Patrick Nalepka
Papers
9
Total Citations
122
H-Index
5
About
Patrick Nalepka is a leading researcher in human-machine interaction and multiagent coordination, with a focus on designing artificial agents that naturally integrate into collaborative tasks. His work bridges cognitive science, robotics, and dynamical systems, exploring how humans and machines can achieve efficient, adaptive teamwork. Nalepka’s most cited paper (77 citations) examines human social motor solutions for human-machine interaction in dynamic contexts, highlighting how multiagent activity enhances behavioral efficiency. He has developed bio-inspired artificial agents that replicate human coordination dynamics, demonstrated in herding and pick-and-place tasks, and investigated the role of agent appearance and intentional stance in joint attention. His research on conversation dynamics in multiplayer video games and the DesertWoZ platform for collaborative conversational agents advances understanding of remote teamwork and virtual training. With over 120 total citations, Nalepka’s contributions are shaping the future of human-robot collaboration, offering practical applications for health, sport, and industry. His work is notable for its interdisciplinary approach, combining empirical studies with computational models to create naturally adaptive systems that improve human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Conversation dynamics in a multiplayer video game with knowledge asymmetry10 citations · 2022
- 4
- 5
- 6A Bio-Inspired Artificial Agent to Complete a Herding Task with Novices3 citations · 2016
- 7
- 8
- 9A Bio-Inspired Artificial Agent to Complete a Herding Task with Novices2 citations · 2016