Automation Biases in Human-Robot Trust Interactions

Abstract

This final report summarizes the examination of possible human biases in trust between human-human and human-robot teaming. The studies found humans do hold biases against robot partners. Specifically, robot partners were suffered greater trustworthiness declinations after a trust violation than did human partners but only when lower trustworthiness could be ascribed to specific aspects. That is, there were differences between the types of manipulation, such that performance/ability violations were much stronger than benevolence or integrity violations. Additionally, the perfect automation schema (PAS) construct significantly predicted slope variance in benevolence perceptions following a trust violation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2021
Accession Number
AD1159286

Entities

People

  • Gene M. Alarcon

Organizations

  • 711th Human Performance Wing

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Cognitive Systems Engineering
  • Control Systems
  • Decision Support Systems
  • Engineers
  • Human Behavior
  • Human Factors Engineering
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Systems
  • Human-Robot Interaction
  • Information Processing
  • Information Science
  • Motor Skills
  • Psychology
  • Robotics
  • Virus Diseases

Fields of Study

  • Psychology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

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