Impact of Human like Cues on Human Trust in Machines: Brain Imaging and Modeling Studies for Human-Machine Interactions

Abstract

When a human and an intelligent machine work together as a team, human trust can influence performance. Yet, an electrophysiological signature of trust has not been isolated. In order to isolate such a signature, the research team recorded fMRI or event-related potentials while subjects were playing two cognitive games. At the first experiment, human subjects played a theory-of-mind bilateral game with two types of computerized agents: with or without humanlike cues. At the second experiment, human subjects played a unilateral game in which the human subjects played the role of the Coach (or supervisor) while a computer agent played as the Player. Electrophysiological activities in brain regions belonging to the theory-of-mind network correlated with perceived capability, especially when a machine opponent had some human-likeness. In particular, the research shows that activity in the left parietal region correlating with a human players future behavior can be identified as the neural signature of capability-based trust. These results reveal that brain signals underlying trust as influenced by perceived capability and human-likeness might be useful for performance optimization of human-machine systems.

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Document Details

Document Type
Technical Report
Publication Date
Jan 05, 2018
Accession Number
AD1046152

Entities

People

  • Soo-Young Lee

Organizations

  • KAIST

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Air Traffic
  • Artificial Intelligence
  • Brain
  • Computer Science
  • Computers
  • Decision Support Systems
  • High Reliability
  • Human-Machine Interaction
  • Human-Machine Systems
  • Information Processing
  • Information Systems
  • Intelligent Systems
  • Neuroimaging
  • Psychological Theory
  • Test And Evaluation

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Game Theory.
  • Neuroscience