Developing Human-Machine Interfaces to Support Appropriate Trust and Reliance on Automated Combat Identification Systems

Abstract

This research tested the effects of system reliability information and interface features on human trust and reliance on individual combat ID systems. Experiment I showed that participants had difficulty in estimating the reliability of the 'unknown' feedback from these systems. Providing the reliability information led to appropriate reliance on that feedback. Experiment II showed that participants' trust in the 'unknown' feedback was influenced by the system's activation mode and the 'unknown' feedback form, but their reliance on unknown feedback was not affected. In addition, a new method was proposed to measure reliance on automation. This measure was used effectively in both experiments, and demonstrated several advantages over previous methods. Finally, implications for the design of interfaces for individual combat ID systems and the training of infantry soldiers were drawn from the results of the studies.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2007
Accession Number
ADA477176

Entities

People

  • Greg A. Jamieson
  • Lu Wang

Organizations

  • University of Toronto

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Engineered Resilient Systems
  • Human Systems

DTIC Thesaurus Topics

  • Cognition
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computational Science
  • Computer Science
  • Computers
  • Control Systems
  • Detection
  • Experimental Design
  • Human Factors Engineering
  • Human-Machine Interfaces
  • Identification Systems
  • Industrial Engineering
  • Psychology
  • Students
  • Surveys
  • Warfare

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.