Elizabeth Veinott

Contact

eveinott@mtu.edu
906-487-2171
Meese Center 204

Associate Professor, Psychology and Human Factors
Affiliated Associate Professor, Computer Science
Director, Center for Human-Centered Computing

PhD, Cognitive Psychology, University of Michigan 2002
MS, I/O Psychology, San Francisco State University
BA, Psychology, Stanford University

Biography

I am a cognitive psychologist who focuses on two main areas of research: decision making and learning using serious video games. My decision research focuses on individual and team decision making and collaboration in laboratory and field environments. I have developed and validated processes for improving decision making and planning in groups in disaster response and other high risk environments. Since 2011, I have focused on empirical video-game research to design, develop, and evaluate video games for improving specific critical thinking skills (e.g., mitigating cognitive biases, perspective taking). I am expanding that research to examine the use of video-game technologies for improving learning in STEM areas with college and K-12 students. I bring 15 years of experience in industry and government research labs doing human-factors research. I worked as a principal scientist in an R&D engineering company and as a contractor at NASA Ames in the Human Performance Lab. My research has been funded by IARPA, DARPA, AFRL, and the Army Research Institute.

Links of Interest

Research Interests

Decision Making
Problem Solving
Learning and Video Games for STEM
CSCW
Structured Analytic Techniques

Selected Recent Publications

Estes, J., Baker, K., Roose, K. & Veinott, E.S. (submitted) Creativity and Problem Solving in Video Games: Does game play improve creativity? Association for Psychological Science. Chicago, IL.
Khaewratana, W., Veinott, E. S., Mueller, S. T. (2022, Mar). Elaborating on Word Games for STEM: Experimental Evidence. American Educational Research Association Annual Conference. San Diego, CA.
Veinott, E.S., Linja, A., Nelson, D, Lataula, P. (2021, April). Improving Rail Safety at Cognitively complex intersections: Examining the effect of short-storage crossings on driver precrash behavior and incident outcome. Proceedings of the 2021 Joint Rail Conference, St. Louis, MS. Federal Rail Administration.
Mueller, S. T., Veinott, E. S., Hoffman, R. R., Klein, G., Alam, L., Mamun, T., & Clancey, W. J. (2021). Principles of Explanation in Human-AI Systems. AAAI, arXiv preprint arXiv:2102.04972.
Roose, K. M. and Veinott. E.S. (2021, June). Understanding Game Roles and Strategy Using a Mixed Methods Approach. In ETRA '21: 2021 Symposium on Eye Tracking Research and Applications (ETRA '21 Short Papers), May 25–27, 2021, Virtual Germany. ACM, New York, NY. USA 5 pages. https://doi.org/10.1145/3448018.3458006
Veinott, E.S. (2021, July). Adaptive Collaborative Intelligence: Key Strategies for Sensemaking in the Wild. In International Conference on Human-Computer Interaction. In: Stephanidis C. et al. (eds) HCI International 2021 - (pp 1121-1129). HCII 2021. Lecture Notes in Computer Science, vol 13096. Springer, Cham.
Trewhitt, E. B., Whitaker, E. T., Veinott, E., Thomas, R., Riley, M., McDermott, A. F., ... & Guarino, S. (2021, July). HyWorM: An Experiment in Dynamic Improvement of Analytic Processes. In: Sottilare R.A., Schwarz J. (eds) Adaptive Instructional Systems. Design and Evaluation. HCII 2021. Lecture Notes in Computer Science, vol 12792. (pp. 311-320). Springer, Cham. https://doi.org/10.1007/978-3-030-77857-6_21
Linja, A., Lataula, P., Nelson, D., & Veinott, E.S (2020, Oct). Understanding driver behaviors: Examining the effect of crossing type and experience on safety concerns. Presented at the Annual Human Factors and Ergonomics Society Meeting, Chicago, IL. HFES.
Keysor, E., Wojtyna, A., Veinott, E.S. (2020, Dec). Looking forward or looking back: Examining the effect of perspective and collaboration on plan confidence and forecasts. Poster presented at the Society for Judgment and Decision Making, Virtual, Washington, D.C.
Roose, K. M., & Veinott, E. S. (2020, December). Leveling Up: Using the Tracer Method to Address Training Needs for Esports Players. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting(Vol. 64, No. 1, pp. 1780-1784). Sage CA: Los Angeles, CA: SAGE Publications.
Tan, Y., Meadows, L., Meyer, M & Veinott, E.S. (2020, Aug). Challenges for Learning and Lab Work: Student and Faculty Perspectives from the COVID-19 Transition for a Mid-Sized STEM University. Presented at Learning @ Scale Conference. ACM.
Veinott, E. S & Whitaker, E. (2019 July) Leaving Hints: Using Player In-Game Hints to Measure and Improve Learning. In International Conference on Human-Computer Interaction(pp. 222-230). Springer, Cham.
Pamplin, J., Nemeth, C. P., Serio-Melvin, M. L., Murray, S. J., Rule, G. T., Veinott, E. S., ... & Salinas, J. (2019). Improving Clinician Decisions and Communication in Critical Care Using Novel Information Technology. Military Medicine. doi: 10.1093/milmed/usz151.
Whitaker, E., Trewhitt, E., & Veinott, E. S. (2019, July). Intelligent Tutoring Design Alternatives in a Serious Game. In Sottilare R., Schwarz J. (Eds.) First international conference for Adaptive Instructional Systems as part of HCII 2019.(pp. 151-165). Springer, Cham. https://doi.org/10.1007/978-3-030-22341-0_13. ISBN 978-3-030-22341-0
Roose, K. and Veinott, E. (2017, October). Roller coaster park manager by day problem solver by night: Effect of video game play on problem solving. In Extended Abstracts Publication of the Annual Symposium on Computer-Human Interaction in Play (pp. 277-282). ACM. Amsterdam, Netherlands.
Peabody, M. & Veinott, E.S. (2017). Focus shift: Differences in reasons generated using Premortem and Worst Case Scenario plan evaluation methods. Presented at the13th Naturalistic Decision Making, Bath, UK.
Mueller, S. T., Perelman, B. S., & Veinott, E. S. (2015). An optimization approach for mapping and measuring the divergence and correspondence between paths. Behavior Research Methods, 1-19.
Veinott, E,.Leonard, J.,Papautsky, E., Perleman, B., Stankovic, A. Lorince, J. Hotaling, J, Ross, T., Mayell, S. Todd, P. Busemeyer, J., Castronova, E. Hale, C. Catrambone, R., Whitaker,E., Fox, O., Flach, J., Hoffman, R. (2013) The effect of 3rd person perspective and session duration on training decision making in a serious video game. In Games Innovation Conference (IGIC), 2013 IEEE International (pp. 256-262). IEEE. Vancouver, BC.