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2019 | OriginalPaper | Buchkapitel

Practical Applications of Multiagent Shepherding for Human-Machine Interaction

verfasst von : Patrick Nalepka, Rachel W. Kallen, Anthony Chemero, Elliot Saltzman, Michael J. Richardson

Erschienen in: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection

Verlag: Springer International Publishing

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Abstract

The shepherding problem is interesting for multiagent systems research as it requires multiple actors (e.g., dogs, humans) to exert indirect control over autonomous agents (e.g., sheep, cattle) for containment or transportation. Accordingly, plenty of research has focused on designing algorithms for robotic agents to solve such tasks. Almost no research, however, has utilized this task to investigate human-human or human-machine interactions, even though the shepherding problem encapsulates desirable qualities for an experimental paradigm to investigate the dynamics of human group and mixed-group coordination in complex tasks. This paper summarizes our recent research that has employed the shepherding problem to study complex multiagent human-human and human-machine interaction. The paper concludes with a discussion of practical applications for using the shepherding problem for the design of assistive agents that can be incorporated into human groups or enhance training and human learning.

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Titel: Practical Applications of Multiagent Shepherding for Human-Machine Interaction
verfasst von: Patrick Nalepka
Rachel W. Kallen
Anthony Chemero
Elliot Saltzman
Michael J. Richardson
Verlag: Springer International Publishing
Buch: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection
Print ISBN: 978-3-030-24208-4

Electronic ISBN: 978-3-030-24209-1

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-24209-1_14

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