KEVIN A. GLUCK
Senior Research Scientist | Institute for Human & Machine Cognition
Curriculum Vitae · Updated September 2026
Research Profile
Cognitive scientist with more than three decades of experience spanning basic and applied research, scientific leadership, and technology transition across government, industry, and academia. Research focuses on computational cognitive modeling; fatigue, stress, and human performance; learning, forgetting, and personalized training; robust decision making; model exploration, comparison, validation, and selection; interactive task learning and human-machine teaming; and computational phenotyping/compu-cognomics. Experienced in building multidisciplinary research teams, leading large science and technology portfolios, mentoring researchers, and translating cognitive science into operationally relevant capabilities.
Research areas
Professional Appointments
Primary and Leadership Appointments
Concurrent, Visiting, and Academic Appointments
Education
Honors and Awards
Sponsored Research
POSE: Phase 1: Toward an Open-Source Ecosystem for the ACT-R Computational Cognitive Architecture
Resilience to Optimize Performance (ROPER)
Assessing and Augmenting Performance in Extreme Environments (A2PEX)
Multimodal Optimization and Restoration Platform for Homeostatic Enhancement Under Sleep-restriction (MORPHEUS)
Program cancelled by DARPA three months after contract initiation.
Adaptive Security through Cognitive Exploitation for Defense (ASCEND)
Program terminated by IARPA at the conclusion of Phase 1.
Robust and Secure Machine Learning
Mission Planning and Debrief
Secure Bio-Inspired Computing for Autonomous Sensing
Symbiotic Human-Machine Teams: Social Cueing for Trust and Reliance
Generative Models of Fast and Frugal Trees
Adaptive Design Optimization for Model Comparison of the Spacing Effect
Developing an Autonomous Sensing Framework Using Cognitive-Neuromorphic Methods on a High-Performance Computing Platform
Robust Decision Making for Improved Mission Assurance
Enabling Architecture for Rapid Development of Situationally Aware Cognitive Models
Computational Explorations of the Cognitive Foundations for Heuristic Decision Making
Dynamic Interactions Between Arousal and Cognitive Processes
Computational Process Models of the Effects of Fatigue on Cognition
Orientation and Navigation in Virtual Environments
Cognitive Models and Agents for DMO and AOC Training
Modeling Fatigue with Computational Cognitive Architectures
The Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison
Modeling Visuospatial Working Memory and the UAV Operator
Analysis and Summary of Category Learning Process Data
Software Tool for Analysis of Attention Transition Probabilities in Eye Movements and Verbal Protocols
Patents and Technology Translation
Predictive Performance Optimizer
Scholarly Publications
Peer-Reviewed Journal Articles
1. Conti, F., Gluck, K. A., Stocco, A., & Wood, T. R. (2026). Bias-reduced Regression Analysis in Nutrition (BRAiN) Index: Self-reported diet and predicted cognitive function. Frontiers in Nutrition, 13:1830204. https://doi.org/10.3389/fnut.2026.1830204
2. Oermann, M. H., Krusmark, M. A., Kardong-Edgren, S., Gluck, K. A. & Jastrzembski, T. S., et al. (2022). Retention in spaced practice of CPR skills in nursing students. MEDSURG Nursing, 31(5), 285-295. https://doi.org/10.62116/msj.2022.31.5.285
3. Oermann, M. H., Krusmark, M. A., Kardong-Edgren, S., Jastrzembski, T. S., & Gluck, K. A. (2022). Personalized training schedules for retention and sustainment of cardiopulmonary resuscitation skills. Simulation in Healthcare, 17(1), e59-e67. https://doi.org/10.1097/SIH.0000000000000559
4. Lee, M. D., & Gluck, K. A. (2021). Modeling strategy switches in multi-attribute decision making. Computational Brain & Behavior, 4, 148-163. https://doi.org/10.1007/s42113-020-00092-w
5. Oermann, M. H., Krusmark, M. A., Kardong-Edgren, S., Jastrzembski, T. S., & Gluck, K. A. (2020). Training interval in cardiopulmonary resuscitation. PLoS ONE, 15(1). https://doi.org/10.1371/journal.pone.0226786
6. Hough, A., & Gluck, K. A. (2019). The understanding problem in cognitive science. Advances in Cognitive Systems, 8, 13-32.
7. Gluck, K. A. (2019). What does it mean for psychological modeling to be more robust? Computational Brain and Behavior, 2, 154-156. https://doi.org/10.1007/s42113-019-00065-8
8. Lee, M. D., Gluck, K. A., & Walsh, M. W. (2019). Understanding the complexity of simple decisions: Modeling multiple behaviors and switching strategies. Decision, 6(4), 335-368. https://doi.org/10.1037/dec0000105
9. Maass, S. C., Sense, F., Gluck, K. A., & van Rijn, H. (2019). Resuscitating resuscitation skills: Keeping bystanders active. Frontiers in Public Health, 7:177. https://doi.org/10.3389/fpubh.2019.00177.
10. Sense, F., Maass, S. C., Gluck, K. A., & van Rijn, H. (2019). Within-subject performance on a real-life, complex task and traditional lab experiments: Measures of word learning, Raven matrices, tapping, and CPR. Journal of Cognition, 2(1): 12, 1-10. https://doi.org/10.5334/joc.65.
11. Walsh, M. W., Gluck, K. A., Gunzelmann, G., Jastrzembski, T., & Krusmark, M. (2018). Evaluating the theoretical adequacy and applied potential of computational models of the spacing effect. Cognitive Science, 42(S3), 644-691. https://doi.org/10.1111/cogs.12602.
12. Walsh, M. W., Gluck, K. A., Gunzelmann, G., Jastrzembski, T., Krusmark, M., Myung, J. I., Pitt, M. A., & Zhou, R. (2018). Mechanisms underlying the spacing effect in learning: A comparison of three computational models. Journal of Experimental Psychology: General, 147(9), 1325-1348. https://doi.org/10.1037/xge0000416.
13. Laird, J. E., Gluck, K. A., Anderson, J. R., Forbus, K., Jenkins, O., Lebiere, C., Salvucci, D., Scheutz, M., Thomaz, A., Trafton, G., Wray, R., Mohan, S., & Kirk, J. (2017). Interactive task learning. IEEE Intelligent Systems, 32(4), 6-21, (invited).
14. Collins, M., Juvina, I., & Gluck, K. A. (2016). Cognitive model of trust dynamics predicts outcomes within and between two games of strategic interaction. Frontiers in Psychology, 7:49. https://doi.org/10.3389/fpsyg.2016.00049
15. Walsh, M. W., & Gluck, K. A. (2016). Verbalization of decision strategies in multiple-cue probabilistic inference. Journal of Behavioral Decision Making, 29(1), 78-91. https://doi.org/10.1002/bdm.1878
16. Veksler, V. D., Myers, C. W., & Gluck, K. A. (2015). Model flexibility analysis. Psychological Review, 122(4), 755-769. https://doi.org/10.1037/a0039657
17. Gunzelmann, G., Veksler, B. Z., Walsh, M. M., & Gluck, K. A. (2015). Understanding and predicting the cognitive effects of sleep loss through simulation. Translational Issues in Psychological Science, 1(1), 106-115. https://doi.org/10.1037/tps0000017
18. Walsh, M. W., & Gluck, K. A. (2015). Mechanisms for robust cognition. Cognitive Science, 39(6), 1131-1171. https://doi.org/10.1111/cogs.12192
19. Veksler, V. D., Gluck, K. A., Myers, C. W., Harris, J., & Mielke, T. (2014). Alleviating the curse of dimensionality: A psychologically-inspired approach. Biologically Inspired Cognitive Architectures, 10, 51-60. https://doi.org/10.1016/j.bica.2014.11.007
20. Veksler, V. D., Myers, C. W., & Gluck, K. A. (2014). SAwSu: An integrated model of associative and reinforcement learning. Cognitive Science, 38, 580-598. https://doi.org/10.1111/cogs.12103
21. Walsh, M. W., Einstein, E. H., & Gluck, K. A. (2013). A quantification of robustness. Journal of Applied Research in Memory and Cognition, 2, 137-148. https://doi.org/10.1016/j.jarmac.2013.07.002
22. Gunzelmann, G., Gluck, K. A., Moore, L. R., & Dinges, D. F. (2012). Diminished access to declarative knowledge with sleep deprivation. Cognitive Systems Research, 13(1), 1-11. https://doi.org/10.1016/j.cogsys.2010.09.001
23. Gunzelmann, G., Moore, L. R., Salvucci, D. D., & Gluck, K. A. (2011). Sleep loss and driver performance: Quantitative predictions with zero free parameters. Cognitive Systems Research, 12(2), 154-163. https://doi.org/10.1016/j.cogsys.2010.07.009
24. Gluck, K. A., Stanley, C. T., Moore, L. R., Reitter, D., & Halbrügge M. (2010). Exploration for understanding in cognitive modeling. Journal of Artificial General Intelligence, 2(2), 88-107. https://doi.org/10.2478/v10229-011-0011-7
25. Myers, C., Gluck, K. A., Gunzelmann, G., & Krusmark, M. (2010). Validating computational cognitive process models across multiple timescales. Journal of Artificial General Intelligence, 2(2), 108-127. https://doi.org/10.2478/v10229-011-0012-6
26. Gunzelmann, G., & Gluck, K. A. (2009). An integrative approach to understanding and predicting the consequences of fatigue on cognitive performance. Cognitive Technology, 14(1), 14-25.
27. Gunzelmann, G., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep deprivation and sustained attention performance: Integrating mathematical and cognitive modeling. Cognitive Science, 33(5), 880-910. https://doi.org/10.1111/j.1551-6709.2009.01032.x
28. Gunzelmann, G., Byrne, M. D., Gluck, K. A., & Moore, L. R. (2009). Using computational cognitive modeling to predict dual-task performance with sleep deprivation. Human Factors, 51(2), 251-260. https://doi.org/10.1177/0018720809334592
29. Gluck, K. A., Bello, P., & Busemeyer, J. (2008). Introduction to special issue on model comparison. Cognitive Science, 32(8), 1245-1247. https://doi.org/10.1080/03640210802473582
30. Lyon, D., Gunzelmann, G., & Gluck, K. A. (2008). A computational model of spatial visualization capacity. Cognitive Psychology, 57(2), 122-152. https://doi.org/10.1016/j.cogpsych.2007.12.003
31. Shute, V. J., Gawlick, L. A., & Gluck, K. A. (1998). The effects of practice and learner control on short- and long-term gain and efficiency. Human Factors, 40 (2), 296-310. https://doi.org/10.1518/001872098779480424
32. Shute, V. J., & Gluck, K. A. (1996). Individual differences in patterns of spontaneous on-line tool use. The Journal of the Learning Sciences, 5(4), 329-355. https://doi.org/10.1207/s15327809jls0504_2
Books
1. Gluck, K. A., & Laird, J. E. (Eds.). (2019). Interactive task learning: Humans, robots, and agents acquiring new tasks through natural interactions. Strüngmann Forum Report, vol. 26, J. Lupp, series ed. Cambridge, MA: MIT Press. Open Access: https://esforum.de/publications/sfr26_Interactive_Task_Learning.html
2. Gluck, K. A. & Pew, R. W. (Eds.). (2005). Modeling human behavior with integrated cognitive architectures: Comparison, evaluation, and validation. Mahwah, NJ: Lawrence Erlbaum Associates.
Book Chapters
1. Blaha, L., & Gluck, K. A. (2023). Model validation, comparison, and selection. In R. Sun (Ed.), The Cambridge Handbook of Computational Cognitive Sciences (Cambridge Handbooks in Psychology, pp. 1165-1200). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781108755610.042
2. Gluck, K. A., & King, J. M. (2022). Cognitive architectures for human factors in aviation and aerospace. In J. R. Keebler, E. H. Lazzara, K. A. Wilson, & E. L. Blickensderfer (Eds.), Human Factors in Aviation and Aerospace, 3rd Edition (pp. 279-307). Cambridge, MA: Academic Press.
3. Gluck, K. A., & Laird, J. E. (2019). Looking forward to interactive task learning. In K. A. Gluck & J. E. Laird (Eds.), Interactive task learning. (pp. 1-7). Strüngmann Forum Report, vol. 26, J. Lupp, series ed. Cambridge, MA: MIT Press.
4. Shah, J. A., Gluck, K. A., Belpaeme, T., Koedinger, K. R., Rohlfing, K. J., van der Maas, H. L. J., Van Eecke, P., VanLehn, K., Vollmer, A., Yee-King, M. (2019). Task instruction. In K. A. Gluck & J. E. Laird (Eds.), Interactive task learning. (pp. 169-191). Strüngmann Forum Report, vol. 26, J. Lupp, series ed. Cambridge, MA: MIT Press.
5. Gluck, K. A., Jastrzembski, T., & Krusmark, K. (2019). Prospective comments on performance prediction for aviation psychology. In M. A. Vidulich & P. S. Tsang (Eds.), Improving aviation through applying engineering psychology: Advances in aviation psychology, Volume 3 (pp. 79-98). Boca Raton, FL: CRC Press.
6. Gluck, K. A., & Gunzelmann, G. (2013). Computational process modeling and cognitive stressors: Background and prospects for application in cognitive engineering. In J. D. Lee & A. Kirlik (Eds.) The Oxford Handbook of Cognitive Engineering (pp. 424-432). New York, NY: Oxford University Press.
7. Jastrzembski, T. S., Portrey, A., Schreiber, B., & Gluck, K. A. (2013). Improving military readiness: Evaluation and prediction of performance to optimize training effectiveness. In Arthur, W., E. A. Day, W. Bennett, & A. M. Portrey (Eds.) Team Skill Decay: The Science and Implications for Practice (pp. 153-175). New York, NY: Taylor & Francis
8. Gluck, K. A., McNamara, J. M., Brighton, H., Dayan, P., Kareev, Y., Krause, J., Kurzban, R., Selten, R., Stevens, J. R., Voelkl, B., & Wimsatt, W. C. (2012). Robustness in a variable environment. In J. R. Stevens & P. Hammerstein (Eds.) Evolution and the Mechanisms of Decision Making (pp. 195-214). Strüngmann Forum Report, vol. 11, J. Lupp, series ed. Cambridge, MA: MIT Press.
9. Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2011). Fatigue in sustained attention: Generalizing mechanisms for time awake to time on task. In P. L. Ackerman (Ed.), Cognitive fatigue: Multidisciplinary perspectives on current research and future applications (pp. 83-101). Washington, DC: American Psychological Association.
10. Gluck, K. A. (2010). Cognitive architectures for human factors in aviation. In E. Salas & D. Maurino (Eds.) Human Factors in Aviation, 2nd Edition (pp. 375-400). New York, NY: Elsevier.
11. Gluck, K. A., Ball, J. T., & Krusmark, M. A. (2007). Cognitive control in a computational model of the Predator pilot. In W. Gray (Ed.), Integrated models of cognitive systems (pp. 13-28). New York, NY: Oxford University Press.
12. Gunzelmann, G., Gluck, K. A., Price, S., Dinges, D. F., O’Connor, R. M., & Van Dongen, H. P. A. (2007). Decreased arousal as a result of sleep deprivation: The unraveling of cognitive control. In W. Gray (Ed.), Integrated models of cognitive systems (pp. 243-253). New York, NY: Oxford University Press.
13. Diller, D. E, Gluck, K. A., Tenney, Y. J., & Godfrey, K. (2005). Comparison, convergence, and divergence in models of multi-tasking and category learning, and in the architectures used to create them. In K. A. Gluck & R. W. Pew (Eds.), Modeling human behavior with integrated cognitive architectures: Comparison, evaluation, and validation (pp. 307-349). Mahwah, NJ: Lawrence Erlbaum Associates.
14. Gluck, K. A., Pew, R. W., & Young, M. J. (2005). Background, structure, and preview of the model comparison. In K. A. Gluck & R. W. Pew (Eds.), Modeling human behavior with integrated cognitive architectures: Comparison, evaluation, and validation (pp. 3-12). Mahwah, NJ: Lawrence Erlbaum Associates.
15. Pew, R. W., Gluck, K. A., & Deutsch, S. (2005). Accomplishments, challenges, and future directions for human behavior representation. In K. A. Gluck & R. W. Pew (Eds.) Modeling human behavior with integrated cognitive architectures: Comparison, evaluation, and validation (pp. 397-414). Mahwah, NJ: Lawrence Erlbaum Associates.
16. Anderson, J. R., & Gluck, K. A. (2001). What role do cognitive architectures play in intelligent tutoring systems? In D. Klahr & S. M. Carver (Eds.), Cognition and instruction: 25 years of progress (pp. 227-261). Mahwah, NJ: Lawrence Erlbaum Associates.
17. Shute, V. J., Lajoie, S. P., & Gluck, K. A. (2000). Individualized and group approaches to training. In S. Tobias & J. D. Fletcher (Eds.), Training & retraining: A handbook for business, industry, government, and the military (pp. 171-207). New York: Macmillan.
Preprints
1. Orr, M., Cranford, D., Ford, K., Gluck, K., Hancock, W., Lebiere, C., Pirolli, P., Ritter, F., & Stocco, A. (2026). Zenon’s demon and the denial of domain-generality for transformer-based computational models of human behavior. arXiv preprint arXiv: 2608.12396v1. https://doi.org/10.48550/arXiv.2608.12396
2. Orr, M., Cranford, D., Ford, K., Gluck, K., Hancock, W., Lebiere, C., Pirolli, P., Ritter, F., & Stocco, A. (2025). Not even wrong: On the limits of prediction as explanation in cognitive science. arXiv preprint arXiv: 2510.03311v1. https://doi.org/10.48550/arXiv.2510.03311
Manuscripts Under Revision or In Preparation
1. Gluck, K. A., Anderson, J. R., Bothell, D., Cranford, E. A., Lebiere, C., Orr, M., Pirolli, P., Stocco, A., Thomson, R. and the ACT-ROSE Consortium (in prep). The futures of cognitive architectures in the era of generative AI. Frontiers in Psychology special collection on The Future of Cognitive Science in the Age of AI.
2. Stocco, A., Mitsopoulos, K., Yang, Y. C., Hake, H. S., Haile, T., Leonard, B., & Gluck, K. A. (under revision). Fitting, evaluating, and comparing cognitive architecture models using likelihood: A primer with examples in ACT-R. PLOS ONE. https://doi.org/10.48550/arXiv.2410.18055
Peer-Reviewed Conference and Workshop Proceedings
1. O’Connor, W., Fredette, L., Judy, K., Manion, C., Azari, D. P., Cranford, E., & Gluck, K. (2025). Effects of stress on cognitive performance and resilience. In Proceedings of the Systems and Information Engineering Design Symposium (pp. 324-329), Charlottesville, VA. https://doi.org/10.1109/SIEDS65500.2025.11021138
2. Mitsopoulos, K., Bose, R., Mather, B., Bhatia, A., Gluck, K., Dorr, B., Lebiere, C., & Pirolli, P. (2023). Psychologically-Valid Generative Agents: A Novel Approach to Agent-Based Modeling in Social Sciences. In Proceedings of the 2023 AAAI Fall Symposium on Integrating Cognitive Architectures and Generative Models. AAAI Press.
3. Collins, M. G., Tenison, C., Gluck, K. A., & Anderson, J. R. (2020). Detecting learning phases to improve performance prediction. In Stewart, T. C. (Ed.). Proceedings of the 18th International Conference on Cognitive Modeling. Waterloo, Canada: University of Waterloo.
4. Gluck, K. A., Ziegler, J., Nolan, B., Eberle, A., Duckro, D., Cline, J., Nelson, L., Setlur, V., & Wallace, Z. (2019). Emerging innovations for next generation mission planning and debrief. In Proceedings of the 2019 Interservice/Industry Training, Simulation, and Education Conference.
5. Gluck, K. A., Collins, M. G., Krusmark, M. A., Sense, F., Maaß, S., & van Rijn, H. (2019). Predicting performance in cardiopulmonary resuscitation. In Stewart, T. C. (Ed.). Proceedings of the 17th International Conference on Cognitive Modeling (pp. 53-58). Waterloo, Canada: University of Waterloo.
6. Hough, A. R., & Gluck, K. (2019). The understanding problem in cognitive science. In M. T. Cox (Ed.) Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems (pp. 55-74) Tech. Rep. No. COLAB-TR-4. Dayton, OH: Wright State University, Collaboration and Cognition Laboratory.
7. Jastrzembski, T. S., Gluck, K., Krusmark, M., Kardong-Edgren, S., Oermann, M., Gunzelmann, G., Harris, J., & Griffin, R. (2018). Comparison of performance for RQI CPR Training with and without dynamic feedback: Implications for skill measurement, system design, and certification policy. Proceedings of the American Heart Association Annual Meeting. Chicago, Illinois.
8. Jastrzembski, T., Walsh, M. M., Krusmark, M., Kardong-Edgren, S., Oermann, M., Dufour, K., Millwater, T., Gluck, K. A., Gunzelmann, G., Harris, J., & Stefanidis, D. (2017). Personalizing training to acquire and sustain competence through use of a cognitive model. In D. D. Schmorrow & C. M. Fidopiastis, Augmented cognition. Enhancing cognition and behavior in complex environments (pp. 148-161). Switzerland: Springer International Publishing AG.
9. Collins, M. G., Gluck, K. A., Walsh, M., & Krusmark, M. (2017). Using Prior Data to Inform Initial Performance Predictions of Individual Students. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 1800-1805). Austin, TX: Cognitive Science Society.
10. Collins, M. G., Gluck, K. A., Walsh, M. W., Krusmark, M., & Gunzelmann, G. (2016). Using prior data to inform model parameters in the predictive performance equation. In Papafragou, A., Grodner, D., Mirman, D., & Trueswell, J.C. (Eds.) Proceedings of the 38th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
11. Halsey, A., Myers, C. W., Gluck, K., & Harris, J. (2016). Predicting the effects of in-task instruction during multi-cue diagnosis. In D. Reitter and F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling. State College, PA: The Pennsylvania State University.
12. Collins, M., Gluck, K. A., & Jastrzembski, T. S. (2015). DataShopping for performance predictions. In Foundations of Augmented Cognition (pp. 12-23). Springer International Publishing.
13. Collins, M., Juvina, I., Douglas, G., & Gluck, K. A. (2015). Predicting trust dynamics in games of strategic interaction as a function of player’s strategy and level of trustworthiness. In Proceedings of the 24th Annual Conference on Behavioral Representation in Modeling and Simulation (BRIMS), Washington D.C.
14. Myers, C. W., Gluck, K. A., Harris, J., Veksler, V., Mielke, T., & Boyd, R. (2015). Evaluating Instance-based Learning in Multi-cue Diagnosis. In N. Taatgen, M. van Vugt, J. Borst, & K. Mehlhothe (Eds.), Proceedings of the 13th International Conference on Cognitive Modeling (pp. 198-199). Groningen, The Netherlands: University of Groningen.
15. Myers, C.W., Harris, J., Gluck, K. A., Veksler, V., Mielke, T., Boyd, R., & Walsh, M. (2015). Robust Decisions in Aerospace Environments with Fast & Frugal Trees. In Proceedings of the 86th Annual Meeting of the Aerospace Medical Association.
16. Walsh, M. W., Collins, M., & Gluck, K. A. (2015). Verbal reports reveal strategies in multiple-cue probabilistic inference. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2589-2594). Austin, TX: Cognitive Science Society.
17. Jastrzembski, T., Stefanidis, D., Gluck, K. A., Krusmark, M. A., & Gunzelmann, G. (2014). Cognitive modeling for surgical skill performance prediction. In Proceedings of the Human Factors and Ergonomics Society 58th Annual Meeting. Thousand Oaks, CA: SAGE.
18. Veksler, V. D., Gluck, K. A., Myers, C. W., Harris, J., & Mielke, T. (2014). Controlling state-space explosion in chunk learning. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 3032-3037). Austin, TX: Cognitive Science Society.
19. Walsh, M. W., & Gluck, K. A. (2014). Using verbal protocol analysis to identify heuristics in probabilistic inference. Proceedings of the 36th Annual Conference of the Cognitive Science Society. Quebec City, Quebec.
20. Gluck, K. A., Veksler, V. D., Buchler, N., Kelley, T., Bello, P., Donlon, J., Vera, A., & Lee, B. (Organizers). (2014, July). Symposium on the Computational Cognition Ideation Challenge. Proceedings of the 36th Annual Conference of the Cognitive Science Society. Quebec City, Quebec.
21. Gluck, K. A. (Organizer). (2013). Symposium on Robustness in Cognitive and Behavioral Systems. Proceedings of the 22nd Conference on Behavior Representation in Modeling and Simulation.
22. Neth, H., Czienskowski, U., Schooler, L., & Gluck, K. A. (2013, July). Making robust classification decisions: Constructing and evaluating fast and frugal trees (FFTs). Tutorial delivered at and in the Proceedings of the 35th Annual Conference of the Cognitive Science Society. Berlin, Germany.
23. Veksler, V. D., Myers, C. W., & Gluck, K. A. (2012). An integrated model of associative and reinforcement learning. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1078-1083). Austin, TX: Cognitive Science Society.
24. Jastrzembski, T. S., Addis, K., Krusmark, M., Gluck, K. A., & Rodgers, S. (2010). Prediction intervals for performance prediction. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 109-114). Philadelphia, PA: Drexel University.
25. Moore, L. R., Kopala, M., Mielke, T., Krusmark, M., & Gluck, K. A. (2010). Simultaneous performance exploration and optimized search with volunteer computing. Proceedings of the ACM International Symposium on High Performance Distributed Computing. Chicago, IL.
26. Best, B. J., Furjanic, C., Gerhart, N., Fincham, J., Gluck, K. A., Gunzelmann, G., & Krusmark, M. A. (2009). Adaptive mesh refinement for efficient exploration of cognitive architectures and cognitive models. In A. Howes, D. Peebles, & R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, United Kingdom: University of Manchester.
27. Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2009). Examining Sources of Individual Variation in Sustained Attention. In N. Taatgen, & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
28. Gunzelmann, G., Moore, L. R., Salvucci, D. D., & Gluck, K. A. (2009). Fluctuations in Alertness and Sustained Attention: Predicting Driver Performance. In A. Howes, D. Peebles, & R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, United Kingdom: University of Manchester.
29. Jastrzembski, T., & Gluck, K. A. (2009). Mathematical modeling for performance prediction: Balancing Plausibility with Form & Function Using Formal Comparison Techniques. In A. Howes, D. Peebles, & R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, United Kingdom: University of Manchester.
30. Jastrzembski, T. S., Gluck, K. A., & Rodgers, S. (2009). The Predictive Performance Optimizer: An Adaptive Analysis Cognitive Tool for Performance Prediction. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 53(21), 1642-1646. https://doi.org/10.1177/154193120905302102
31. Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2008). Individual differences in sustained vigilant attention: Insights from computational cognitive modeling. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 2017-2022). Austin, TX: Cognitive Science Society.
32. Gluck, K. A. (2007). Barriers, bridges, and progress in cognitive modeling for military applications. In Proceedings of the National Academy of Engineering’s 2007 U.S. Frontiers of Engineering Symposium (pp. 99-103). Washington, DC: National Academies Press.
33. Gluck, K. A., Scheutz, M., Gunzelmann, G., Harris, J., & Kershner, J. (2007). Combinatorics meets processing power: Large-scale computational resources for BRIMS. In Proceedings of the Sixteenth Conference on Behavior Representation in Modeling and Simulation (pp. 73-83). Orlando, FL: Simulation Interoperability Standards Organization. (Selected for Recommended Reading List)
34. Gunzelmann, G., Gluck, K. A., Kershner, J., Van Dongen, H. P. A., & Dinges, D. F. (2007). Understanding decrements in knowledge access resulting from increased fatigue. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society (pp. 329-334). Austin, TX: Cognitive Science Society. (Winner of Best Paper Prize for Computational Modeling – Applied)
35. Jastrzembski, T. S., Gluck, K. A., & Gunzelmann, G. (2006a). Mathematical models of spacing effects in memory: Applications in education and training. In Proceedings of the Society for Mathematical Psychology Annual Meeting. Vancouver, Canada.
36. Jastrzembski, T. S., Gluck, K. A., & Gunzelmann, G. (2006b). Knowledge tracing and prediction of future trainee performance. In the Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (pp. 1498-1508). Orlando, FL: National Training Systems Association. (**Winner of the Best Paper Award**)
37. Gluck, K. A., Gunzelmann, G., Gratch, J., Hudlicka, E., & Ritter, F. (2006). Modeling the impact of cognitive moderators on human cognition and performance. In R. Sun & N. Miyake (Eds.), Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society (p. 2658). Mahwah, NJ: Lawrence Erlbaum Associates.
38. Gross, J. B., Gunzelmann, G., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2006). Prediction of circadian performance during sleep deprivation. In R. Sun & N. Miyake (Eds.), Proceedings of the Twenty-Eighth Annual Meeting of the Cognitive Science Society (pp. 297-302). Mahwah, NJ: Lawrence Erlbaum Associates.
39. Gluck, K. A., Ball, J. T., Gunzelmann, G., Krusmark, M. A., Lyon, D. R., & Cooke, N. J. (2005). A prospective look at a synthetic teammate for UAV applications. Proceedings of the American Institute of Aeronautics and Astronautics Infotech@Aerospace Conference.
40. Gunzelmann, G., Gluck, K. A., Van Dongen, H. P. A., O’Connor, R. M., & Dinges, D. F. (2005). A neurobehaviorally inspired ACT-R model of sleep deprivation: Decreased performance in psychomotor vigilance. In B. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (pp. 857-862). Lawrence Erlbaum Associates.
41. Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2005). Spatial visualization in two vs. three dimensions. In B. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Annual Conference of the Cognitive Science Society (p. 2519). Lawrence Erlbaum Associates.
42. Ball, J., Rodgers, S. & Gluck, K. A. (2004). Integrating ACT-R and Cyc in a Large-Scale Model of Language Comprehension for Use in Intelligent Agents. In Papers from the AAAI Workshop, Technical Report WS-04-07. Menlo Park, CA: AAAI Press.
43. Gunzelmann, G., & Gluck, K. A. (2004). Knowledge tracing for complex training applications: Beyond Bayesian mastery estimates. Proceedings of the 13th Conference on Behavior Representation in Modeling and Simulation, 383-384. Orlando, FL: Institute for Simulation & Training.
44. Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2004) Emulating a visuospatial memory field using ACT-R. Proceedings of the 6th International Conference on Cognitive Modeling, pp. 368-9, Pittsburgh, PA.
45. Ball, J. T., & Gluck, K. A. (2003). Interfacing ACT-R 5.0 to an uninhabited air vehicle (UAV) synthetic task environment (STE). Proceedings of the 10th Annual ACT-R Workshop. Pittsburgh, PA.
46. Ball, J. T., Gluck, K. A., Krusmark, M. A., & Rodgers, S. M. (2003). Comparing three variants of a computational process model of basic aircraft maneuvering. Proceedings of the 12th Conference on Behavior Representation in Modeling and Simulation, 87-98. Orlando, FL: Institute for Simulation & Training.
47. Gluck, K. A., Ball, J. T., Krusmark, M. A., Rodgers, S. M., & Purtee, M. D. (2003). A computational process model of basic aircraft maneuvering. Proceedings of the 5th International Conference on Cognitive Modeling, 117-122. Bamberg, Germany: Universitats-Verlag Bamberg. (Winner of the Siegel-Wolf Award for Best Applied Research)
48. Purtee, M. D. Krusmark, M. A., Gluck, K. A., Kotte, S. A., & Lefebvre, A. T. (2003). Verbal protocol analysis for validation of UAV operator model. Proceedings of the 25th Interservice/Industry Training, Simulation, and Education Conference, 1741-1750. Orlando, FL: National Defense Industrial Association.
49. Feinerman, L. E., Prochnow, D. L., Gluck, K. A., & Willis, R. P. (2001). A persistent federation for human behavior representation models. In the Proceedings of the 2001 Spring Simulation Interoperability Workshop. Orlando, FL: Institute for Simulation and Training
50. Gluck, K. A., & Pew, R. W. (2001a). Lessons learned and future directions for the AMBR model comparison project. Proceedings of the 10th Annual Conference on Computer-Generated Forces and Behavior Representation, 113-121. Orlando, FL: Division of Continuing Education, University of Central Florida. www.sisostds.org/cgf-br/10th/view-papers.htm
51. Gluck, K. A., & Pew, R. W. (2001b). Overview of the agent-based modeling and behavior representation (AMBR) model comparison project. Proceedings of the 10th Annual Conference on Computer-Generated Forces and Behavior Representation, 3-6. Orlando, FL: Division of Continuing Education, University of Central Florida. www.sisostds.org/cgf-br/10th/view-papers.htm
52. Gluck, K. A., Staszewski, J. J., Richman, H., Simon, H. A., & Delahanty, P. (2001). The right tool for the job: Information-processing analysis in categorization. Proceedings of the 23rd Annual Meeting of the Cognitive Science Society (pp. 330-335). London: Erlbaum.
53. Gluck, K. A. (2000). An ACT-R/PM model of algebra symbolization. In N. Taatgen & J. Aasman (Eds.), Proceedings of the Third International Conference on Cognitive Modeling (pp. 134-141). Veenendaal: Universal Press.
54. Gluck, K. A., Anderson, J. R., & Douglass, S. A. (2000). Broader bandwidth in student modeling: What if ITS were “Eye”TS? In G. Gauthier, C. Frasson, & K. VanLehn (Eds.), Proceedings of the 5th International Conference on Intelligent Tutoring Systems (pp. 504-513). New York: Springer-Verlag.
55. Gluck, K. A., Shute, V. J., Anderson, J. R., & Lovett, M. C. (1998a). Deconstructing a computer-based tutor: Striving for better learning efficiency in Stat Lady. In B. P. Goettl, H. M. Halff, C. L. Redfield, & V. J. Shute (Eds.), Proceedings of the 4th International Conference on Intelligent Tutoring Systems (pp. 66-75). New York: Springer.
Published Abstracts and Conference Posters
1. Cranford, E. A., Gluck, K. A., Lieberman, H. R., Margolis, L., Rood, J., Pasiakos, J., Perry, T., & Bamman, M. (2025). Compu-cognomic evaluations of the fatigue and stress responses using retrospective cognitive performance data. [Poster Presentation]. 2025 Military Health System Research Symposium, Kissimmee, FL.
2. Cranford, E. A., Judy, K., Manion, C., O’Connor, W., Mortimore, K., & Gluck, K. A. (2024, abstract). A prospective look at the role of the compu-cognome for explaining warfighter stress resilience in retrospective cognitive performance data. In Proceedings of the Military Health System Research Symposium.
3. Hough, A., Gluck, K., & Lee, M. (2020). Strategy inference and switch detection method generalizes to category learning [Abstract]. In S. Denison, M. Mack, Y. Xu, & B. Armstrong (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (p. 2808).
4. Gluck, K. A., Gunzelmann, G., & Krusmark, M. (2009). Do the details matter? Comparing performance forecasts from two computational theories of fatigue [Abstract]. In A. Howes, D. Peebles, & R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, United Kingdom: University of Manchester.
5. Harris, J., Gluck, K. A., Mielke, T., & Moore, L. R. (2009). MindModeling@Home . . . and anywhere else you have idle processors [Abstract]. In A. Howes, D. Peebles, & R. Cooper (Eds.), Proceedings of the Ninth International Conference on Cognitive Modeling. Manchester, United Kingdom: University of Manchester.
6. Gluck, K. A., & Harris, J. (2008). MindModeling@Home [Abstract]. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Meeting of the Cognitive Science Society (p. 1422). Austin, TX: Cognitive Science Society.
7. Moore, L., Gunzelmann, G., & Gluck, K. A. (2008). Evaluating mechanisms of fatigue using a digit-symbol substitution task [Abstract]. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (p. 1522). Austin, TX: Cognitive Science Society.
Technical Reports and Dissertation
1. Norberg, K., Gluck, K., & Seale, K. (2023). Actively Building Context (ABC): A Model for Context-Aware Communication. AFRL-RH-WP-TR-2023-0032 Interim Report published at the Defense Technical Information Center. (https://apps.dtic.mil/sti/citations/trecms/AD1207161)
2. Gluck, K. A. (1999). Eye movements and algebra tutoring. Doctoral dissertation, Carnegie Mellon University, Pittsburgh.
Keynote and Invited Presentations
Gluck, K. A. (2024, March). Mind flight: A sampling of things we now know about the human mind. Invited IHMC Evening Lecture. Ocala, FL. https://www.ihmc.us/lectures/20240328/
Gluck, K. A. (2023, May). Molecules, Minds, and Machines. Invited Keynote at Midwest Cognitive Science Conference. Grand Valley State University, Grand Rapids, MI.
Gluck, K. A. (2023, February). Informative failures, occasional insights, and proposed priorities for progress in computational cognitive science and technology. Invited presentation at the Institute for Human and Machine Cognition. Pensacola, FL.
Gluck, K. A. (2019, September). Training research at AFRL. Invited keynote at Synthetic and Simulation Training Summit. Orlando, FL.
Gluck, K. A. (2018, October). Cognitive Science at AFRL: Personal reflections, research highlights, and employment opportunities. Invited presentation in the Department of Psychology at Trinity University. San Antonio, TX.
Gluck, K. A. (2018, October). Cognitive Science at AFRL: A non-random sample of research highlights and employment opportunities. Invited presentation in the Department of Cognitive Sciences at UC Irvine, CA.
Gluck, K. A. (2018, September). Contributions and Challenges (Mostly the Latter). Invited presentation at the Emerging Disruptive Technologies Wargame on AI and ML for C2/PED. Arlington, VA.
Gluck, K. A. (2017, November). Human performance prediction: Basic mechanisms and exploratory applications. Invited Keynote presentation at the Asian Conference on Defense Technologies. Tokyo, Japan.
Gluck, K. A. (2017, May). What matters? The Customer. Invited panel presentation at the 19th International Symposium on Aviation Psychology. Fairborn, OH.
Gluck, K. A. (2017, April). Cognitive science and technology at AFRL. Invited Keynote Presentation at the 55th National Junior Science and Humanities Symposium. La Jolla, CA.
Gluck, K. A. (2017, March). Cognitive models and agents: Overview, progress, and future directions. Invited presentation at Aptima, Inc. Fairborn, OH.
Gluck, K. A. (2017, March). Introduction to cognitive models and agents. Guest lecture in Maj Chad Tossell’s Advanced Human Factors course, U.S. Air Force Academy. Colorado Springs, CO.
Gluck, K. A. (2016, October). Reflections on robustness. Human-Robot Interaction Lab. Tufts University. Boston, MA, USA.
Gluck, K. A., & Walsh, M. W. (2015, July). Robustness: Definition, quantification, and mechanisms. 711 Human Performance Wing Commander’s Luncheon Series.
Gluck, K. A. (2015, June). On banyan trees and the future of ABC. Max Planck Institute for Human Development. Berlin, Germany.
Gluck, K. A. (2015, May). Making decisions and achieving robustness. University of Michigan Cognition and Cognitive Neuroscience Program. Ann Arbor, MI.
Gluck, K. A. (2014, October). Cognitive models and agents and robustness. Wright State University Psychology Department brown bag series. Fairborn, OH.
Gluck, K. A. & Sidor, G. (2014, October). Pilot cognitive processing and overload. F-35 Aeromedical Community of Interest. Pentagon Conference Center. Arlington, VA.
Gluck, K. A. (2013, November). Closing panel presentation at the AAAI Fall Symposium on Integrated Cognition. Arlington, VA.
Gluck, K. A. (2012, April). Keynote presentation at the 23rd Midwest Artificial Intelligence and Cognitive Science Conference. Cincinnati, OH.
Gluck, K. A. (2012, February). Indiana University, Bloomington.
Gluck, K. A. (2011, May). Technical University of Berlin.
Gluck, K. A. (2011, May). University of Basel.
Gluck, K. A. (2011, April). Exploring methods for exploring models. Invited Keynote Presentation at the 2nd European ACT-R Spring School and Workshop.
Gluck, K. A. (2011, February). University of Freiburg.
Gluck, K. A. (2009, July). Comments on the Future of ACT-R. Invited presentation at the 16th ACT-R Workshop. Amsterdam, Netherlands.
Gluck, K. A. (2008, September). RHA Cognition Portfolio. Invited presentation at the Biosciences and Protection Division’s Cognition Workshop. WPAFB, OH.
Gluck, K. A. (2007, October). High-Performance and Grid Computing: Enablers for Large-Scale Computational Cognitive Modeling. Invited presentation at the ASU Psychology Department’s Cognition, Action, and Perception Symposium. Tempe, AZ.
Gluck, K. A. (2007, September). Barriers, Bridges, and Progress in Cognitive Modeling for Military Applications. Invited presentation at the National Academy of Engineering Frontiers of Engineering Symposium – Session on Modeling and Simulating Human Behavior. Redmond, WA.
Gluck, K. A. (2007 – July). Reflections on the AMBR Project. Invited presentation at the AAAI Workshop on Evaluating Architectures for Intelligence. Vancouver, Canada.
Gluck, K. A. (2006, September). Insight, complexity, and validity in human behavior representation. Invited plenary presentation at the Fall Simulation Interoperability Workshop (SIW). Orlando, FL.
Gluck, K. A. (2006, February). Theoretical and empirical constraints in modeling the effects of fatigue on cognition. Invited colloquium presentation at Drexel University’s Department of Computer Science. Philadelphia, PA.
Gluck, K. A., Ball, J. T., & Krusmark, M. A. (2005, March). Cognitive control in a computational model of the Predator UAV operator. Invited presentation at the Workshop on Modeling Integrated Cognitive Systems, Saratoga Springs, NY.
Gluck, K. A., Gunzelmann, G., Dinges, D., O’Connor, R., & van Dongen, H. P. A. (2005, March). An arousal/fatigue mechanism for ACT-R. Invited presentation at the Workshop on Modeling Integrated Cognitive Systems, Saratoga Springs, NY.
Gluck, K. A., Gunzelmann, G., Dinges, D., O’Connor, R., & van Dongen, H. P. A. (2004, October). Computational cognitive process models: A case study in modeling fatigue effects. Invited presentation at the NASA Workshop on Cognition in Spaceflight, Chandler, AZ.
Gluck, K. A. (2001, December). The performance and learning models research program. Invited colloquium presentation for the Department of Psychology at the University of South Florida.
Scientific Meeting Leadership and Organization
Cranford, E. A., Gluck, K. A., Orr, M., Pirolli, P., Anderson, J. R., Bothell, D., Lebiere, C., Morrison, D., & Stocco, A. (2026, May). Spring 2026 Special Workshop on the Futures of Cognitive Architectures and the ACT-R Ecosystem. IHMC. Pensacola, FL.
Lee, M. D., & Gluck, K. A. (Chairs). (2019, July). Symposium: Recent Developments in Modeling Strategy Use in Searching and Deciding. 52nd Annual Meeting of the Society for Mathematical Psychology. Montreal, Canada.
Gluck, K. A., & Laird, J. (Chairs). (2017, May). Strüngmann Forum on Interactive Task Learning. Frankfurt, Germany.
Gluck, K. A., & Gunzelmann, G. (Chairs). (2016, May). Workshop on Cognition for Human Performance and Autonomous Systems. Dayton, OH.
Gluck, K. A., & Gray, W. D. (Organizers). (2015, July). Symposium on Communicating Cognitive Science. Proceedings of the 37th Annual Conference of the Cognitive Science Society. Pasadena, CA.
Laird, J., & Gluck, K. A. (Organizers). (2015, April). Workshop on Interactive Task Learning. International Conference on Cognitive Modeling. Groningen, Netherlands.
Gluck, K. A., Veksler, V. D., Buchler, N., Kelley, T., Bello, P., Donlon, J., Vera, A., & Lee, B. (Organizers). (2014, July). Symposium on the Computational Cognition Ideation Challenge. Proceedings of the 36th Annual Conference of the Cognitive Science Society. Quebec City, Quebec.
Gluck, K. A. (Organizer). (2013). Symposium on Robustness in Cognitive and Behavioral Systems. 22nd Conference on Behavior Representation in Modeling and Simulation.
Neth, H., Czienskowski, U., Schooler, L., & Gluck, K. A. (2013, July). Making robust classification decisions: Constructing and evaluating fast and frugal trees (FFTs). Tutorial delivered at 35th Annual Meeting of the Cognitive Science Society. Berlin, Germany.
Gluck, K. A. (Organizer). (2012, March). Symposium on Accelerating the Evolution of Cognitive Architectures. 21st Conference on Behavior Representation in Modeling and Simulation. Amelia Island, FL.
Gluck, K. A. (Rapporteur). (2011, June). Ernst Strüngmann Forum on Evolving the Mechanisms of Decision Making. Discussion Group on Robustness in a Variable Environment.
Gluck, K. A., & Stanley, C. (Organizers). (2011, January). Strategic Expansion Workshop on Cognitive Modeling. Dayton, OH.
Gluck, K. A. (Organizer). (2009, June). Invited Symposium on High Performance Computing for Computational Cognitive Modeling: Recent Developments, Lessons Learned, and New Directions. Human Behavior-Computational Intelligence Modeling Conference. Oak Ridge National Lab, TN.
Gluck, K. A. (Organizer). (2009, April). Symposium on Challenges and Recommendations for Progress in Modeling and Simulation of Individuals, Organizations, and Societies. 18th Conference on Behavior Representation in Modeling and Simulation. Sundance, UT.
Gluck, K. A. (Discussant). (2009, April). Symposium on Comparing the Comparisons. 18th Conference on Behavior Representation in Modeling and Simulation. Sundance, UT.
Gluck, K. A. (Organizer). (2008, July). Symposium on Large-Scale Computing Resources and ACT-R Modeling. ACT-R Workshop. Pittsburgh, PA.
Gluck, K. A. (Organizing Committee). (2007, July). Workshop on Evaluating Architectures for Intelligence. AAAI Annual Conference. Vancouver, Canada.
Gluck, K. A. (Co-Organizer with P. Bello and J. Busemeyer). (2006, September). Workshop on Model Comparison and Model Validation. Syracuse, NY.
Gluck, K. A., & Gunzelmann, G. (Organizers). (2006, July). Symposium on Modeling the Impact of Cognitive Moderators on Human Cognition and Performance. 28th Annual Meeting of the Cognitive Science Society. Vancouver, BC, Canada.
Gluck, K. A. (Organizer). (2005, February). Workshop on Research Directions and Priorities in Computational Cognitive Process Modeling. Mesa, Arizona.
Gluck, K. A., & Gray, W. D. (Organizers). (2004, August). ACT-R as a Unified Architecture of Cognition: A Symposium in Honor of John R. Anderson. The Rumelhart Symposium at the 26th Annual Meeting of the Cognitive Science Society.
Gluck, K. A. (Local Arrangements Host) (2004, March). AFOSR Workshop on Cognition and Decision Making. Chandler, Arizona.
Gluck, K. A. (Organizer and Chair). (2003). Symposium on the Representation of Psychological Space. In F. Detje, D. Dörner, & H. Schaub (Eds.), Proceedings of the 5th International Conference on Cognitive Modeling (pp. 307-308). Universitats-Verlag Bamberg.
Gluck, K. A., & Pew, R. W. (Organizers). (2002). The AMBR Model Comparison Project: Round III – Modeling Category Learning. In W. D. Gray & C. D. Schunn (Eds.), Proceedings of the 24th Annual Conference of the Cognitive Science Society (pp. 21-22). Mahwah, NJ: Erlbaum.
Gluck, K. A. (Organizer) (2002, January). Winter Workshop on ACT-R Models of Human-System Interaction. Mesa, AZ.
Gluck, K. A., & Salvucci, D. (Organizers). (2000, August). Panel Session on Applications for Cognitive Modeling. 7th Annual ACT-R Workshop, Pittsburgh, PA.
Conference Presentations – Presenting/First Author
Gluck, K. A., (2026, July). Proposal for an ACT-ROSE governance framework. 33rd ACT-R Workshop. Montreal, Canada.
Gluck, K. A., & Griffin, R. (2023, September). IHMC R&D Connections to Army Sustainment Modernization Priorities. Contested Logistics Industry Week. Fort Gregg-Adams, VA.
Gluck, K. A., et al. (2020, September). Mission planning and debrief. AFRL Autonomy Portfolio Scientific Advisory Board Review. **Received Best Poster Award.
Gluck, K., Ziegler, J., Nolan, B., Eberle, A., Duckro, D., Cline, J., Nelson, L., Setlur, V., & Wallace, Z. (2019, December). Emerging technologies for next generation mission planning and debrief. Interservice/Industry Training, Simulation, and Education Conference. Orlando, FL.
Gluck, K. A., Lee, M., & Walsh, M. (2017, July). Inferring decision strategy: Explorations in integrating multiple sources of behavioral data. Annual Meeting of the Society for Mathematical Psychology. Coventry, UK.
Gluck, K. A. (2017, April). The predictive performance optimizer. Eastman Chemical. Virtual.
Gluck, K. A. (2016, August). Pace, persistence, and scale. ACT-R Post-Graduate Summer School. Lancaster, PA, USA.
Gluck, K. A. (2016, May). The end of the Millennium: Grad student life in the 90s. CMU Psychology 100 Years Celebration and Reunion. Carnegie Mellon University. Pittsburgh, PA, USA.
Gluck, K. A. (2015, December). Presentations on Predictive Performance Optimization and on Robustness. Crown Equipment Corporation. New Bremen, OH, USA.
Gluck, K. A., & Walsh, M. W. (2015, September). Robustness as a selection criterion for human-machine systems. Presented at AFRL-AFIT Technical Interaction Meeting on Autonomy. Wright-Patterson AFB, OH, USA.
Gluck, K. A. (2015, July). Predictive performance optimization venture capital pitch. Annual Meeting of the Society for Mathematical Psychology. Irvine, CA, USA.
Gluck, K. A., & Walsh, M. W. (2013, September). Robustness as a selection criterion for human-machine systems. Presented at AFRL-AFIT Colloquium on Human-Machine Systems. Wright-Patterson AFB, OH, USA.
Gluck, K. A. (2012, August). Annual cognitive modeling competition. Poster presented at the 34th Annual Meeting of the Cognitive Science Society. Sapporo, Japan.
Gluck, K. A. (2012, April). Annual cognitive modeling competition. Poster presented at the 11th International Conference on Cognitive Modeling. Berlin, Germany.
Gluck, K. A. (2012, March). AFRL sponsor presentation. Presented in sponsor session at the 21st Conference on Behavior Representation in Modeling and Simulation. Amelia Island, FL.
Gluck, K. A. (2012, March). Annual cognitive modeling competition. Poster presented at the 21st Conference on Behavior Representation in Modeling and Simulation. Amelia Island, FL.
Gluck, K. A. (2010, March). Exploration for understanding in model comparisons. Presented in panel on results and lessons learned from the 2009 DSF model comparison challenge. Conference on Behavior Representation in Modeling and Simulation. Charleston, SC.
Gluck, K. A. (2010, March). AFRL sponsor presentation. Presented in sponsor session at the 19th Conference on Behavior Representation in Modeling and Simulation. Charleston, SC.
Gluck, K. A. (2009, April). AFRL sponsor presentation. Presented in sponsor session at the 18th Conference on Behavior Representation in Modeling and Simulation. Sundance, UT.
Gluck, K. A. (2008, September). Improving human performance and learning models for warfighter readiness. Presented in Panel on Issues and Challenges in Human Performance Modeling in Aviation: Goals, Advances, and Gaps. 52nd Annual Meeting of the Human Factors and Ergonomics Society. New York, NY.
Gluck, K. A., & Harris, J. (2008, July). The MindModeling meta-computing infrastructure. ACT-R Workshop. Pittsburgh, PA.
Gluck, K. A. (2007, November). Cognitive models and agents. Presented at the AFRL/RH Scientific Advisory Board review, Wright-Patterson AFB, OH. (Selected as Best Presentation in AFRL/RH)
Gluck, K. A. (2007, March). Combinatorics meets processing power: Large-scale computational resources for BRIMS. 16th Conference on Behavior Representation in Modeling and Simulation. Norfolk, VA.
Gluck, K. A. (2006, May). Validation standards for HBR. Presented in the Symposium on Human Behavior Representation Standards: Are We Ready for Them? Are They Ready for Us? 15th Conference on Behavior Representation in Modeling and Simulation. Baltimore, MD.
Gluck, K. A. (2005, October). Performance and Learning Models (PALM) Research. Presented at the AFRL/HE Scientific Advisory Board review, Wright-Patterson AFB, OH.
Gluck, K. A., Ball, J. T., Gunzelmann, G., Krusmark, M. A., Lyon, D. R., & Cooke, N. J. (2005, September). A prospective look at a synthetic teammate for UAV applications. Invited presentation at the American Institute of Aeronautics and Astronautics Infotech@Aerospace Conference.
Gluck, K. A., & Gunzelmann, G. (2005, July). Informative failures on the path to a theory of degraded cognition. Presentation at the 12th ACT-R Workshop, Trieste, Italy.
Gluck, K. A., Ball, J. T., Krusmark, M. A., Purtee, M. T., Rodgers, S. M. (2004, May). Cognitive modeling in human factors (generally) and in Predator UAV operations (specifically). Presentation at the Human Factors of UAVs Workshop, Chandler, AZ.
Gluck, K. A. (2004, March). Toward the principled integration of computational cognitive process models and mathematical fatigue models. Presentation at the AFOSR Fatigue Countermeasures PRET Center Review, Philadelphia, PA.
Gluck, K. A., Ball, J., Krusmark, M., Purtee, M., & Rodgers, S. (2004, March). Modeling human performance in a Predator UAV Synthetic Task Environment. AFOSR Cognition and Decision-Making Workshop, Chandler, Arizona.
Gluck, K. A., & Ball, J. (2003, July). Interfacing ACT-R 5.0 to AFRL’s Predator UAV STE. Presentation in the Symposium on Interfacing ACT-R to External Simulation Environments, 10th ACT-R Workshop, Pittsburgh, PA.
Gluck, K. A. (2003, May). The role of computational cognitive process models in enhancing training for warfighter readiness. Presentation in the panel on Enhancing Warfighter Readiness through Advanced Technological Interfaces, 74th Annual Scientific Meeting of the Aerospace Medical Association, San Antonio, TX.
Gluck, K. A., Ball, J. T., Krusmark, M. A., Rodgers, S. M., & Purtee, M. D. (2003, April). A computational process model of basic aircraft maneuvering. Paper presentation at the 5th International Conference on Cognitive Modeling, Bamberg, Germany.
Gluck, K. A., Ball, J., & Krusmark, M. (2002, January). Modeling basic maneuvering with the Predator UAV. Presentation at the Winter Workshop on ACT-R Models of Human-System Interaction (sponsored by AFOSR: http://www.dtic.mil/AFRL/afrl.html).
Gluck, K. A., Staszewski, J. J., Richman, H., Simon, H. A., & Delahanty, P. (2001, August). The right tool for the job: Information-processing analysis in categorization. Paper presentation in the Herb Simon Memorial Symposium, 23rd Annual Meeting of the Cognitive Science Society, Edinburgh, Scotland.
Gluck, K. A., & Young, M. J. (2001, August). The AMBR model comparison project: Multi-tasking, the Icarus federation, and concept learning. Poster presentation at the 23rd Annual Meeting of the Cognitive Science Society, Edinburgh, Scotland.
Gluck, K. A., & Pew, R. W. (2001a, May). Overview of the agent-based modeling and behavior representation (AMBR) model comparison project. Presentation at the 10th Annual Conference on Computer-Generated Forces and Behavior Representation, Norfolk, VA.
Gluck, K. A., & Pew, R. W. (2001b, May). Lessons learned and future directions for the AMBR model comparison project. Presentation at the 10th Annual Conference on Computer-Generated Forces and Behavior Representation, Norfolk, VA.
Gluck, K. A., & Young, M. J. (2000, November). The agent-based modeling and behavior representation (AMBR) project: Completed, ongoing, and future activities. Presentation at the 2000 AAAI Fall Symposium on Simulating Human Agents, Cape Cod, MA.
Gluck, K. A. (2000, August). Cognitive trainers: How well does the Cognitive Tutor approach map to Air Force training needs? Presentation at the 7th Annual ACT-R Workshop, Pittsburgh, PA.
Gluck, K. A., Anderson, J. R., & Douglass, S. A. (2000, June). Broader bandwidth in student modeling: What if ITS were “Eye”TS? Paper presented at the 5th International Conference on Intelligent Tutoring Systems, Montreal, Canada.
Gluck, K. A. (2000, March). An ACT-R/PM model of algebra symbolization. Paper presented at the 3rd International Conference on Cognitive Modeling, Groningen, Netherlands.
Gluck, K. A. (2000, March). Agent-based Modeling and Behavioral Representation: The AMBR Project. Poster presented at the 3rd International Conference on Cognitive Modeling, Groningen, Netherlands.
Gluck, K. A., Anderson, J. R., Douglass, S. A., & Byrne, M. D. (1999, August). Progress towards an ACT-R/PM model of algebra symbolization. Presentation at the 6th Annual ACT-R Workshop, Fairfax, VA.
Gluck, K. A., Shute, V. J., Anderson, J. R., & Lovett, M. C. (1998, August). Deconstructing a computer-based tutor: Striving for better learning efficiency in Stat Lady. Paper presented at the 4th International Conference on Intelligent Tutoring Systems, San Antonio, TX.
Gluck, K. A. (1998, July). Exploring context and feature manipulations in the Stat Lady tutor. Presentation at the 16th Annual CMU-Pitt Conference, Pittsburgh, PA.
Gluck, K. A. (1997, August). Learning to learn from a computer-based tutor: An ACT-R model as proof-of-concept. Presentation at the 4th Annual ACT-R Workshop, Pittsburgh, PA.
Gluck, K. A., Lovett, M. C., & Anderson, J. R. (1997, August). The adaptive nature of learning from Stat Lady. Poster presentation at the 19th Annual Conference of the Cognitive Science Society, Stanford, CA.
Gluck, K. A. (1997, July). The adaptive nature of learning from Stat Lady. Poster presentation at the 15th Annual Pitt-CMU Conference, Pittsburgh, PA.
Gluck, K. A., Lovett, M. C., Anderson, J. R., & Park, J. W. (1997, June). Learning about learning from Stat Lady. Presentation at the World Conference on Educational Multimedia and Hypermedia, Calgary, Canada.
Gluck, K. A. (1996, June). Progress toward an ACT-R model of learning from the Stat Lady Descriptive Statistics Tutor. Presentation at the 14th Annual CMU-Pitt Conference, Pittsburgh, PA.
Gluck, K. A., & Shute, V. J. (1996, May). Stat Lady meets ACT-R. Demonstration at the First Annual Carnegie Mellon University Symposium on Technology Enhanced Learning, Pittsburgh, PA.
Gluck, K. A., & Lyman, B. J. (1993, May). Influence of Semantic Information on Olfactory Perception. Paper presented at the Annual Meeting of the Southwest Cognition Conference, Arlington, TX.
Professional Leadership and Service
Professional Society Leadership
Editorial Service
Advisory and Scientific Review Service
Conference Leadership and Program Service
Ad Hoc Reviewing
Research agencies and programs: Air Force Office of Scientific Research (AFOSR); Defense Advanced Research Projects Agency (DARPA); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); Office of Naval Research (ONR).
Journals and conferences: Frontiers in Computer Science; Behavior Research Methods; Psychological Review; Psychonomic Bulletin & Review; Cognitive Science; Cognitive Psychology; Cognitive Systems Research; Human-Computer Interaction; Human Factors; Frontiers in Theoretical and Philosophical Psychology; Applied Cognitive Psychology; Annual Meeting of the Cognitive Science Society; Annual Meeting of the Human Factors and Ergonomics Society; Behavior Representation in Modeling and Simulation; Conference on Human-Robot Interaction; International Conference on Cognitive Modeling.