Peoples Biased Decisions to Trust and Cooperate with Agents that Express Emotions

Abstract

Research in the behavioral sciences shows that emotion expressions impact people's decisions to trust and cooperate with others in situations where self and collective interests collide. Building on such findings, computer scientists have shown that emotion expressions in agents can also impact people's decision making. However, recent findings in neuroeconomics reveal that people systematically show different behavior and brain activation patterns in decision making tasks with computers, when compared to humans. These findings suggest a bias people might have with respect to autonomous agents and, in particular, agents that express emotions. To clarify this, the paper presents a novel experiment where participants engaged in the iterated prisoner's dilemma, for clear financial stakes, with counterparts, either agents or humans, that showed facial displays of emotion that were compatible with a cooperative (e.g., smile after mutual cooperation) or competitive (e.g., smile after exploiting the participant) goal orientation. The results showed that participants cooperated, as expected, more with cooperative than competitive counterparts but, also revealed that people trusted and cooperated more with a human that showed cooperative displays than an agent that showed the exact same displays. We discuss implications of such a bias for trust and cooperation in human-agent interaction.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2018
Accession Number
AD1159390

Entities

People

  • Celso M de Melo
  • Jonathan Gratch
  • Peter J. Carnevale

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Autonomous Agents
  • Behavioral Sciences
  • Brain
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computer Programs
  • Computer Science
  • Computers
  • Cooperation
  • Economics
  • Human Behavior
  • Human-Computer Interaction
  • Information Systems
  • New York
  • Psychology
  • Psychophysiology
  • Social Psychology
  • Virtual Reality

Fields of Study

  • Psychology

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • International Relations and European Studies
  • Organizational Psychology.