2021-12-15: Physical Collaborative Problem-Solving in Human and Human-Machine Interaction

Опубликовано: 14 Декабрь 2021
на канале: Empathic Computing Lab
500
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Speaker: Patrick Nalepka
Date: 2021-12-15

Title:
Physical Collaborative Problem-Solving in Human and Human-Machine Interaction

Abstract:
Living systems have the extraordinary capacity to structure their activity not only in isolation, but in coordination with other members within larger group structures. The resultant behaviours that emergence at the collective level not only demonstrate key features of self-organizing systems, whereby interactions at the individual level can give rise to qualitatively distinct patterns of collective behaviour, but also illustrate that the patterns of behaviour groups exhibit show similitude spanning biological phylogeny. I investigate corralling and containment behaviours, commonly observed amongst apex predators in group hunting, to study the development of cooperative strategies amongst humans. I will provide an overview of my research including the strategies naïve human dyads discover in a lab-based video game, comparisons to the behaviours observed in non-human systems, and the efficacy of artificial agents in steering the emergence of task-optimal behaviour. I will also provide a preview of the research that is in progress in collaboration with co-members of the Complexity in Action Lab at Macquarie University.


Bio:
My research investigates the perceptual-motor processes that underlie the emergence of problem-solving strategies, roles and behaviors individuals adopt during social interactions (e.g., teacher-learner or group interactions), as well as the role individual and task constraints play in how such behaviors materialize. My research utilizes virtual and augmented reality technologies as well as socially assistive virtual avatars to design interventions to steer individuals to adopt effective patterns of behavior. In addition to understanding human behavior, my research involves understanding how artificial systems can be effectively employed in mixed human-machine teams to enhance group performance and functioning. I received my PhD in Experimental Psychology from the University of Cincinnati's Center for Cognition, Action and Perception. Currently, I am a Research Fellow at Macquarie University in the School of Psychological Sciences.


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