• 30 Citations
  • 3 h-Index
20152020
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Personal profile

Biography

Dr. Patrick Nalepka received his PhD in Experimental Psychology from the University of Cincinnati within the Center for Cognition, Action and Perception. During graduate study, Dr. Nalepka's research focused on investigating the perceptual-motor processes that underlie the emergence of stable coordinative patterns in complex and dynamic multiagent task contexts, as well as the role constraints play in how such patterns materialize. Since joining Macquarie, his focus has been on investigating the effects embodied artificial-agents (e.g., virtual avatars, robots) have in mixed human-artificial agent teams for coordination, and how such artificial systems should be used to enhance human skill acquisition in perceptual-motor tasks undergoing continual perturbations. Dr. Nalepka's research utilizes nonlinear time-series analyses, dynamical modeling, reinforcement and machine learning, and virtual reality technology.

Research interests

Multiagent Interaction; Coordination Dynamics; Ecological Psychology; Human-Machine Interaction; Complex Adaptive Systems

Research engagement

International Research Collaborators

University of Cincinnati
Cincinnati Children's Hospital Medical Center

Teaching

(2016) Sensation & Perception (University of Cincinnati, Instructor)

Community engagement

Media Mentions of Research

(2016) Research on goal-directed multiagent "shepherding" referenced on the Brain Science podcast, Ep. 123

(2015) Research referenced on WCPO Cincinnati titled “Checkups: Concussions, teens and cars – when is it safe to drive again?"

(2015) Research referenced on WCPO Cincinnati titled “Studying effects of concussions on teen drivers.”

Education/Academic qualification

Psychology, PhD, University of Cincinnati

27 Aug 201331 Jan 2018

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Projects 2019 2020

Research Outputs 2015 2019

  • 30 Citations
  • 3 h-Index
  • 7 Article
  • 6 Conference proceeding contribution

Herd those sheep: emergent multiagent coordination and behavioral-mode switching

Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E. & Richardson, M. J., 1 May 2017, In : Psychological Science. 28, 5, p. 630-650 21 p.

Research output: Contribution to journalArticleResearchpeer-review

Sheep

A hierarchical behavioral dynamic approach for naturally adaptive human-agent pick-and-place interactions

Lamb, M., Nalepka, P., Kallen, R. W., Lorenz, T., Harrison, S. J., Minai, A. A. & Richardson, M. J., 2019, In : Complexity. 2019, p. 1-16 16 p., 5964632.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
File
Human robot interaction
Dynamic models
Robotics
Glass

Human social motor solutions for human-machine interaction in dynamical task contexts

Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E. & Richardson, M. J., 22 Jan 2019, In : Proceedings of the National Academy of Sciences. 116, 4, p. 1437-1446 10 p.

Research output: Contribution to journalArticleResearchpeer-review

Sports
Robotics
Health
Industry

Practical applications of multiagent shepherding for human-machine interaction

Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E. & Richardson, M. J., 2019, Advances in practical applications of survivable agents and multi-agent systems: The PAAMS Collection - 17th International Conference, PAAMS 2019, Proceedings. Corchado, J. M., De la Prieta, F., Matson, E. & Demazeau, Y. (eds.). Switzerland: Springer, Springer Nature, p. 168-179 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11523 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Human-machine Interaction
Autonomous agents
Multi agent systems
Robotics
Human

Variable and intermittent grip force control in response to differing load force dynamics

Grover, F. M., Nalepka, P., Silva, P. L., Lorenz, T. & Riley, M. A., Mar 2019, In : Experimental Brain Research. 237, 3, p. 687–703 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Hand Strength
Hand
Brain