Behavioral dynamics and action selection in a joint action pick-and-place task

Maurice Lamb, Tamara Lorenz, Stephen Harrison, Rachel Kallen, Ali Minai, Michael Richardson

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

5 Citations (Scopus)

Abstract

Many common tasks require or are made more efficient by coordinating with others. In this paper we investigate the coordination dynamics of a joint action pick-and-place task in order to identify the behavioral dynamics that underlie the emergence of human coordination. More precisely, we introduce a task dynamics approach for modeling multi-agent interaction in a continuous pick-and-place task where two agents must decide to work together or alone to move an object from one location to another. Our aims in the current paper are to identify and model (1) the relevant affordance dynamics that underlie the selection of the different action modes required by the task and (2) the trajectory dynamics of each actor's hand movements when moving to grasp, relocate, or pass the object. We demonstrate that the emergence of successful coordination can be characterized in terms of behavioral dynamics models which may have applications for artificial agent design.

Original languageEnglish
Title of host publicationCogSci 2017: Computational foundations of cognition
Subtitle of host publicationProceedings of the 39th Annual Meeting of the Cognitive Science Society
Place of PublicationAustin, Texas
PublisherThe Cognitive Science Society
Pages2506-2511
Number of pages6
ISBN (Electronic)9780991196760
Publication statusPublished - 2017
Externally publishedYes
EventAnnual Meeting of the Cognitive Science Society (39th : 2017) - London, United Kingdom
Duration: 26 Jul 201729 Jul 2017

Conference

ConferenceAnnual Meeting of the Cognitive Science Society (39th : 2017)
Country/TerritoryUnited Kingdom
CityLondon
Period26/07/1729/07/17

Keywords

  • affordances
  • behavioral dynamics
  • decisions
  • dynamical modeling
  • dynamical systems theory
  • joint action
  • multi-agent coordination
  • pick-and-place

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