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Incomplete information about the partner affects the development of collaborative strategies in joint action.

Chackochan, V. T. and Sanguineti, V., 2019. Incomplete information about the partner affects the development of collaborative strategies in joint action. PLoS Computational Biology, 15 (12), e1006385.

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DOI: 10.1371/journal.pcbi.1006385

Abstract

Physical interaction with a partner plays an essential role in our life experience and is the basis of many daily activities. When two physically coupled humans have different and partly conflicting goals, they face the challenge of negotiating some type of collaboration. This requires that both participants understand their partner's state and current actions. But, how would the collaboration be affected if information about their partner were unreliable or incomplete? We designed an experiment in which two players (a dyad) are mechanically connected through a virtual spring, but cannot see each other. They were instructed to perform reaching movements with the same start and end position, but through different via-points. In different groups of dyads we varied the amount of information provided to each player about his/her partner: haptic only (the interaction force perceived through the virtual spring), visuo-haptic (the interaction force is also displayed on the screen), and partner visible (in addition to interaction force, partner position is continuously displayed on the screen). We found that incomplete information about the partner affects not only the speed at which collaboration is achieved (less information, slower learning), but also the actual collaboration strategy. In particular, incomplete or unreliable information leads to an interaction strategy characterized by alternating leader-follower roles. Conversely, more reliable information leads to more synchronous behaviors, in which no specific roles can be identified. Simulations based on a combination of game theory and Bayesian estimation suggested that synchronous behaviors correspond to optimal interaction (Nash equilibrium). Roles emerge as sub-optimal forms of interaction, which minimize the need to account for the partner. These findings suggest that collaborative strategies in joint action are shaped by the trade-off between the task requirements and the uncertainty of the information available about the partner.

Item Type:Article
ISSN:1553-7358
Additional Information:Funding: The work is partly supported by a grant (ModuLimb) from the Italian Ministry of Education, University and Research (MIUR) - Research Projects of National Interest (PRIN). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Group:Faculty of Science & Technology
ID Code:33225
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:13 Jan 2020 12:29
Last Modified:13 Jan 2020 12:29

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