Developing Responsive And Adaptive Artificial Agents for Team Training.
Employing models of human performance and communication to develop AI technologies for team and command-and-control training systems.
Basic and Applied Research on the Complex Dynamics of Human, Social and Multi-Agent Systems using Advanced Computational Analysis and Modeling Techniques, Wireless and Mobile Behavioral Tracking and Measurement Methods, and VR and AI Technologies.
Employing models of human performance and communication to develop AI technologies for team and command-and-control training systems.
Modelling the perceptual-motor processes that underlie cooperative and competitive human interaction to develop artificial agents capable of human level performance.
Modeling the task dynamics of goal directed social action and coordination
Investigating the weather Virtual Realty Perceptive Taking can increase pro-social behavior and reduce prejudice.
Investigate the positive effects of Social Motor Coordination on Interpersonal Interaction, Rapport and Social Connectedness.
Time-delay coupling and temporal feedback delays can enhance joint-action anticipatory coordination.
Rigoli, L. M., Nalepka, P., Douglas, H., Kallen, R. W., Hosking, S., Best, C., & Richardson, M. J. (2020, May). Employing Models of Human Social Motor Behavior for Artificial Agent Trainers. In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (pp. 1134-1142). [download] |
Rigoli, L. M., Lorenz, T., Coey, C., Kallen, R., Jordan, S., & Richardson, M. J. (2020). Co-actors exhibit similarity in their structure of behavioural variation that remains stable across range of naturalistic activities. Scientific Reports, 10(1), 1-11. [download] |
Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E., & Richardson, M. J. (2019). Human social motor solutions for human–machine interaction in dynamical task contexts. Proceedings of the National Academy of Sciences, 201813164. [download] |
Lamb, M., Nalepka, P., Kallen, R. W., Lorenz, T., Harrison, S. J., Minai, A. A., & Richardson, M. J. (2019). A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human-Agent Pick-and-Place Interactions. Complexity, p1-16, DOI: 10.1155/2019/5964632. [download] |
Hardcastle, V. G., Furst-Holloway, S., Kallen, R., & Jacquez, F. (2019). It’s complicated: a multi-method approach to broadening participation in STEM. Equality, Diversity and Inclusion: An International Journal. 38, 349-361. [download] |
Washburn, A., Kallen, R. W., Lamb, M., Stepp, N., Shockley, K., & Richardson, M. J. (2019). Feedback delays can enhance anticipatory synchronization in human-machine interaction. PloS one, 14(8), e0221275. [download] |
Walton, A., Washburn, A., Langland-Hassan, P., Chemero, A., Kloos, H., & Richardson, M. J. (2018). Creating time: social collaboration in music improvisation. Topics in Cognitive Science, 10, 95-119. [download] |