Crazy for you! Understanding Utility in Joint Actions

Arianna Curioni, Pavel Voinov, Matthias Allritz, Josep Call, Gunther Klaus Knoblich

Research output: Contribution to conference typesPaperpeer-review

Abstract (may include machine translation)

Predicting others' actions and inferring preferences from their choices is indispensable for successfully navigating social environments. Yet, the cognitive tools agents employ for prediction and decision may differ when involved in social interactions. When pursuing a goal individually, humans maximize utility by minimizing costs, while when engaged in joint actions utility maximization might not be the only heuristic in place. We investigate if human adults represent costs and rewards of joint vs. individual actions, and how do they decide whether to engage in a joint action. We test participants' decisions when solving a task alone or together with a partner as a function of the cost of coordination. Our results show that human adults decide based on a preference for joint actions, despite engaging in coordination reduces their individual utility. We discuss a framework for decision-making which accounts for cognitive heuristics and preferences for joint actions characterizing agents' cooperative behavior.

Original languageEnglish
Pages3268-3274
Number of pages7
StatePublished - 2020
Event42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020 - Virtual, Online
Duration: 29 Jul 20201 Aug 2020

Conference

Conference42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020
CityVirtual, Online
Period29/07/201/08/20

Keywords

  • coordination
  • decision
  • joint action
  • utility

Fingerprint

Dive into the research topics of 'Crazy for you! Understanding Utility in Joint Actions'. Together they form a unique fingerprint.

Cite this