To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task
Humans commonly engage in tasks that require or are made more efficient by coordinating with other humans. In this paper we introduce a task dynamics approach for modeling multi-agent interaction and decision making in a pick and place task where an agent must move an object from one location to ano...
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doaj-5f5671b40d994591a6a3c1b3cabb1e022020-11-24T23:44:51ZengFrontiers Media S.A.Frontiers in Psychology1664-10782017-06-01810.3389/fpsyg.2017.01061248628To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place TaskMaurice Lamb0Rachel W. Kallen1Steven J. Harrison2Mario Di Bernardo3Mario Di Bernardo4Ali Minai5Michael J. Richardson6Center for Cognition, Action and Perception, University of CincinnatiCincinnati, OH, United StatesCenter for Cognition, Action and Perception, University of CincinnatiCincinnati, OH, United StatesDepartment of Kinesiology, University of ConnecticutConnecticut, CT, United StatesDepartment of Electrical Engineering and Information Technology, University of Naples Federico IINaples, ItalyDepartment of Engineering Mathematics, University of BristolBristol, United KingdomDepartment of Electrical Engineering and Computing Science, University of CincinnatiCincinnati, OH, United StatesCenter for Cognition, Action and Perception, University of CincinnatiCincinnati, OH, United StatesHumans commonly engage in tasks that require or are made more efficient by coordinating with other humans. In this paper we introduce a task dynamics approach for modeling multi-agent interaction and decision making in a pick and place task where an agent must move an object from one location to another and decide whether to act alone or with a partner. Our aims were to identify and model (1) the affordance related dynamics that define an actor's choice to move an object alone or to pass it to their co-actor and (2) the trajectory dynamics of an actor's hand movements when moving to grasp, relocate, or pass the object. Using a virtual reality pick and place task, we demonstrate that both the decision to pass or not pass an object and the movement trajectories of the participants can be characterized in terms of a behavioral dynamics model. Simulations suggest that the proposed behavioral dynamics model exhibits features observed in human participants including hysteresis in decision making, non-straight line trajectories, and non-constant velocity profiles. The proposed model highlights how the same low-dimensional behavioral dynamics can operate to constrain multiple (and often nested) levels of human activity and suggests that knowledge of what, when, where and how to move or act during pick and place behavior may be defined by these low dimensional task dynamics and, thus, can emerge spontaneously and in real-time with little a priori planning.http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01061/fullbehavioral dynamicsaffordance dynamicsjoint-actionpick and placedynamical systems theory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maurice Lamb Rachel W. Kallen Steven J. Harrison Mario Di Bernardo Mario Di Bernardo Ali Minai Michael J. Richardson |
spellingShingle |
Maurice Lamb Rachel W. Kallen Steven J. Harrison Mario Di Bernardo Mario Di Bernardo Ali Minai Michael J. Richardson To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task Frontiers in Psychology behavioral dynamics affordance dynamics joint-action pick and place dynamical systems theory |
author_facet |
Maurice Lamb Rachel W. Kallen Steven J. Harrison Mario Di Bernardo Mario Di Bernardo Ali Minai Michael J. Richardson |
author_sort |
Maurice Lamb |
title |
To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task |
title_short |
To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task |
title_full |
To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task |
title_fullStr |
To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task |
title_full_unstemmed |
To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task |
title_sort |
to pass or not to pass: modeling the movement and affordance dynamics of a pick and place task |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Psychology |
issn |
1664-1078 |
publishDate |
2017-06-01 |
description |
Humans commonly engage in tasks that require or are made more efficient by coordinating with other humans. In this paper we introduce a task dynamics approach for modeling multi-agent interaction and decision making in a pick and place task where an agent must move an object from one location to another and decide whether to act alone or with a partner. Our aims were to identify and model (1) the affordance related dynamics that define an actor's choice to move an object alone or to pass it to their co-actor and (2) the trajectory dynamics of an actor's hand movements when moving to grasp, relocate, or pass the object. Using a virtual reality pick and place task, we demonstrate that both the decision to pass or not pass an object and the movement trajectories of the participants can be characterized in terms of a behavioral dynamics model. Simulations suggest that the proposed behavioral dynamics model exhibits features observed in human participants including hysteresis in decision making, non-straight line trajectories, and non-constant velocity profiles. The proposed model highlights how the same low-dimensional behavioral dynamics can operate to constrain multiple (and often nested) levels of human activity and suggests that knowledge of what, when, where and how to move or act during pick and place behavior may be defined by these low dimensional task dynamics and, thus, can emerge spontaneously and in real-time with little a priori planning. |
topic |
behavioral dynamics affordance dynamics joint-action pick and place dynamical systems theory |
url |
http://journal.frontiersin.org/article/10.3389/fpsyg.2017.01061/full |
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