Frank.Ritter@psu.edu
College of Information Sciences and Technology Penn State11 Sep 24, site at frankritter.com
[All papers also available upon request to the author, Frank.Ritter@ist.psu.edu, via pdf files or hardcopy.]
ACS Lab Tech reports have been moved to: frankritter.com/reports General papers to have read
How to submit and handle papers ICCM Proceedings Skills to Obstruct Pandemics tutor
Code and talks
Eye-hand movies General talk on HCI (11/98 updated 5/01)
ACT-R Appraisal/caffeine overlay, code, displays Eye and hand in Tcl/TK for Soar 7 and 8 (6/02)
A set of background videos for Zoom that serve as timers. They were developed with David Reitter and Martin Yeh. You add them to Zoom and they put a timer up.
Books, special issues, and case studies
Ritter, F. E. (accepted July 2022). Design patterns for cognitive simulations and HCI. Oxford University Press. [Table of contents, 25jan24]
Ricupero, S., & Ritter, F. E. (2023). Running behavioral studies with human participants: Online. Sage Research Methods: Doing Research Online. [case study] 19 pages.st
Cassenti, D. N., Veksler, V. D, Ritter, F. E. (2022). Editor’s review and introduction: Cognition inspired artificial intelligence. Topics in Cognitive Science. 14. 652-664.
Oury, J. D., & Ritter, F. E. (2021). Building Better Interfaces for Remote Autonomous Systems: An Introduction for Systems Engineers. Cham, Switzerland: Springer Nature Switzerland AG. [Flyer] [Online, open-access (FREE) copy] [local copy]
Ritter, F. E., Clase, A. C., Harvill, S. L., Yeh, M. K.-C., Joseph, R. E., Oury, J. J., Oury, J. D., Fenstermacher, A., Brener, M., & James, J. J. (2020). Skills to Obstruct Pandemics: How to protect yourself and your community from COVID-19 and related infections. Mechanicsburg, PA: Sunbury Press. [Front matter and Introduction] [Flyer] [Tutor the book is based on] [PSU press release]
Reitter, D., & Ritter, F. E. (2017). Introduction to the issue on Computational Models of Memory: Selected papers from the International Conference on Cognitive Modeling. Topics in Cognitive Science. 9(1). 48-50.
Reitter, D., & Ritter, F. E. (2016). Proceedings of ICCM, 14th International Conference on Cognitive Modeling (ICCM 2016). 284 pages. University Park, PA: Penn State. http://acs.ist.psu.edu/iccm2016/proc/
Ritter, F. E., Baxter, G. D., & Churchill, E. F. (2014). Foundations for designing user-centered systems: What system designers need to know about people. 442 + xxx pages. Springer Science+Business Media. Also translated into Chinese (2017).
Ritter, F. E., Kim, J. W., Morgan, J. H., & Carlson, R. A. (2013). Running behavioral studies with human participants: A practical guide. Thousand Oaks, CA: Sage. [web site for book]
Ritter, F. E., Kennedy, W. G., Best, B. J. (2013). The best papers from BRIMS 2011: Models of users and teams interacting. Computational Mathematical and Organizational Theory. 19(3). 283-287.
Kennedy, G. W., Ritter, F. E., & Best, B. J. (2011). Behavioral representation in modeling and simulation introduction to CMOT special issue—BRiMS 2010. Computational Mathematical and Organizational Theory, 17, 225-228.
Kennedy, W. G., Ritter, F. E., Best, B. J. (2010). Behavioral Representation in Modeling and Simulation Introduction to CMOT Special Issue—BRiMS 2009. Computational and Mathematical Organization Theory. 16(3), 217-219.
Ritter, F. E., & Nerb, J., O'Shea, T., & Lehtinen, E. (Eds.), (2007). In order to learn: How the sequence of topics influence learning. New York, NY: Oxford University Press.
Ritter, F. E. [panel member], (2007). Committee Human-System Design Support for Changing Technology. A new approach to system design using risk in human-system integration. Richard W. Pew and Anne S. Mavor, editors. National Research Council, National Academy Press. Washington DC. [Executive summary]Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (2003). Techniques for modeling human and organizational behaviour in synthetic environments: A supplementary review. Wright-Patterson Air Force Base, OH: Human Systems Information Analysis Center. [Abstract] [whole file] [Announcement and parts] [local copy of file]
Ritter, F. E., & Young, R. M. (2001). Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design. International Journal of Human-Computer Studies, 55, 1-14.
Ritter, F. E., & Young, R. M. (Eds.). (1998). Proceedings of the Second European Conference on Cognitive Modelling. Thrumpton (UK): Nottingham University Press. ISBN 1-897676-67-0
ICCM 2023 Proceedings, published by ACS Lab, Penn State.
ICCM 2022 Proceedings, published by ACS Lab, Penn State.
ICCM 2021 Proceedings, published by ACS Lab, Penn State.
ICCM 2020 Proceedings, published by ACS Lab, Penn State.
ICCM 2019 Proceedings, published by ACS Lab, Penn State.
ICCM 2018 Proceedings, published by ACS Lab, Penn State.
ICCM 2017 Proceedings, published by ACS Lab, Penn State.
ICCM 2016 Proceedings, published by ACS Lab, Penn State. [by paper site]
Refereed journal articles and scholarly articles
Ritter, F. E. (2024). How unusable systems can be successes: When you are not a stakeholder. Ergonomics in Design. 32(1). 56-62.
See also: The Chronicle of Higher Education for a similar missive
"Who chooses what Ed Tech to buy for the college classroom? Decision-making silos are the likely culprit behind disappointing digital teaching tools"
(paywall that can be bypassed).
Cornell working on the problem of "shadow work" or "gray work" Report itself
Stanford MD on this problem in medicine3 Report itself
NSF Report "Reducing investigators' administrative workload for federally funded research"
Note by Leo Baranek on how BBN worked well by removing shadow work
Review of Baranak's "BBN History" for Computing Reviews
Wong and Gerras (2015) at the US Army War College on overcommitment being a problem in the US Army
ACM code of ethics noting that "...all people are stakeholders in computing."
Ritter, F. E., & Engleka, A. C. (2024). Professors need not be just a pretty face: How faculty directories can decrease the opportunity for bias and better support users by directly providing semantic information. Interacting with Computers. 36(4). 224-239.
Tehranchi, F., Bagherzadehkhorasani, A., & Ritter, F. E. (2023). A user model to directly compare two unmodified interfaces: A study of including errors and error corrections in a cognitive user model. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 37(e27), 1-11.
Ricupero, S., & Ritter, F. E. (in press). Caffeine and cognition: A cognitive architecture-based review. Theoretical Issues in Ergonomics Science.
Ritter, F. E., Qin, M., MacDougall, K., & Chae, C. (2023). Lessons from surveying tutoring tools: It’s a big world out there. Interactive Learning Environments, 31(4), 2444-2451.
Ritter, F. E., Yeh, M. K.-C., Stager, S., McDermott, A. F., & Weyhrauch, P. W. (2023). The effect of task fidelity on learning curves, a synthetic analysis. International Journal of Human-Computer Interaction. 39(11), 2253-2267.
Oury, J. D., Ritter, F. E., & Cissé, F. B. (2022). Counting pandemic statistics remotely using webcams. Disaster Medicine and Public Health Preparedness, 16, 1817–1821.
Garrison, C. M., Ritter, F. E., Bauchwitz, B. R., Niehaus, J., Weyhrauch, P. W. (2021). A computer-based tutor to teach nursing trauma care that works as an adjunct to high fidelity simulation. Computers, Informatics, Nursing. 39(2). 63-68.
Ritter, F. E., Tehranchi, F., Dancy, C. L., & Kase, S. E. (2020). Some futures for cognitive modeling and architectures: Design patterns that you can too. Computational and Mathematical Organization Theory. 26(3), 278-306.
Morita, J., Miwa, K., Maehigasi, A., Terai, H., Kojima, K., & Ritter, F. E. (2020). Cognitive modeling of automation adaptation in a time critical task. Frontiers of Psychology, 11, Paper 2149.Ritter, F. E., Yeh, M. K.-C., Yan, Y., Siu, K.-C., Oleynikov, D. (2020). Effects of varied surgical simulation training schedules on motor-skill acquisition, Surgical Innovation. 27(1). 68-80. https://doi.org/10.1177/1553350619881591
Ghafurian, M., Reitter, D., & Ritter, F. E. (2020). Countdown timer speed: A trade-off between delay duration perception and recall. ACM Transactions on Computer-Human Interaction, 27(2), Article No. 11.
Friedrich, M. B., & Ritter, F. E. (2020). Understanding strategy differences in a diagrammatic reasoning task. Cognitive Systems Research, 59, 133-150.
Doozandeh, P., & Ritter, F. E. (2019). Some tips for academic writing and using Microsoft Word. XRDS 26(1). 10-11. [longer version]
Ritter, F. E., Tehranchi, F., Oury, J. D. (2019). ACT-R: A cognitive architecture for modelling cognition. Wiley Interdisciplinary Reviews: Cognitive Science.10(3). Paper e1488.
Bolkhovsky, J., Ritter, F. E., Chon, K. H., & Qin, M. (2018). Performance trends during sleep deprivation. Aerospace Medicine and Human Performance, 89(7), 626-633(628).
Kase, S., Ritter, F. E., Bennett, J. M., Klein, L. C., & Schoelles, M. (2017). Fitting a model to behavior reveals what changes cognitively when under stress and with caffeine. Biologically Inspired Cognitive Architectures. 22. 1-9.
Dancy, C. L., & Ritter, F. E. (2017). IGT-Open: An open source, computerized version of the Iowa Gambling Task, Behavioral Research Methods. 49(3). 972-978.
Reitter, D., & Ritter, F. E. (2017). Introduction to the Issue on Computational Models of Memory: Selected papers From the International Conference on Cognitive Modeling. Topics in Cognitive Science. 9. 48-50.
Paik, J., & Ritter, F. E. (2016). Evaluating a range of learning schedules: Hybrid training schedules may be as good or better than distributed practice for some tasks. Ergonomics. 59(2). 276-290.
Siu, K., Best, B. J., Kim, J. W., Oleynikov, D., & Ritter, F. E. (2016). Adaptive virtual reality training to optimize military medical skills acquisition and sustainment. Military Medicine. 181(5), 214-220.
Paik, J., Kim, J. W., Ritter, F. E., & Reitter, D. (2015). Predicting user performance and learning in human-computer interaction with the Herbal compiler. ACM Transactions on Computer-Human Interaction. 22(5). Article No. 25.
Dancy, C. L., Ritter, F. E., Berry, K., & Klein, L. C. (2015). Using a cognitive architecture with a physiological substrate to represent effects of psychological stress on cognition. Computational and Mathematical Organization Theory. 21(1), 90-114.
Zhao, C., Kaulakis, R., Morgan, J. H., Hiam, J. W., Ritter, F. E., Sanford, J., Morgan, G. P. (2015). Building social networks out of cognitive blocks: factors of interest in agent-based socio-cognitive simulations. Computational and Mathematical Organization Theory, 21(2), 115-149.
Kim, J. W., & Ritter, F. E. (2015). Learning, forgetting, and relearning for keystroke- and mouse-driven tasks: Relearning is important. Human-Computer Interaction. 30(1), 1-33.
Klein, L. C., Whetzel, C. A., Bennett, J. M., Ritter, F. E., Nater, U., & Schoelles, M. (2014). Caffeine administration does not alter salivary alpha-amylase activity in young male daily caffeine consumers. BMC Research Notes. 7: 30 [6 pages].
Zhao, C., Morgan, J. H., & Ritter, F. E. (2013). Understanding human high-level spatial memory: An ACT-R model to integrate multi-level spatial cues and strategies. Biologically Inspired Cognitive Architectures, 3, 1-5.
Morgan, J. H., Cheng, C.-Y., Pike, C., & Ritter, F. E. (2013). A design, tests, and considerations for improving keystroke and mouse loggers. Interacting with Computers. 25(3), 242-258.
Kim, J. W., Ritter, F. E., & Koubek, R. J. (2013). An integrated theory for improved skill acquisition and retention in the three stages of learning. Theoretical Issues in Ergonomics Science. 14(1), 22-37.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2012). Dimensions of concern: A method to use cognitive dimensions to evaluate interfaces. ACM Transactions on CHI. 19(2) Article 9.
Ritter, F. E., Bittner, J. L., Kase, S. E., Evertsz, R., Pedrotti, M., & Busetta, P. (2012). CoJACK: A high-level cognitive architecture with demonstrations of moderators, variability, and implications for situation awareness. Biologically Inspired Cognitive Architectures, 1(1), 2-13.
Georgeon, O. L., & Ritter, F. E. (2012). An intrinsically-motivated schema mechanism to model and simulate emergent cognition. Cognitive Systems Research. 15-16(May-June), 73–92.
Georgeon, O., Mille, A., Bellet, T., Mathern, B., & Ritter, F. E. (2012). Supporting activity modelling from activity traces. Expert Systems. 29(3). 261-275.
Christou, G., Ritter, F. E., & Jacob, R. J. K. (2012). CODEIN—A new notation for GOMS to handle evaluations of reality-based interaction style interfaces. International Journal of Human-Computer Interaction, 28(3), 189-201.
Qiu, B., Ivanova, K., Yen, J., Liu, P., & Ritter, F. E. (2011). Event-driven modeling of social networks. Journal of Social Computing and Cyber-Physical Systems. 1(1). 13-32
Morgan, J. H., Morgan, G. P., & Ritter, F. E. (2010). A preliminary model of participation for small groups. Computational and Mathematical Organization Science, 16, 246-270.
Klein, L. C., Bennett, J. M., Whetzel, C. A., Granger, D. A., & Ritter, F. E. (2010). Caffeine and stress alter salivary α-Amylase levels in young men. Human Psychopharmacology: Clinical and Experimental. 25. 359-367.
Yeh, K.-C., Gregory, J. P., & Ritter, F. E. (2010). One Laptop per Child: Polishing up the XO Laptop user experience. Ergonomics in Design. 18(3). 8-13. [as submitted, local version]
Baumann, M. R. K., Krems, J. F., & Ritter, F. E. (2010). Learning from examples does not prevent order effects in belief revision. Thinking & Reasoning. 16(2). 98-130.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2010). Applying software engineering to agent development. AI Magazine. 31(2), 25-44.
Ritter, F. E. (2009). Two cognitive modeling frontiers: Emotions and usability. [in English] Journal of Japanese AI Research. 24(2). 241-249.
Ritter, F. E. (2009). 認知モデリングける二つのフロンティア. 感情とユーザビリティ (Two cognitive modeling frontiers: Emotions and usability). [in Japanese] 認知科学におけるモデルベースアプローチ」 (Transactions of the Japanese Society for Artificial Intelligence). 24(2). 245-252. Translated into Japanese by Junya Morita.
Haynes, S. R., Cohen, M. A., & Ritter, F. E. (2009). Design patterns for explaining intelligent systems. International Journal of Human-Computer Studies. 67(1). 99-110.
Ritter, F. E., & Bibby, P. A. (2008). Modeling how, when, and what learning happens in a diagrammatic reasoning task. Cognitive Science. 32, 862-892. [This paper does not cite a paper by Bovair et al. (1990), and it should. Not because ideas were taken from it, at least explicitly, but because the Bovair work is similar and would be useful to anyone going further in this area {The acquisition and performance of text-editing skill: A cognitive complexity analysis. Human-Computer Interaction, 5, 1-48.}]
Ritter, F. E., Kukreja, U., & St. Amant, R. (2007). Including a model of visual processing with a cognitive architecture to model a simple teleoperation task. Journal of Cognitive Engineering and Decision Making. 1(2). 121-147. Associated web site.
St. Amant, R., Horton, T. E., & Ritter, F. E. (2007). Model-based evaluation of expert cell phone menu interaction. ACM Transactions on Computer-Human Interaction, 14(1), Article 1 (May 2007), 24 pages.
Kukreja, U., Stevenson, W. E., & Ritter, F. E. (2006). RUI -- Recording User Input from interfaces under Windows and Mac OS X. Behavior Research Methods. 38(4). 656–659. [Associated web site]
Ritter, F. E., Van Rooy, D., St. Amant, R., & Simpson, K. (2006). Providing user models direct access to interfaces: An exploratory study of a simple interface with implications for HRI and HCI. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans. 36(3). 592-601.
Ritter, F. E., Freed, A. R., & Haskett, O. (2005). User information needs: The case of university department web sites. ACM interactions. 12(5). 19-27.
St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research. 6(1) 71-88.
Ritter, F. E., & Wood, A. B. (2005). Dismal: A spreadsheet for sequential data analysis and HCI experimentation. Behavior Research Methods, Instruments, and Computers. 37(1), 71-81.
Ritter, F. E. (2004). Choosing and getting started with a cognitive architecture to test and use human-machine interfaces. MMI-Interaktiv-Journal's special issue on Modeling and Simulation in Human-Machine Systems. 7. 17-37. [in English, abstract in German, local copy]
Cheyne, T., & Ritter, F. E. (2001). Targetting respondents on the Internet successfully and responsibly. Communications of the ACM, 44(4), 94-98.
Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2000). Supporting cognitive models as users. ACM Transactions on Computer-Human Interaction, 7(2), 141-173.
Jones, G., Ritter, F. E., & Wood, D. J. (2000). Using a cognitive architecture to examine what develops. Psychological Science, 11(2), 93-100.
Kuk, G., Arnold, M., & Ritter, F. E. (1999). Using event history analysis to model the impact of workload on an air traffic tactical controller's operations [DRAFT]. Ergonomics, 42(9), 1133-1148.
Nerb, J., Ritter, F. E., & Krems, J. (1999). Knowledge level learning and the power law: A Soar model of skill acquisition in scheduling. Kognitionswissenschaft [Journal of the German Cognitive Science Society] Special issue on cognitive modelling and cognitive architectures, D. Wallach & H. A. Simon (eds.). 20-29.
Delaney, P. F., Reder, L. M., Staszewski, J. J., & Ritter, F. E. (1998). The strategy specific nature of improvement: The power law applies by strategy within task. Psychological Science. 9(1). 1-8.
Bass, E. J, Baxter, G. D., & Ritter, F. E. (1995). Creating models to control simulations: A generic approach. AI and Simulation of Behaviour Quarterly, 93, 18-25.
Ritter, F. E., & Major, N. P. (1995). Useful mechanisms for developing simulations for cognitive models. AI and Simulation of Behaviour Quarterly, 91(Spring), 7-18.
Reder, L. M., & Ritter, F. E. (1992). What determines initial feeling of knowing? Familiarity with question terms, not the answer. Journal of Experimental Psychology: Learning, Memory, and Cognition, 18(3), 435-451. (This paper was also reviewed in the Dutch paper NRC Handelsbad, similar to the Wall Street Journal, in August 1992.)
Peer reviewed conference publications
Wu, S., Souza, R. F., Ritter, F. E., & Lima Jr, W. L. (2024). Comparing LLMs for prompt-enhanced ACT-R and Soar model development: A case study in cognitive simulation. Proceedings of the AAAI 2023 Fall Symposium Series (FSS-23). Section on Integrating Cognitive Architecture and Generative Models, 2(1), 422-427.
Lavrov, E., Serdiuk, S., Ritter, F. E., Siryk, O., Presnall, A., Chybiriak, Y., & Zarina, S., (2023). Human factors in automated systems. Methodology for the computer system “International Center for the Support of Ergonomic Design and Research”. 2023 IEEE 5th International Conference on Advanced Information and Communication Technologies (AICT), Lviv [Ukraine]. 147-151. [available from IEEE or the authors]
Previously submitted and accepted to Problems of Infocommunications, Science and Technology
(PIC S&T′2023) (at the Kharkiv National University of Radio Electronics, cancelled due to war).
Wang, S. N., & Ritter, F. E. (2023). Modeling multiple strategies and learning in a complex fault-finding task. 16th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BriMS) 2023. 23-BRIMS-086.
Wu, S., Bagherzadeh, A., Ritter, F. E., & Tehranchi, F. (2023). Cognition models bake-off: Lessons learned from creating long-running cognitive models. 16th International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation (SBP-BriMS) 2023. 23-BRIMS-057. 333-334.
Wu, S., Bagherzadeh, A., Ritter, F. E., & Tehranchi, F. (2023). Long road ahead: Lessons learned from the (soon to be) longest running cognitive model. In Proceedings of 21st International Conference on Cognitive Modeling (ICCM), 281-287.
Ritter, F. E., Brener, M., & Bolkhovsky, J. B. (2021). An initial description of capabilities and constraints for a computational auditory system (an artificial ear) for cognitive architectures. In Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems, ACS-21_paper_11.
Tehranchi, F., Oury, J. D., & Ritter, F. E. (2021). Predicting learning and retention of a complex task using a cognitive architecture. In Proceedings of the 43rd Annual Conference of the Cognitive Science Society. 1077-1083.
Cai, T., Chen, C., Huang, T. H. K., Ritter, F. E. (2021). What makes a good reference manager? AsianCHI 21. 64-69. Best paper award.
Wang, J., Shen, H., Chen, C., Ritter, F. E. (2021). Are learners satisfied with their MOOC experiences? Assessing and improving online learners' interactions. AsianCHI 21. 215-220.
Tehranchi, F., & Ritter, F. E. Chae, C. (2020). Visual attention during E-Learning: Eye-tracking shows that making salient areas more prominent helps learning in online tutors. In Proceedings of the 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020). 3164-3170.
Ritter, F. E., & McDermott, A. F. (2020). The effect of task fidelity on learning curves. In Proceedings of the 18th International Conference on Cognitive Modeling (ICCM 2020). 229-235. [Link to video poster]
Schwartz, D., Tehranchi, F., & Ritter, F. E. (2020). Drive the bus: Extending JSegMan to drive a virtual long-range bus. Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2020). 241-246. [Link to video poster]
Glantz, E. J., Ritter, F. E., Gilbreath, D., Stager, S. J., Anton, A., & Emani, R. (2020). UAV use in disaster management. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 914–921). Blacksburg, VA (USA): Virginia Tech.
Garrison, C. M., Ritter, F. E., Weyhrauch, P., Niehaus, J., & Bauchwitz, B. (2019). A computer-based tutor to teach nursing trauma care that works as an adjunct to high fidelity simulation. Abstract accepted for podium and poster presentation at the International Meeting on Simulation in Healthcare, January 2019, San Antonio, TX.
Also as:
Garrison, C. M., Ritter, F. E., Weyhrauch, P., Niehaus, J., & Bauchwitz, B. (2019). A computer-based tutor to teach nursing trauma care that works as an adjunct to high fidelity simulation. Simulation in Healthcare [journal supplement] 14(4). Abstract #173, e28-e29.
Middleton, V. E., Weyhrauch, P. W., Spenser Lynn, S., Ritter, F. E., & Dancy, C. L. (2018). Dynamic Representation for Evaluating the Effect of Moderators and Stress on Performance (DREEMS). 2018 Fall Simulation Innovation Workshop. 18F-SIW-010. 12 pages.
Tehranchi, F., & Ritter, F. E. (2018). Modeling visual search in interactive graphic interfaces: Adding visual pattern matching algorithms to ACT-R. In Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018). 162-167.
Tehranchi, F., & Ritter, F. E. (2017). An eyes and hands model for cognitive architectures to interact with user interfaces. In MAICS, The 28th Modern Artificial Intelligence and Cognitive Science Conference. 15-20. Fort Wayne, IN: Purdue University.
Dancy, C. L., & Ritter, F. E. (2017). A standard model of the mind needs a body. In Standard model of the mind, AAAI Fall workshop series. 5 pages.
Dancy, C. L., Ritter, F. E., Hillary, F. G., Voller, K. (2017). Sex-dependent effects of emotional subliminal visual stimuli on a decision-making task. In Proceedings of the Cognitive Science Society. 1872-1877.
Glantz, E. J., & Ritter, F. E. (2017). Integrative risk identification approach for mass-gathering security, Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management, Albi, France. 363-373.
Kim, J., & Ritter, F. E. (2016). Microgenetic analysis of learning a task: Its implications to cognitive modeling. In Proceedings of ICCM, 14th International Conference on Cognitive Modeling (ICCM 2016). 21-26. University Park, PA: Penn State.
Burns, M., Ritter, F. E., & Zhang, X. (2016). Using naturalistic typing to update architecture typing constants. In Proceedings of ICCM, 14th International Conference on Cognitive Modeling (ICCM 2016). 169-175. University Park, PA: Penn State.
Li, N., Zhao, C., Choe, E. K., Ritter, F. E. (2015). HHeal: A personalized health app for flu tracking and prevention. In CHI EA '15, Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems. 1415-1420. New York, NY: ACM.
Dancy, C. L. Ritter, F. E., & Gunzelmann, G. (2015). Two ways to model the effects of sleep fatigue on cognition. In Proceedings of the 13th International Conference on Cognitive Modeling 201 5. 258-263.
Glantz, E. J., Ritter, F. E., & Endsley, T. (2015). Ebola and yellow fever crisis management insights. Proceedings of the ISCRAM 2015 Conference. Palen, Buescher, Comes, & Hughes (eds.). (short paper, 7 pages).
Morita, J., Miwa, K., Maehigashi, A., Terai, H., Kojima, K., & Ritter, F. E. (2014). Modeling adaptation on automated vehicle operation. In 2014 年度日本認知科学会第31回大会 (The 31st Annual Meeting of the Japanese Cognitive Science Society), O1-1. 63-68.
Evertsz, R., Lucas, A., Smith, C., Pedrotti, M., Ritter, F. E., Baker, R., & Burns, P. (2014). Enhanced behavioral realism for live fire targets. In Proceedings of the 23rd Conference on Behavior Representation in Modeling and Simulation. [8 pages, online proceedings]. BRIMS Society: Centerville, OH.
Ritter, F. E., Yeh, K.-C., Cohen, M. A., Weyhrauch, P., Kim, J. W., & Hobbs, J. N. (2013). Declarative to procedural tutors: A family of cognitive architecture-based tutors. In Proceedings of the 22nd Conference on Behavior Representation in Modeling and Simulation. BRIMS2013-127. 108-113. BRIMS Society: Centerville, OH.
Zhao, C., Kaulakis, R., Morgan, J. H., Hiam, J. W., Ritter, F. E. (2012). Modeling a cognitively limited network in an agent-based simulation. In Proceedings of the 34th Annual Conference of the Cognitive Science Society, 2603-2608. Cognitive Science Society: Austin, TX.
Kase, S. E., & Ritter, F. E. (2012). Light models of civilian support in blue-red operations. In ICCRTS 2012: 17th International Command and Control Research and Technology Symposium, [electronic proceedings, 21 pages]. Command and Control Research Program (CCRP), the Office of the Assistant Secretary of Defense: Washington, DC.
Kennedy, W. G., Ritter, F. E., Lebiere, C., Juvina, I., Oltramari, A., Gratch, J., Young, R. M. (2012). Cognitive Modeling of Processes “Beyond Rational”. In Proceedings of ICCM - 2012- Eleventh International Conference on Cognitive Modeling. 55-58. Berlin: Universitaetsverlag der TU Berlin.
Kaulakis, R., Zhao, C., Morgan, J. H. Hiam, J. W., Sanford, J. P., Ritter, F. E. (2012). Defining factors of interest for large-scale socio-cognitive simulations. In Proceedings of ICCM - 2012- Eleventh International Conference on Cognitive Modeling. 117-122. Berlin: Universitaetsverlag der TU Berlin.
Dancy, C. L., Ritter, F. E., & Berry, K. (2012). Towards adding a physiological substrate to ACT-R. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation. 12-BRIMS-014. 78-85. BRIMS Society: Amelia Island, FL. [Best paper award]
Zhao, C., Kaulakis, R., Morgan, J. H., Hiam, J. W., Sanford, J. P., Ritter, F. E., & Morgan, G. P. (2012). Socio-cognitive networks: Modeling the effects of space and memory on generative social structures. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation. 12-BRIMS-007. 24-31. BRIMS Society: Amelia Island, FL. [Recommended Read]
Orendovici, R., & Ritter, F. E. (2012). Social network analysis and simulation of the development of adversarial networks. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation. 12-BRIMS-019. 119-126. BRIMS Society: Amelia Island, FL.
Ritter, F. E., & Yeh, K.-C. M. (2011). Modeling pharmacokinetics and pharmacodynamics on a mobile device to help caffeine users. In Augmented Cognition International Conference 2011, FAC 2011, HCII 2011, LNAI 6780, 528-535. Springer-Verlag: Berlin Heidelberg.
Ritter, F. E., Kim, J. W., Morgan, J. H., & Carlson, R. A. (2011). Practical aspects of running experiments with human participants. In Universal Access in HCI, Part I, HCII 2011, LNCS 6765, 119–128. Springer-Verlag Berlin.
Morita, J., Miwa, K., Maehigasi, A., Terai, H., Kojima, K. & Ritter, F. E. (2011). Modeling human-automation interaction in a unified cognitive architecture. In Proceedings of the 20th Conference on Behavior Representation in Modeling and Simulation. 146-153. 11-BRIMS-022.
Zhao, C., Hiam, J. W., Morgan, J. H., Ritter, F. E. (2011). A multi-strategy spatial navigation model in a text-based environment. In Proceedings of the 20th Conference on Behavior Representation in Modeling and Simulation. 251-258. 11-BRIMS-036.
Zhao, C., Paik, J., Morgan, J. H., & Ritter, F. E. (2010). Validating a high level behavioral representation language (Herbal): A docking study between for ACT-R. In Biologically Inspired Cognitive Architectures, Proceedings of the First Annual Meeting of the BICA Society. IOS Press.
Velazquez, M. A., & Frank E. Ritter, F. E. (2010). External factors affecting perceived usability: A closer look at the effect of emotion prior to interaction. In the 7th International Conference on Design & Emotion, [CD ROM proceedings]. IIT Institute of Design: Chicago, IL.
Georgeon, O. L., Morgan, J. H., & Ritter, F. E. (2010). An algorithm for self-motivated hierarchical sequence learning. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of ICCM - 2010- Tenth International Conference on Cognitive Modeling (pp. 73-78).
Paik, J., Kim, J. W., Ritter, F. E., Morgan, J. H., Haynes, S. R., & Cohen, M. A. (2010). Building large learning models with Herbal. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of ICCM - 2010- Tenth International Conference on Cognitive Modeling (pp. 187-191).
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2009). Evaluating design: A formative evaluation of agent development environments used for teaching rule-based programming. In The Proceedings of the Information Systems Education Conference 2009. v 26 (Washington DC): §1754. ISSN: 1542-7382.
Ritter, F. E., Kase, S. E., Klein, L. C., Bennett, J., & Schoelles, M. (2009). Fitting a model to behavior tells us what changes cognitively when under stress and with caffeine. In Proceedings of the Biologically Inspired Cognitive Architectures Symposium at the AAAI Fall Syposium. Keynote presentation. Technical Report FS-09-01. 109-115. AAAI Press: Menlo Park, CA.
Kase, S. E., Ritter, F. E., Schoelles, M. (2009). Serial subtraction errors revealed. In Proceedings of the 31th Annual Conference of the Cognitive Science Society, 1551-1556. Cognitive Science Society: Austin, TX.
Kase, S. E., Ritter, F. E., & Schoelles, M. (2009). Caffeine’s effect on appraisal and mental arithmetic performance: A cognitive modeling approach tells us more. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling. 39-46. 09-BRIMS-10. Manchester, England.
Evertsz, R., Pedrotti, M., Busetta, P., Acar, H., & Ritter, F. E. (2009). Populating VBS2 with realistic virtual actors. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation. 1-8. 09-BRIMS-04.
Kase, S., & Ritter, F. E. (2009). A high performance approach to model calibration and validation. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation. 39-46. 09-BRIMS-10.
Georgeon, O. L., Ritter, F. E., & Haynes, S. R. (2009). Modeling bottom-up learning from activity in Soar. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation. 65-72. 09-BRIMS-16.
Morgan, J. H., Morgan, G. P., Ritter, F. E., & Poncelin de Raucourt, V. (2009). A preliminary model of participation. In Proceedings of the 18th Conference on Behavior Representation in Modeling and Simulation. 129-136. 09-BRIMS-27.
Haynes, S. R., Kannampallil, T. G., Cohen, M. A., Soares, A., & Ritter, F. E. (2008). Rampart: A service and agent-based architecture for anti-terrorism planning and resource allocation. In Proceedings of the First European Conference on Intelligence and Security Informatics, EuroISI 2008 (Esbjerg, Denmark, 2008), 260-270. Springer: Berlin.
Kase, S., Ritter, F. E., & Scholles, M. (2008). From modeler-free individual data fitting to 3-D parametric prediction landscapes: A research expedition. In Proceedings of the 2006 Conference of the Cognitive Science Society. 1398-1403. Cognitive Science Society: Austin, TX. [poster]
Christou, G., Ritter, F. E., & Jacob, R. J. K. (2008). Modeling prehensile actions for the evaluation of tangible user interfaces. Proceedings of ITI 08 International Conference of Information Technology Interfaces, Cavtat/Dubrovnik, Croatia. IEEE Xplore.
Evertsz, R., Ritter, F. E., Busetta, P., & Pedrotti, M. (2008). Realistic behaviour variation in a BDI-based cognitive architecture. In Proceedings of the SimTecT ’08 Conference. SIAA Ltd.: Melbourne, Australia. http://www.siaa.asn.au/library_simtect_2007.html
Evertsz, R., Busetta, P., Pedrotti, M., Ritter, F. E., & Bittner, J. L. (2008). CoJACK—Achieving principled behaviour variation in a moderated cognitive architecture. Proceedings of the 17th Conference on Behavior Representation in Modeling and Simulation. 08-BRIMS-025. Orlando, FL: U. of Central Florida.
Ritter, F. E. (2008). dTank: A lightweight synthetic environment for teaching and theoretical research, In Hansberger, J. T., & Best, B. J. (eds), Human Behavioral Synthetic Research Environments (HB-SRE) Symposium. In Proceedings of the 17th Conference on Behavior Representation in Modeling and Simulation, 08-BRIMS-034. U. of Central Florida: Orlando, FL.
Klein, L. C., Bennett, J. M., Whetzel, C. A., & Ritter, F. E. (2008). Daily caffeine use impacts neuroendocrine and cardiovascular responses to laboratory stress in healthy men. Presented at the annual meeting of the American Psychosomatic Society, Baltimore, MD. Psychosomatic Medicine, 70(3), A-58.
Carroll, J. M., Haynes, S. R., Ritter, F. E., Rosson, M. B., & Zhang, X. L. (2008). The d-school in the i-school: HCI and design research. iConference 2008.
Kase, S. E., Ritter, F. E., & Schoelles, M. (2007). Using HPC and PGAs to optimize noisy computational models of cognition. In Proceedings of International Joint Conferences on Computer, Information, and System Sciences, and Engineering, CISSE 2007.
[also citable as:
Kase, S. E., Ritter, F. E., Schoelles, M. (2008). Using HPC and PGAs to optimize noisy computational models of cognition. In K. Elleithy (Ed.), Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering (pp. 477-482): Springer.]
Bernard, M. L., Forsythe, J. C., Allender, L., Cohn, J., Radvansky, G., & Ritter, F. E. (2007). The next generation of cognitive modeling tools: Opportunities, challenges and basic needs. In Proceedings of the Human Factors and Ergonomics Society. 799-801. Santa Monica, CA: Human Factors and Ergonomics Society.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2007). Using reflective learning to master opponent strategy in a competative environment. In Proceedings of the 8th International Conference on Cognitive Modeling. Lewis, R. L., Polk, T. A., Laird, J. E., (eds.). 157-162. Oxford, UK: Taylor & Francis/Psychology Press.
Kim, J. W., Koubek, R. J., & Ritter, F. E. (2007). Investigation of procedural skills degradation from different modalities. In Proceedings of the 8th International Conference on Cognitive Modeling. Lewis, R. L., Polk, T. A., Laird, J. L., (eds.). 255-260. Oxford, UK: Taylor & Francis/Psychology Press.
Ritter, F. E., Schoelles, M., Klein, L. C., & Kase, S. E. (2007). Modeling the range of performance on the serial subtraction task. In Proceedings of the 8th International Conference on Cognitive Modeling. Lewis, R. L., Polk, T. A., Laird, J. L., (eds.). 299-304. Oxford, UK: Taylor & Francis/Psychology Press.
Ritter, F. E., Kase, S. E., Bhandarkar, D., Lewis, B., & Cohen, M. A. (2007). dTank updated: Steps towards exploring moderator-influenced behavior in a light-weight synthetic environment. Proceedings of the 16th Conference on Behavior Representation in Modeling and Simulation. 51-60. 07-BRIMS-014. Orlando, FL: U. of Central Florida.
Evertsz, R., Ritter, F. E., Russell, S., & Shepherdson, D. (2007). Modeling rules of engagement in computer-generated forces. Proceedings of the 16th Conference on Behavior Representation in Modeling and Simulation. 123-134. Orlando, FL: U. of Central Florida. 07-BRIMS-021.
St. Amant, R., McBride, S. P., & Ritter, F. E. (2007). AI support for building cognitive models. Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06). 1663-1666. Menlo Park, CA: AAAI Press.
Gluck, K., Gunzelmann, G., Gratch, J., Hudlicka, E., & Ritter, F. E. (2006). Modeling the impact of cognitive moderators on human cognition and performance. Proceedings of the 2006 Conference of the Cognitive Science Society. 2658. Mahwah, NJ: Lawrence Erlbaum.
Ritter, F. E., Haynes, S. R., Cohen, M. Howes, A., John, B., Best, B., Lebiere, C., Jones, R. M., Crossman, J., Lewis, R. L., St. Amant, R., McBride, S. P., Urbas, L., Leuchter, S., & Vera, A. (2006). High-level Behavior Representation Languages Revisited. In Proceedings of ICCM - 2006- Seventh International Conference on Cognitive Modeling. 404-407. Trieste, Italy: Edizioni Goliardiche.
Kim, J., Ritter, F. E., Koubek, R. J. (2006). ESEGMAN: A substrate for ACT-R architecture and an Emacs Lisp application. In Proceedings of ICCM - 2006- Seventh International Conference on Cognitive Modeling. 375. Trieste, Italy: Edizioni Goliardiche.
Bennett, J. M., Whetzel, C. A., Ritter, F. E., Reifers, A., & Klein, L. C. (2006). Effects of caffeine and stress on cortisol and serial subtraction performance in young healthy men. Psychosomatic Medicine 68(1). A-62. [abstract of poster presented at the annual meeting of the American Psychosomatic Society, Denver, CO.]
Klein, L. C., Whetzel, C. A., Bennett, J. M., Ritter, F. E., & Granger, D. A. (2006). Effects of caffeine and stress on salivary alpha-amylase in young men: A salivary biomarker of sympathetic activity. Psychosomatic Medicine 68(1). A-4. [abstract of talk presented at the annual meeting of the American Psychosomatic Society, Denver, CO.] http://www.psychosomaticmedicine.org/misc/AbstractsForJournal062-9final.pdf
Whetzel, C. A., Ritter, F. E., & Klein, L. C. (2006). DHEA-S and cortisol responses to stress and caffeine in healthy young men: Is DHEA-S a reliable marker for stress? Psychosomatic Medicine 68(1). A-77. [abstract of poster presented at the annual meeting of the American Psychosomatic Society, Denver, CO.]
St. Amant, R., Riedl, M. O., Ritter, F. E., & Reifers, A. (2005). Image processing in cognitive models with SegMan. In Proceedings of HCI International, 2005. (Invited.) Volume 4 - Theories Models and Processes in HCI. Paper # 1869.
Morgan, G. P., Ritter, F. E., Stevenson, W. E., Schenck, I. N., & Cohen, M. A. (2005). dTank: An environment for architectural comparisons of competitive agents. In L. Allender & T. Kelley (Eds.), Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation. 133-140. 05-BRIMS-043. Orlando, FL: U. of Central Florida.
Cohen, M. A., Ritter, F. E., & Haynes, S. R. (2005). Herbal: A high-level language and development environment for developing cognitive models in Soar. In Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation. 177-182. 05-BRIMS-044. Orlando, FL: U. of Central Florida.
Morgan, G. P., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2005). Increasing efficiency of the development of user models. In Proceedings of the 2005 Systems and Information Engineering Design Symposium. Ellen J. Bass, (ed). IEEE and Department of Systems and Information Engineering, University of Virginia: Charlottesville, VA.
Ritter, F. E., Reifers, A., Klein, L. C., Quigley, K., & Schoelles, M. (2004). Using cognitive modeling to study behavior moderators: Pre-task appraisal and anxiety. In Proceedings of the Human Factors and Ergonomics Society. 2121-2125. Santa Monica, CA: Human Factors and Ergonomics Society.
Tor, K., & Ritter, F. E. (2004). Using a genetic algorithm to optimize the fit of cognitive models. In Proceedings of the Sixth International Conference on Cognitive Modeling. 308-313. Mahwah, NJ: Lawrence Erlbaum.
Tor, K., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2004). Categorical data displays generated from three cognitive architectures illustrate their behavior. In Proceedings of the International Conference on Cognitive Modeling. 302-307. Mahwah, NJ: Lawrence Erlbaum.
Belavkin, R. V., & Ritter, F. E. (2004). OPTIMIST: A new conflict resolution algorithm for ACT-R. In Proceedings of the Sixth International Conference on Cognitive Modeling. 40-45. Mahwah, NJ: Lawrence Erlbaum.
St. Amant, R., & Ritter, F. E., (2004). Automated GOMS to ACT-R model generation. In Proceedings of the Sixth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum. [Best applied paper prize]
Norling, E., & Ritter, F. E., (2004).
Towards supporting psychologically plausible variability in agent-based human modelling. In The
Third International Joint Conference on Autonomous Agents and Multi
Agent Systems (AAMAS04). 758-765. New York, NY: ACM.
"© ACM, (2004). This is the author's version of
the work. It is posted here by permission of ACM for your personal
use. Not for redistribution. The definitive version was published in
[as above], which will be available from the ACM web site
http://doi.acm.org/"
Tor, K., Ritter, F. E., Haynes, S. R., & Cohen, M. A. (2004). CaDaDis: A tool for displaying the behavior of cognitive models and agents. In Proceedings of the 13th Conference on Behavior Representation in Modeling and Simulation. 04-BRIMS-032. 192-200. Orlando, FL: U. of Central Florida.
St. Amant, R., Horton, T. E., & Ritter, F. E. (2004). Model-based evaluation of cell phone menu interaction. In Proceedings of the CHI'04 Conference on Human Factors in Computer Systems. 343-350. New York, NY: ACM.
Shah, K., Rajyaguru, S., St. Amant, R., & Ritter, F. E. (2003). Image processing for cognitive modeling in dynamic gaming environments. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 189-194. Bamberg, Germany: Universitats-Verlag Bamberg.
Councill, I. G., Haynes, S. R., & Ritter, F. E. (2003). Explaining Soar: Analysis of existing tools and user information requirements. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 63-68. Bamberg, Germany: Universitats-Verlag Bamberg.
Belavkin, R. V., & Ritter, F. E. (2003). The use of entropy for analysis and control of cognitive models. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 21-26. Bamberg, Germany: Universitats-Verlag Bamberg.
Ritter, F. E., Avraamides, M., & Councill, I. G. (2002). An approach for accurately modeling the effects of behavior moderators. In Proceedings of the 11th Computer Generated Forces Conference. 29-40, 02-CGF-002. Orlando, FL: U. of Central Florida.
Avraamides, M., & Ritter, F. E. (2002). Using multidisciplinary expert evaluations to test and improve cognitive model interfaces. In Proceedings of the 11th Computer Generated Forces Conference. 553-562, 02-CGF-100. Orlando, FL: U. of Central Florida.
Ritter, F. E., Van Rooy, D., & St. Amant, R. (2002). A user modeling design tool for comparing interfaces. In C. Kolski & J. Vanderdonckt (Eds.), Computer-Aided Design of User Interfaces III, Proceedings of the 4th International Conference on Computer-Aided Design of User Interfaces CADUI'2002. 111-118. Kluwer Academics Publisher, Dordrecht.
Norling, E., & Ritter, F. E. (2001). Embodying the JACK agent architecture. In M. Stumptner, D. Corbett, & M. Brooks (Eds.), AI 2001: Advances in Artificial Intelligence. Proceedings of the 14th Australian Joint Conference on Artificial Intelligence. 368-377. Berlin: Springer.
Ritter, F. E., & Bibby, P. (2001). Modeling how and when learning happens in a simple fault-finding task. In Proceedings of ICCM - 2001 - Fourth International Conference on Cognitive Modeling. 187-192. Mahwah, NJ: Lawrence Erlbaum.
Ritter, F. E., & Lonsdale, P. (2000). Extending Tcl/Tk to provide a functional eye and hand for the Soar cognitive modelling architecture. To have appeared in Proceedings of the Fifth Biennial Australasian Cognitive Science Conference [lost by publisher!].
Lonsdale, P. R., & Ritter, F. E. (2000). Soar/Tcl-PM: Extending the Soar architecture to include a widely applicable virtual eye and hand. In N. Taatgen & J. Aasman (Eds.), Proceedings of the 3rd International Conference on Cognitive Modelling. 202-209. Veenendaal (NL): Universal Press.
Gobet, F., & Ritter, F. E. (2000). Individual Data Analysis and Unified Theories of Cognition: A methodological proposal. In N. Taatgen & J. Aasman (Eds.), Proceedings of the 3rd International Conference on Cognitive Modelling. 150-157. Veenendaal (NL): Universal Press.
Byrne, M., Chong, R., Freed, M., Ritter, F. E., & Gray, W. (1999). Symposium on Integrated models of perception, cognition, and action. In Proceedings of the 1999 Conference of the Cognitive Science Society. 1. Mahwah, NJ: Lawrence Erlbaum.
Golightly, D., Hone, K. S., & Ritter, F. E. (1999). Speech interaction can support problem solving. In M. A. Sasse & C. Johnson (Eds.), Human-Computer Interaction -- Interact '99. 149-155. IOS Press.
Baxter, G. D., & Ritter, F. E. (1999). Towards a classification of state misinterpretation. In D. Harris (Ed.), The 2nd International Conference on Engineering Psychology and Cognitive Ergonomics. 35-42. Oxford: Ashgate.
Jones, G., & Ritter, F. E. (1998b). Simulating development by modifying architectures. In Proceedings of the Cognitive Science Society. 543-548. Madison, WI: Lawrence Earlbaum.
Jones, G., & Ritter, F. E. (1998a). Initial explorations of modifying architectures to simulate cognitive and perceptual development. In Proceedings of the Second European Conference on Cognitive Modelling. 44-51. Nottingham: Nottingham University Press. superceeded by Jones, Ritter, & Wood 2000
Baxter, G. D., & Ritter, F. E. (1997). Model-computer interaction: Implementing the action-perception loop for cognitive models. In D. Harris (Ed.), The 1st International Conference on Engineering Psychology and Cognitive Ergonomics. vol. 2 215-223. October 1996, Stratford-upon-Avon: Ashgate. Superceeded by Ritter, Baxter, Jones, & Young, 2000
Jones, G., & Ritter, F. E. (1997). Modelling transitions in childrens' development by starting with adults. In European Conference on Cognitive Science, 62-67. Manchester, UK. superceeded by Jones, Ritter, & Wood, 2000
Ritter, F. E., & Baxter, G. D. (1996). Able, III: Learning in a more visibly principled way. In U. Schmid, J. Krems, & F. Wysotzki (Eds.), Proceedings of the First European Workshop on Cognitive Modeling. 22-30. Berlin: Forschungsberichte des Fachbereichs Informatik, Technische Universität Berlin. Code vailable on the web in acs.ist.psu.edu/misc/nottingham/ccc/pub- soar/able/ Paper partially superceeded by Ritter, Jones, & Baxter 1998, but some low level details are elided.
Nichols, S. & Ritter, F. E. (1995) Theoretically motivated tool for automatically generating command aliases. In Proceedings of CHI '95. 393-400.
Ong, R., & Ritter, F. E. (1995). Mechanisms for routinely tying cognitive models to interactive simulations. In HCI International '95. Osaka, Japan: July 1995. superceeded by Ritter, Baxter, Jones, & Young, 2000
Ritter, F. E., Lochun, S., Bibby, P. A., & Marshall, S. (1994). Dismal: A free spreadsheet for sequential data analysis and HCI experimentation. In A. Trapp & N. Hammond (Eds.), Computers in Psychology '94, 62-63. York (UK): CTI Centre for Psychology, U. of York. Reprinted in Psychology Software News, 5(2) (November 1994), Computers in Teaching Initiative Centre for Psychology, U. of York. pp. 57-58. Superceeded by Ritter & Wood, 2002.
Ritter, F. E. (1993) Using a cognitive architecture to add to protocol theory. Abstract included in the Proceedings of the III European Congress of Psychology, Tampare, Finland, July 1993. Also presented as colloquia at Queen Mary and Westfield College (U. of London), and the U. of Regensberg, Germany, July, 1993.
Davis, L. W., & Ritter, F. (1987). Schedule optimization with probabilistic search. Proceedings of the Third Conference on Artificial Intelligence Applications. IEEE Computer Society. 231-236.
Book and encyclopedia chapters
Ritter, F. E. (in press). Foreword. In Kotseruba, I., & Tsotsos, J. K. (in press). The computational evolution of cognitive architectures. Oxford, UK: Oxford University Press.
Ritter, F. E., & Stager, S. J. (2024). Semester projects on human-computer interaction as service and outreach, undergraduate and graduate. In J. M. Carroll (Ed.), Innovative practices in teaching information sciences and technology: Further experience reports and reflections (pp. 169-181). Cham, Switzerland: Springer Nature Switzerland.Schwartz, D. M., & Ritter, F. E. (2021). The frame problem. Philip L. Frana and Michael Klein (eds.). Encyclopedia of Artificial Intelligence—The Past, Present, and Future of AI, 155-156. Santa Barbara, CA: ABC-CLIO.
Ritter, F. E. (2021). Allen Newell. Philip L. Frana and Michael Klein (eds.). Encyclopedia of Artificial Intelligence—The Past, Present, and Future of AI, 248-250. Santa Barbara, CA: ABC-CLIO.
Ritter, F. E. (2019). Modeling human cognitive behavior for system design. In S. Scataglini and G. Paul (Eds.), DHM and posturography. (pp. 517-525, Ch. 37). London: Academic Press.
Ritter, F. E. (2019). Foreword. In: Thagard, P. (2019). Brain-mind. ix-xi. New York, NY: Oxford University Press.
Ritter, F. E. (2019). Foreword. In: Thagard, P. (2019). Mind-society. ix-xi. New York, NY: Oxford University Press.
Ritter, F. E. (2019). Foreword. In: Thagard, P. (2019). Natural philosophy. ix-xi. New York, NY: Oxford University Press.
Ritter, F. E. (2017). Foreword. In: Tani, J. (2017). Exploring robotic minds: Actions, symbols, and consciousness as self-organizing dynamic phenomena. ix-xi. New York, NY: Oxford University Press.
Ritter, F. E. (2014). Semester projects on human-computer interaction as service and outreach. In J. M. Carroll (Ed.), Innovative practices in teaching information sciences (pp. 133-142). London: Springer.
Ritter, F. E. (2014). Foreword. In Conte, R., Andrighetto, G., & Campennì, M. (Eds.). Minding norms: Mechanisms and dynamics of social order in agent societies. New York, NY: Oxford University Press. ix-x. New York, NY: Oxford University Press.
Ritter, F. E., Baxter, G., Kim, J. W., Srinivasmurthy, S. (2013). Learning and retention. In John D. Lee and Alex Kirlik (eds.). The Oxford Handbook of Cognitive Engineering (pp. 125-142). New York, NY: Oxford.
Fang, Q., Liu, P., Yen, J., H., M. J., Shemanski, D. R., & Ritter, F. (2011). Analyzing intelligence on WMD attacks using threaded event-based simulation. In Critical Infrastructure Protection V: 5th IFIP WG 11.10 International Conference on Critical Infrastructure Protection, ICCIP 2011 Hanover, NH, USA, March 23-25, 2011 Revised Selected Papers, 201-216. Springer: Heidelberg, Germany.
Ritter, F. E., Schoelles, M. J., Quigley, K. S., & Klein, L. C. (2011). Determining the number of model runs: Treating cognitive models as theories by not sampling their behavior. In S. Narayanan & L. Rothrock (Eds.), Human-in-the-loop simulations: Methods and practice (pp. 97-116). London: Springer-Verlag.
Ritter, F. E. (2009). Foreword. In Bach, J. (2009). Principles of synthetic intelligence: Building blocks for an architecture of motivated cogntion. v-vi. New York, NY: Oxford University Press.
Ritter, F. E., & Nerb, J. (2007). Call to order: How sequence effects in humans and artificial systems illuminate each other. In F. E. Ritter, J. Nerb, T. O'Shea, & E. Lehtinen (Eds.), In order to learn: How the sequences of topics affect learning. 3-15. Oxford University Press.
Ritter, F. E., Nerb, J., & Lehtinen, E. (2007). Getting things in order: Collecting and analysing data on learning. In F. E. Ritter, J. Nerb, T. O'Shea, & E. Lehtinen (Eds.), In order to learn: How the sequence of topics influence learning. 81-92. Oxford University Press, New York, New York.
Nerb, J., Ritter, F. E., & Langley, P. (2007). Rules of order: Process models of human learning. In F. E. Ritter, J. Nerb, T. O'Shea, & E. Lehtinen (Eds.), In order to learn: How the sequences of topics affect learning. 57-69. Oxford University Press.
Ritter, F. E. (2007). The rise of cognitive architectures. [Editor's note for the first book in the Oxford Series on Cognitive Models and Architectures.] Integrated Models of Cognitive Systems (IMoCS), Wayne Gray (ed.). v-vi. New York, NY: Oxford University Press.
Ritter, F. E., Reifers, A. L., Klein, L. C., & Schoelles, M. (2007). Lessons from defining theories of stress for cognitive architectures. Integrated models of cognitive systems (IMoCS), Wayne Gray (ed.). 254-262. New York, NY: Oxford University Press.
Ritter, F. E., & Norling, E. (2006). Including human variability in a cognitive architecture to improve team simulation. In Cognition and multi-agent interaction: From cognitive modeling to social simulation (pp. 417-427). Cambridge, UK: Cambridge University Press.
Kase, S. E, & Ritter, F. E. (2004). The gender factor in computer anxiety: Perspectives in IT. Encylopedia of Information Science and Technology.
Jones, G. & Ritter, F. E. (2003). Production systems and rule-based inference. In Encyclopedia of Cognitive Science. 741-747. London: Macmillan.
Ritter, F. E. (2003). Soar. In Encyclopedia of Cognitive Science. London: Macmillan. [password protected ala the Soar archive.]
Ritter, F. E., & Schooler, L. J. (2001). The learning curve. In International encyclopedia of the social and behavioral sciences. 8602-8605. Amsterdam: Pergamon. www.iesbs.com/
Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2001). User interface evaluation: How cognitive models can help. In J. Carroll (Ed.), Human-computer interaction in the new millennium. 125-147. Reading, MA: Addison-Wesley. Also see Ritter, Baxter, Jones, and Young, 2000.
Ritter, F. E., Jones, R. M., & Baxter, G. D. (1998). Reusable models and graphical interfaces: Realising the potential of a unified theory of cognition. In U. Schmid, J. Krems, & F. Wysotzki (Eds.), Mind modeling - A cognitive science approach to reasoning, learning and discovery. 83-109. Lengerich (Germany): Pabst Scientific Publishing.
Feurzeig, W., & Ritter, F. (1988). Understanding reflective problem solving. Psotka, J., Massey, L. D., & Mutter, S. A. (Eds.), Intelligent tutoring systems: Lessons learned. Hillsdale, NJ, Lawrence Erlbaum Associates.
Reviews and reports (published)
MacDougal, K. & Ritter, F. E. (2018). Generative models as a third paradigm for decision making: A response to Markman. Journal of Applied Research in Memory and Cognition. 7. 26–28.
Ritter, F. E., & Reitter, D. (2016). Introduction to ICCM 2016. In Proceedings of ICCM, 14th International Conference on Cognitive Modeling (ICCM 2016). ix. University Park, PA: Penn State.
Baxter, G., Churchill, E. F., & Ritter, F. E. (2014). Addressing the fundamental error of design using the ABCS. AIS SIGHCI Newsletter, 13(1), 9-10.
Stevenson, W., & Ritter, F. (2006). Review of "BBN's earliest days: founding a culture of engineering creativity Beranek L. from IEEE Annals of the History of Computing 27(2): 6-14, 2005." ACM Computing Reviews, 48(4). 227. #:CR132842
Inguscio, L., & Ritter, F. E. (May 2005). Applied Cognitive Science Laboratory at the Pennsylvannia State University (Laboratory Notes). Cognitive Processing: International Quarterly of Cognitive Science. 6(2). 142-146. [page proofs]
Ritter, F. E., Morgan, G. P., Stevenson, W. E., & Cohen, M. A. (2005). A tutorial on Herbal: A high-level language and development environment based on Protégé for developing cognitive models in Soar. In L. Allender & T. Kelley (Eds.), Proceedings of the 14th Conference on Behavior Representation in Modeling and Simulation. Orlando, FL: U. of Central Florida.
Daughtry, J. M., & Ritter, F. E. (2005). Understanding the behaviour of agents and cognitive models: CaDaDis 2.1. AI and the Simulation of Behaviour Quarterly. 119. 4
Baxter, G. D., & Ritter, F. E. (2002). A review of "A multidisciplinary approach to human-maching systems development: Cognitive Engineering in the Aviation Domain" edited by Nadine B. Sarter and Rene Amalberti. Contemporary Psychology: APA Review of Books, 47(4), 362-364. (invited) [DRAFT]
Ritter, F. E., & Councill, I. G. (2002). A review of the 22nd Soar Workshop. AI Magazine. 23(3[Fall]), 107-109.
Mudgett, D. R., Freed, A. R., & Ritter, F. E. (2002). Web-based resources for teaching discrete mathematics to students of information sciences and technology. IEEE Learning Technology, 4(3). 9-10. lttf.ieee.org/learn_tech/issues/july2002/index.html#3
Ritter, F. E. (2001). Review of the Third International Conference on Cognitive Modelling. Cognitive Systems Research, 1(4), 251-252. [pdf version]
Ritter, F. E., Baxter, G. D., Jones, G., & Young, R. M. (2000). Summary of 'Supporting cognitive models as users'. research alerts [sic] in interactions [sic], VII.6, 16-17. See Ritter, Baxter, Jones, & Young, 2000 for details.
Ritter, F. E. (2000). Review of the Third International Cognitive Modelling Conference. AI and Simulation of Behaviour Quarterly. 104. p. 8 (shorter version of the Ritter 2001 review above)
Young, R. M., & Ritter, F. E. (1999). Report on the Second European Conference on Cognitive Modelling. AI and Simulation of Behaviour Quarterly, 101, 10-11.
Ritter, F. E., & Young, R. M. (1999). Report on the AISB'99 Workshop on "Issues in Teaching Cognitive Science to Undergraduates". AI and Simulation of Behaviour Quarterly, 102, 7-8.
Ritter, F. (1997). WWW presentation of overheads & exercises. CTI Psychology Software News. 7(2). 46.
Ritter, F. E., Jones, G., & Young, R. M. (1997). Report on Tutorial: Introduction to the Soar cognitive architecture. AI and Simulation of Behaviour Quarterly, 98, 50. (reprint of Ritter, Jones & Young, 1996).
Ritter, F. E., Jones, G., & Young, R. M. (1996). Report on Tutorial 1: Introduction to the Soar cognitive architecture. AI and Simulation of Behaviour Quarterly, 95, 18.
Arnold, M., Kuk, G., & Ritter, F. E. (1995). MacSHAPA review. CTI Psychology Software News, 6(1). 18-20.
Ritter, F. E., & Young, R. M. (1994). Practical introduction to the Soar cognitive architecture: Tutorial report. AI and Simulation of Behaviour Quarterly, 88, 62. (see 1997 review)
Ritter, F. E. (1987). Symbolics product review. Technology and Learning, 1(2). Invited product review mispublished as a letter to the editor.
Selected technical reports and videos
Ritter, F., Stager, S., Tehranchi, F., Bagherzadeh, A., Pokorny, B., Sadwick, L., Flade, L. (2024). GOAT: Grid Operator Assessment and Training (1:56 video). (206 Mb)
Ritter, F. E., Freed, A. R., & Haskett, O. L. (2002). Discovering user information needs: The case of university department websites (Tech. Report No. 2002-3). Applied Cognitive Science Lab, School of Information Sciences and Technology, Penn State. acs.ist.psu.edu/acs-lab/reports/ritterFH02.pdf
Ritter, F. E., & Wood, A. B. (2002). Dismal: A spreadsheet for sequential data analysis and HCI experimentation (Tech. Report No. 2002-1). Applied Cognitive Science Lab, School of Information Sciences and Technology, Penn State. http://acs.ist.psu.edu/acs-lab/reports/ritterW02.pdf
Ritter, F. E., & Avraamides, M. (2001). Improving interfaces for CGFs through multidisciplinary evaluations: A new, broad approach (Tech. Report No. 2001-1). Applied Cognitive Science Lab, School of Information Sciences and Technology, Penn State.
Ritter, F. E., & Avraamides, M. N. (2000). Steps towards including behavioural moderators in human performance models in synthetic environments (Tech. Report No. 2000-1). Applied Cognitive Science Lab, School of Information Sciences and Technology, Penn State.
Ritter, F. E., Shadbolt, N. R., Elliman, D., Young, R., Gobet, F., & Baxter, G. D. (1999). Techniques for modelling human performance in synthetic environments: A supplementary review (Tech. Report No. 62). ESRC CREDIT, Dept. of Psychology, U. of Nottingham.
Ritter, F. E., & Bibby, P. (1997). Modelling learning as it happens in a diagramatic reasoning task (Tech. Report No. 45). ESRC CREDIT, Dept. of Psychology, U. of Nottingham.
Baxter, G. D., & Ritter, F. E. (1996). Designing abstract visual perceptual and motor action capabilities for use by cognitive models (Tech. Report No. 36). ESRC CREDIT, Psychology, U. of Nottingham.
Frank E. Ritter & Gordon D. Baxter (1996). Programming by Tenet Systems. The Nottingham Interaction Architecture as Realised in SLGMS. WP/R3BAIA005/017
Lehman, J., Newell, P., Altmann, E., Ritter, F., McGinnis, T. (1994). The Soar introduction video (11 min.). The Soar Group, School of Computer Science, Carnegie-Mellon University.
Ritter, F. E. (ed.) (1993). Proceedings of the EuroSoar 7 Workshop, U. of Nottingham, November 1993.
Ritter, F. E. (1992). Unified Theories of Cognition: One and one-quarter years later (Tech. Rep.) CMU-CS-92-007.2. School of Computer Science, Carnegie-Mellon University.
Ritter, F. E. (1992). TBPA: A methodology and software environment for testing process models' sequential predictions with protocols. Doctoral dissertation, Carnegie-Mellon University. Also available as School of Computer Science tech report CMU-CS-93-101.
Feurzeig, W., Massey, D., Downes-Martin, S., & Ritter, F. (1985). TRIO to INCOFT Adaptation Study (Tech. Rep.) 6194. BBN Laboratories.
Ritter, F. E. (1991). How the Soar interface uses Garnet. Video (2 min.) shown at the Garnet user interface development environment special interest subgroup meeting at the 1991 Human Factors in Computing Systems Conference (CHI'91).
Ritter, F. E. (April, 1991). The Developmental Soar Interface.
Video (27 min.) presented to the CMU Soar Research Group.
Part1 as 64M mpg file Part2
as 97M mpg file
[the quality from the 10 year old tape is not good, and the
conversion process is not great, but at small screen sizes, you can
get a feel for what the software was like.]
Ritter, F. (1987). OREO: Orienting electrical circuits for qualitative reasoning, (Tech. Rep.) #6560. BBN Laboratories. [abstract]
Selected manuals and published software
Kalus, T., & Ritter, F. E. (2003). The Soar Tutorial, Presented at the Fifth International Conference on Cognitive Modeling, Bamberg, Germany, 9 April 2003. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 318. Bamberg, Germany: Universitats-Verlag Bamberg.
Ritter, F. E. & Shiskowski, N. (2002). The ACT-R FAQ, acs.ist.psu.edu/act-r-faq
Baxter, G. D., & Ritter, F. E. (1995/2001). The Soar FAQ, acs.ist.psu.edu/soar-faq. Updated quarterly and stored at the U. of Nottingham Mirror Soar site mirror of US sites. Awarded a "Key Resource Award" viewable at <http://www.links2go.com/award/Soar>.
Ritter, F. E. & Young, R. M. (1994, last revision 3/98). Psychological Soar Tutorial. Computer programs and overheads. Developed with Gary Jones. Currently available at acs.ist.psu.edu/nottingham/pst/pst-ftp.html.
Ritter, F. E., & Ong, R. (Sept, 1994). The simple-menu package. Release 1.2. Available from The Ohio State University elisp archives on archive.cis.ohio-state.edu as file /pub/gnu/emacs/elisp-archive/interfaces/simple-menu.el.Z (last checked 1/97), and other archives.
Ritter, F. E. (1992). Multiple forms-mode. Available from The Ohio State University elisp archives on archive.cis.ohio-state.edu as file pub/gnu/emacs/elisp-archive/modes/multi-forms-mode.1.4.tar.Z.
Ritter, F. E. (1991). TAQL-mode Manual. The Soar Project, School of Computer Science, Carnegie-Mellon University.
Ritter, F. E., Hucka, M., & McGinnis, T. F. (1992). Soar-mode Manual. (Tech. Rep.) CMU-CS-92-205. School of Computer Science, Carnegie-Mellon University.
Bates, D., Kademan, E., & Ritter, F. E. (Fall 1990, last revised with my help Fall 1991). S-mode for GNU Emacs. Available from the Statlib software archive (S is a statistics package, Statlib is statlib@lib.stat.cmu.edu). Now part of the ESS package.
Ritter, F. E. (September, 1990). "Batmail -- Reading mail in an editor", "Notes on software available and used in the CMU Psychology department", and "Some notes on learning more about GNU-Emacs". Manuals and talks presented at the CMU Psychology Department Immigration Course.
Panagos, J., Feurzeig, W., & Ritter, F. (1987). TRIO System Documentation (Tech. Rep.) 6547. BBN Laboratories.
Invited talks (selected)
Ritter, F. E. (2018). Some futures for cognitive modeling and architectures: Approaches that you can too. Plenary talk. Behavior Representation in Modeling and Simulation Conference.
Ritter, F. E. (2016). An overview of cognitive modeling. First International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures (FIERCES on BICA).
Ritter, F. E. (2012). Using behavior representation models in risk-driven design. Plenary talk. Behavior Representation in Modeling and Simulation Conference.
Ritter, F. E. (2011). Diversions and Resources, Tri-service Cognitive Modeling Challenge Project meeting, keynote presentation, Aberdeen Proving Ground, 5 December 2011.
Ritter, F. E., Dancy, C., & Berry, K. (2011). The case for including physiology in cognitive modeling. In Biologically Inspired Cognitive Architectures, 303. IOS Press: Amsterdam.
Ritter, F. E., & Young, R. M. (1997). Invited lectures and practicals on Soar, German Autumn School in Cognitive Science, 18-22 September, 1997. (See Psychological Soar Tutorial for materials.)
Selected seminars, presentations, posters, and workshop papers
Wang, S. N., & Ritter, F. E. (2023). Modeling a strategy with learning in a complex task. In Proceedings of 21st International Conference on Cognitive Modeling (ICCM). 277-278.
Wang, S. N., & Ritter, F. E. (2023). Exploring errors towards a more realistic strategy model. In Proceedings of 21st International Conference on Cognitive Modeling (ICCM). 275-276.
Tehranchi, F., & Ritter, F. E. (2019). Extending JSegMan to interact with a biased coin task and a spreadsheet task.. In Proceedings of the 17th International Conference on Cognitive Modeling. (ICCM 2019). 259-260. [Outstanding poster award.]
Ritter, F. E., Tehranchi, F., Brener, M., & Wang, S. (2019). Testing a complex training task.In Proceedings of the 17th International Conference on Cognitive Modeling. (ICCM 2019). 184-185.
Doozandeh, P., & Ritter, F. E. (2019). Does simulation fidelity affect training? A lesson from a brief review of literature. In Robert Thomson, Halil Bisgin, Christopher Dancy, Ayaz Hyder (eds.). SBP-BRiMS: International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation. Paper 50. 9 pages. [poster]
Oury, J. D., Tehranchi, F., & Ritter, F. E. (2018). Predicting learning and retention of a complex task. In Proceedings of the 16th International Conference on Cognitive Modeling (ICCM 2018). 90-95.
Ritter, F. E., Bouyat, C., Ekdahl, K., & Guzek, D. (2016). An update on automatic transcription vs. manual transcription. In Proceedings of ICCM, 14th International Conference on Cognitive Modeling (ICCM 2016). 268-269. University Park, PA: Penn State.
Tehranchi, F., & Ritter, F. E. (2016). Connecting cognitive models to interact with human-computer interfaces. In Proceedings of ICCM, 14th International Conference on Cognitive Modeling (ICCM 2016). 266-267. University Park, PA: Penn State.
Dancy, C. L., & Ritter, F. E. (2015). BICA and sex differences: We need to understand potential sex differences when developing computational models of human behavior. Procedia Computer Science, Vol. 71, 2015, pp. 131–132. Proceedings of the 2015 Annual International Conference on Biologically Inspired Cognitive Architectures.
S124 Ritter, F. E., & Baxter, G. D. (2015). Reflections on Risk-Driven Design and Instruction. HCI Consortium Workshop, July 2015, Pajaro Dunes, CA.
W69 Ritter, F. E. (2014). A satisfying way to teach HCI: Outreach through usability reports. In CHI 2014 Workshop, Developing a Living Curriculum to Support Global HCI Education. [online proceedings]
S103 Ritter, F. E., & Kim, J. (2012). Practical advice on how to run human behavioral studies. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society. 28-29. Austin, TX: Cognitive Science Society.
S100 Ritter, F. E., Morgan, J. H., & Kim, J. W. (2012). Practical aspects of running experiments with human participants. [tutorial] In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation. BRIMS Society: Amelia Island, FL. 12-BRIMS-046. 234-240.
W66 Hobbs, J. N., Ritter, F. E., & Morgan, J. H. (2012). D2P/CLS: A Tutor for Combat Lifesavers. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation. 12-BRIMS-043. 226-227. BRIMS Society: Amelia Island, FL.
W63 Morita, J., Miwa, K., Kojima, K., & Ritter, F. E. (2011). Modeling decision making on the use of automatation. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 1971-1976. Cognitive Science Society: Austin, TX. [Poster]
Ritter, F. E. (2011). Risk-driven design. HCI Consortium Workshop, June 2011, Monterey, CA. [pdf] [prezi @prezi] [prezi locally]
Park, S-H., Suh, I. H., Chien, J-H., Paik, J-H., Ritter, F. E., Oleynikov, D., Siu, K-C. (2011). Modeling surgical skill learning with cognitive simulation. In J.D. Westwood et al. (Eds.) Medicine meets virtual reality 18. IOS Press. 428-432.
Paik, J., Kim, J. W., Ritter, F. E., Morgan, J. H., Haynes, S. R., & Cohen, M. A. (2010). Building large learning models with Herbal. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of ICCM - 2010- Tenth International Conference on Cognitive Modeling (pp. 187-191).
Ritter, F. E. (2009). Tutorial on: Human-system integration in the system development process: A new look. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling. Manchester, England. [Tutorial Slides]
Friedrich, M. B., & Frank E. Ritter, F. E. (2009). Reimplementing a diagrammatic reasoning model in Herbal. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling. 438-439. Manchester, England.
Paik, J., Kim, J. W., & Ritter, F. E. (2009). A preliminary ACT-R compiler in Herbal. In Proceedings of ICCM - 2009- Ninth International Conference on Cognitive Modeling. 466-467. Manchester, England.
Christou, G., Ritter, F. E. & Jacob, R. J. K. (2009). Knowledge-based usability evaluation for reality-based interaction. Georgios Christou, Effie Lai-Chong Law, William Green, & Kasper Hornbaek (eds.) Challenges in the evaluation of usability and user experience in reality-based interaction (workshop proceedings). 36-39. IRIT Press, Toulouse, France. At CHI 2009 Conference on Human Factors in Computing Systems, Boston, MA, 2009.
Ritter, F. E. (2008). High-level behavior representation languages and moderators of behavior. The USMA Network Science Workshop, 15-17 October, 2008, West Point, NY.
Kim, J., & Ritter, F. E. (2007). Automatically recording keystrokes in public clusters with RUI: Issues and sample answers. In Proceedings of the 29th Annual Conference of the Cognitive Science Society, 1787. Austin, TX: Cognitive Science Society.
Girouard, A., Smith, N. W., &, Ritter, F. E. (2006). Lessons from decompiling an embodied cognitive model. Cognitio 2006 Workshop. [Local copy]
Reifers, A. L., Schenck, I. N., & Ritter, F. E. (2005). Modeling pre-attentive visual search in ACT-R. In Proceedings of the Cognitive Science Society. 2545. Mawah, NJ: Earlbaum.
Inguscio, L., Marucci, F. S., & Ritter, F. E. (2004). Il sistema di produzione ACT-R/PM: Un modello simulativo dei processi percettivo-morori. Congresso Nazionale della Sezione di Psicologia Sperimentale. www.unipa.it/frapax/documenti/in_o_06_inguscio.pdf [abstract, in Italian] local copy
Haynes, S. R., Councill, I. G., & Ritter, F. E. (2004). Responsibility-driven explanation engineering for cognitive models. In AAAI Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems. 46-52. Menlo Park, CA: AAAI Press.
Cohen, M. A., Ritter, F. E., & Haynes, S. (2004). An introduction to Herbal. In Proceedings of the XXIV Workshop. 75-77. The Soar Group, University of Michigan.
Sun, S., Councill, I., Fan, X., Ritter, F. E., & Yen, J. (2004). Comparing teamwork modeling in an empirical approach. In Proceedings of the Sixth International Conference on Cognitive Modeling. 388-389. Mahwah, NJ: Lawrence Erlbaum.
Ritter, F. E. (2003). Comments on Grant and Roberts & Pashler, social processes in validation, part of a Symposium on Model fitting and parameter estimation, notes included in the Proceedings of the ACT-R Workshop. 129-130.
Ritter, F. E., Avraamides, M. N., Councill, I., van Rooy, D., Quigley, K. S., Klein, L. C., McNeese, M. D., Stine, M. M., & Rodrigues, I. M. (2002). Pre-task appraisal and caffeine: An architectural overlay for ACT-R. In Air Force Workshop on ACT-R Models of Human-System Interaction, Mesa, AZ, January 2002.
Ritter, F. E., & Avraamides, M. (2001). Testing the Situation Awareness Panel. In Proceedings of the 21th Soar Workshop. 35-39.
Ritter, F. E. (2001). Preliminary Example Applications of Cognitive Models to Telephone Design. Talk presented at the Navy Research Lab.
Ritter, F. E. (2000). Cognitive modeling. DARPA Human Robotics Interface Workshop. 29-30 November, Arlington, VA.
Jones, G., & Ritter, F. E. (2000). Over-estimating cognition time: The benefits of using a task simulation. In Simulating Human Agents, American Association for Artificial Intelligence Fall 2000 Symposium Series. 67-74. Menlo Park, CA: AAAI Press.
Belavkin, R., & Ritter, F. E. (2000). Adding a theory of motivation to ACT-R, slides included in the Proceedings of the Seventh Annual ACT-R Workshop, p. 133-139. Department of Psychology, Carnegie-Mellon University.
Ritter, F. E. (2000). A role for cognitive architectures: Guiding user interface design, contribution to the Applications of Cognitive Architectures panel, slides included in the Proceedings of the Seventh Annual ACT-R Workshop, p. 85-91. Department of Psychology, Carnegie-Mellon University.
Ritter, F. E. (2000). An example HCI task, interfaces, model, and verification for Single subjects design. ACT-R Summer School presentation.
Ritter, F. E. (2000). The Soar FAQ and DERA Report. In Proceedings of the 20th Soar Workshop. 127.
Ritter, F. E. (2000). SOAR/Tcl-PM: Including a widely applicable eye and hand in Soar. In Proceedings of the 20th Soar Workshop.
Ritter, F. E., & Bibby, P. A. (2000). Modeling how and when learning happens in a diagrammatic reasoning task. Talk presented at the Fifth Conference of the Australasian Cognitive Science Society. And at the U. of Melbourne, Feb 2000.
Ritter, F. E., & Lonsdale, P. R. (2000) Extending Tcl/Tk to provide a functional eye and hand for the Soar cognitive architecture. Talk presented at the Fifth Conference of the Australasian Cognitive Science Society.
Belavkin, R. V., Ritter, F. E., & Elliman, D. G. (1999). Towards including simple emotions in a cognitive architecture in order to fit children's behaviour better. In Proceedings of the 1999 Conference of the Cognitive Science Society. 784. Mahwah, NJ: Lawrence Erlbaum.
Ritter, F. E., Belavkin, R. V., & Elliman, D. G. (1999). Towards including simple emotions in a cognitive architecture in order to fit behaviour better. Poster at the BCS's "Workshop on Affective Computing: The role of emotion in Human Computer Interaction."
Ritter, F. E., & Young, R. M. (1999). Moving the Psychological Soar Tutorial to HTML: An example of using the Web to assist learning. In D. Peterson, R. J. Stevenson, & R. M. Young (Eds.), Proceedings of the AISB '99 Workshop on Issues in Teaching Cognitive Science to Undergraduates. 23-24. The Society of the study of Artificial Intelligence and Simulation of Behaviour.
Ritter, F. E. (1998). The nature of improvement: The power law, feeling of knowing, and strategies. Psychologie, Technische Universitåt Chemnitz. Dec 2
Ritter, F. E., & Wallach, D. P. (1998). Models of two-person games in ACT-R and Soar. In Proceedings of the Second European Conference on Cognitive Modelling. 202-203. Thrumpton: Nottingham University Press.
Ritter, F. E. (1998). Extending user interface management systems to support cognitive models as users. Informatik [Computer Science], Technische Universitåt Chemnitz. Dec 2(2/1999). Dept. of Computer and Information Science, The Ohio State University. School of Information Science and Technology, Pennsylvania State University. Dept. of EECS, U. of Illinois at Chicago. ESRC Centre for Research in Development, Instruction, and Training, U. of Nottingham 6/99. George Mason University 12/99, D.S.T.O. (Australia) 2/00, Swinburne Inst. of Technology. 2/00 IPO, Technical University of Eindhoven. 3/00 Computer Science, Penn State.
Ritter, F. E. (1998). Discussant, Panel on procedural vs. declarative memory, Fifth Annual ACT-R Workshop, Carnegie-Mellon University.
Ritter, F. E., Jones, G., Baxter, G. D., & Young, R. M. (1998). Lessons from using models of attention and interaction. In 5th ACT-R Workshop. 117-123. Psychology Department, Carnegie-Mellon University.
Ritter, F. E. (1997). An approach for routinely including interaction in cognitive architectures. Psychology, U. of Saarland, Germany, 18 December 1997.
Ritter, F. E. (October, 1997). Overview of methodologies for studying order effects. Plenary meeting, European Science Foundation's Programme on Learning in Humans and Machines. Mannheim, Germany.
Ritter, F. E., & Baxter, G. D. (November, 1996). Cognitive modelling in a more visibly principled way. Cognitive Science Seminar (Prof. Spada's group), U. of Freiburg, Germany.
Ritter, F. E., Baxter, G. D. & Jones, G. (November, 1996). U. of Nottingham update. Proceedings of EuroSoar-10. p. 3.
Ritter, F. E., & Baxter, G. D. (May, 1996). An engineering approach to user interface design based on extending a cognitive architecture. Cognitive Science Research Seminar, School of Computer Science, U. of Birmingham.
Ritter, F. E. (1995). What cognitive architectures can provide HCI. Colloquium presented at Ergonomics Unit, University College/London. October 1995.
Ritter, F. E. (1995). The Nottingham Cognitive Modeling Environment. Talk presented at the North American Soar XIV workshop and at the EuroSoar7 workshop; and at the Language and Cognition seminar series in Psychology, U. of Nottingham, November, 1995.
Ritter, F. E. (1994). Using process models as summaries of HCI data, colloquium presented at the Department of Psychology, U. of YorkFeb, LRDC (U. of Pittsburgh), March and Armstrong Lab, Brooks AFB. March
Ritter, F. E., Bibby, P., Marshall, S. S., & Lochun, S. K. (1994). Matching the predictions of a model that learns, paper presented at the Soar XIII workshop at THE Ohio State University. Also presented as invited talks at the U. of Freiburg, March, 1995, and at the U. of Nagoya, July, 1995.
Ritter, F. E., Nerb, J., & Kindsmüller, M. (1994). Steps towards a series of models for a developmental task. Overheads included in the Proceedings of the EuroSoar 8 Workshop. 95-99. Graduate School of Experimental Psychology, U. of Leiden. Talk also given to credit, nov 94
Ong, R. L., & Ritter, F. E. (1994). Mechanisms for routinely tying cognitive models to interactive simulations. Overheads included in the Proceedings of the EuroSoar 8 Workshop. 71-87. Graduate School of Experimental Psychology, U. of Leiden. Also presented as an invited seminar at the Technical University of Berlin, March, 1995.
Ritter, F. E. (1993). Learning mechanisms in Soar. Talk presented to the Credit group, U. of Nottingham.
Ritter, F. E. (1993). Teaching real-time problem solving, CREDIT seminar.
Ritter, F. E. (1993). Discussant, Symposium on General Architectures of Cognition, held at the Sixth Conference of the European Society for Cognitive Psychology.
Ritter, F. E. (1993). Learning mechanisms in Soar. Talk presented to the Credit group, U. of Nottingham.
Krems, J., Nerb, J., & Ritter, F. (1993). Sched-Soar: Learning how to solve scheduling tasks, paper presented by J. Krems at the Soar Workshop 12, slides included in the proceedings.
Ritter, F. E. (May, 1992). Theoretically guided semi-automatic routine protocol analysis. Talk presented at the CHI '92 Doctoral Consortium. Abstract included in the proceedings. This talk was also presented as colloquium at the U. of York, the U. of Nottingham, and Queen Mary and Westfield College in April 1992.
Ritter, F. E. (October, 1992). Soar/PA. Demo/discussion presented at the Mind Matters symposium held in honor of Allen Newell at CMU.
Ritter, F. E. (October, 1992). Routinely testing Soar models with protocols. Talk presented at the Soar XI workshop. Overheads included in the workshop proceedings.
Ritter, F. E. (February, 1992). "Protocol analysis with Soar". Paper presented at the Soar X Workshop held at The University of Michigan. Overheads included in the proceedings.
Ritter, F. E. (1990). "Mendel-DP: Optimizing PDP learning rates". Paper and talk presented at the Eighth Annual Pitt-CMU conference, June 1990, and to the CMU PDP seminar, June 1990.
Ritter, F. E. (May, 1989). "Modeling a Feeling of Knowing". Joint work with Lynne Reder and Allen Newell presented at the Soar VI workshop held at the University of Michigan.
Ritter, F. E. (September, 1988). "ITS and Modeling the Seibel Task in Soar". Invited presentation at the Air Force Human Resources Lab, Cognitive Skills Assessment Branch, Brooks AFB.
Reder, L. M., & Ritter, F. E. (1988). Feeling of Knowing and Strategy Selection for Solving Arithmetic Problems. Proceedings of the Thirty-First Annual Meeting of the Psychonomics Society. Psychonomic Society.
Ritter, F. E. (September, 1988). "Extending the Seibel-Soar Model". Presented at the Soar V Workshop held at CMU.
Ritter, F. E. (June, 1986). "A Random walk through AI". Presented as part of the BBN Laboratories Physical Sciences Division Seminar Series.
Ritter, F. E. (1985). "Simulated Annealing as a Function Minimization Technique" and "Simulated Annealing as a Planning Technique". Presented as seminars in a series on "Genetic and Other Probabilistic Algorithms" at BBN, and as a guest lectures to CS 113: Artificial Intelligence (graduate level course) at Brandeis University, October-November 1985.
Ritter, F. E. (November, 1986). "AI at Bolt, Beranek and Newman". Presented at the 8th Annual Conference of the AI Society of New England (AISNE) held at Yale University.
Ritter, F. E. (June, 1985). "TRIO Overview and Potentials". Presented to Major General Johnston, Director of Training, United States Army.
Unpublished occasional papers and other interesting documents (by year)
Ritter, F. E., & Donahue, D. (2022). What Faculty Members Must Know about COVID-19 Risks this Fall. ACADEME Blog, The blog of Academe magazine, https://academeblog.org/2022/09/02/what-faculty-members-must-know-about-covid-19-risks-this-fall/Ritter, F. E., & Donahue, D. (2021). What instructors need to know about COVID-19 risks. ACADEME Blog, The blog of Academe magazine, https://academeblog.org/2021/11/23/what-instructors-need-to-know-about-covid-19-risks/
Society for Disaster Medicine and Public Health Staff (Contact tracer, Donahue, and Ritter, writing as) (2021). Stories from a contact tracer: The unwelcome gift. Centre Daily Times, 4B. February 10, 2021.
Donahue, D. A., & Ritter, F. E. (2020). Vaccines are coming, but hospital systems in US at risk in meantime. Centre Daily Times. 4B. November 25, 2020.
Tehranchi, F. (2020). An eyes and hands model: Extending visual and motor modules for cognitive architectures. Unpublished PhD thesis, Computer Science and Engineering, Penn State University, University Park, PA. [copy available from author or from PSU Library Electronic Theses and Dissertations]
Kaulakis, R. (2020). Domain-specific languages as a method for representation and evolutionary search among global solution space of cognitively plausible algorithmic behaviors. Unpublished PhD thesis, College of IST, Penn State, University Park, PA.
Metaxas, L. R. (2018). Impacts of user sentiment on information recall, intrinsic motivation, and engagement in the context of intelligent tutoring systems. Unpublished MS thesis, College of IST, Penn State, University Park, PA.
Zhao, C. (2016). Understanding human spatial navigation behaviors: A cognitive modeling approach. Unpublished PhD, College of IST, Penn State, University Park, PA.
Ritter, F. E. (2015). How to write papers, the steps I expect in co-authors and students and intend to do myself.
Dancy, C. (2014). Why the change of heart? Understanding the interactions between physiology, affect, and cognition and their effects on decision-making. Unpublished PhD, Penn State, University Park, PA.
Dancy, C. L., & Kaulakis, R. (2013). Towards adding bottom-up homeostatic affect to ACT-R. In Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa, Canada. 316-321.
Tseng, J.-T. (2013). The effect of heterogeneous agents in socio-cognitive networks. Unpublished MS thesis, Computer Science and Engineering, Penn State University, University Park, PA.
Orendovici, R. (2011). Social network analysis and simulation of the development of adversarial networks. Unpublished MS thesis, Penn State.
Paik, J. (2011). A novel training paradigm for knowledge and skills acquisition: Hybrid schedules lead to better learning for some but not all tasks. Unpublished PhD thesis, Industrial Engineering, Penn State University, University Park, PA.
Georgeon, O. L., Morgan, J. H., Horgan, J., & Braddock, K. (2010). Process modeling for the study of non-state political violence. In Proceedings of the 19th Conference on Behavior Representation in Modeling and Simulation, 10-BRIMS-142. 240-247. BRIMS Society: Charleston, SC.
Stark, R. F. (2010). Aiding the user input to virtual training environments: Virtual role players with speech and gesture recognition. Unpublished MS thesis, Information Sciences and Technology, Penn State University, University Park, PA.
Cohen, M. A. (2008). A theory-based environment for creating reusable cognitive models. Unpublished PhD thesis.
Friedrich, M. B. (2008). Implementierung von schematischen Denkstrategien in einer höheren Programmiersprache: Erweitern und Testen der vorhandenen Resultate durch Erfassen von zusätzlichen Daten und das Erstellen von weiteren Strategien (Implementing diagrammatic reasoning strategies in a high level language: Extending and testing the existing model results by gathering additional data and creating additional strategies). Faculty of Information Systems and Applied Computer Science, University of Bamberg, Germany. [in English] [at Bamberg site] [code and data and stimuli archive]
Georgeon, O. (2008). Analysing traces of activity for modelling cognitive schemes of operators. AISB Quarterly, 127, 1-3.
Kase, S. E. (2008). Parallel genetic algorithm optimization of a cognitive model: Investigating group and individual performance on a math stressor task. Unpublished PhD thesis, College of IST, Penn State University, University Park, PA.
Kim, J. (2008). Procedural skills: From learning to forgetting. Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA.
Kukreja, U. (2004). Towards model-based evaluations of human-robot interfaces. Unpublished MS thesis, Department of Computer Science and Engineering, The Pennsylvania State University. Model code
Shakir, A. (2002). Assesment of models of human-decision making for air combat analysis. Unpublished. Abstract included here with permission. Email Shakir or Ritter for report.
Ed Butler's PhD thesis, A Dynamical Study of the Generalised Delta Rule. 2000. School. of Psychology, U. of Nottingham (Ritter was internal examiner).
Ritter, F. E., Reber, R., Ritter, S., Reber, P., Ritter, C., Reder, L. M., Ritter, J. M., Bodenhousen, U., & Etal, E. (1996). The effect of price on gustatory perception of fermented malt beverages. J. of Irreproducible Results, 41(3), 18-20.
Ritter, F. E.
The documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. (Notice borrowed from Dave Plaut via Randy O'Reilly).