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TitleNeuro-cognitive mechanisms of decision making in joint action: A human-robot interaction study
Author(s)Bicho, E.
Erlhagen, Wolfram
Louro, Luís
Silva, Eliana Oliveira Costa
KeywordsMotor planning
Decision making
Dynamic neural fields
Joint action
Human-robot interaction
Human-robot collaboration
Issue date3-Jan-2011
JournalHuman Movement Science
Citation"Human Movement Science". ISSN 0167-9457. (Jan. 2011)
Abstract(s)In this paper we present a model for action preparation and decision making in cooperative tasks that is inspired by recent experimental findings about the neurocognitive mechanisms supporting joint action in humans. It implements the coordination of actions and goals among the partners as a dynamic process that integrates contextual cues, shared task knowledge and predicted outcome of others’ motor behavior. The control architecture is formalized by a system of coupled dynamic neural fields representing a distributed network of local but connected neural populations. Different pools of neurons encode task-relevant information about action means, task goals and context in the form of self-sustained activation pat- terns. These patterns are triggered by input from connected populations and evolve continuously in time under the influence of recurrent interactions. The dynamic model of joint action is evaluated in a task in which a robot and a human jointly construct a toy object. We show that the highly context sensitive mapping from action observation onto appropriate complementary actions allows coping with dynamically changing joint action situations.
Publisher version
AccessOpen access
Appears in Collections:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals
DEI - Artigos em revistas internacionais

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