Trust and Trustworthiness in Human-Robot Interaction: A Formal Conceptualization

Abstract

The overarching objective of the effort was to explore the possibility of formally characterizing the concept of trust using tools from interdependence and game theory in complex and dynamic social environments. This effort evaluated algorithms for characterizing trust during interactions between a robot and a human and employed strategies for repairing trust during emergency evacuation scenarios. Our results demonstrate that there is a high correlation between our characterizations of trust in a situation and the judgments of people, that timing is a key element necessary for trust repair, and that people tend to overtrust robots, potentially putting themselves in dangerous situations. We have examined human-robot trust in a variety of simulated and live experiments across several different types of risk including both financial and physical risk. These results generally support the conclusion that people will tend to overtrust robots because they believe that the systems are incapable of failure or capable of performing actions or has knowledge which the system cannot perform or does not have.

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Document Details

Document Type
Technical Report
Publication Date
May 11, 2016
Accession Number
AD1011180

Entities

People

  • Alan R. Wagner

Organizations

  • Georgia Tech Research Institute

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Anxiety Disorders
  • Autonomous Systems
  • Department Of Defense
  • Electronic Mail
  • Employment
  • Failure Mode And Effect Analysis
  • Game Theory
  • Human-Machine Systems
  • Human-Robot Interaction
  • Medical Personnel
  • Robotics
  • Robots
  • Smoke Detectors
  • Traumatic Stress Disorder

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction