Re-examining the Trust in Autonomy (TIA) Scale as Trust and Distrust Factors

Abstract

This report describes an exploratory factor analysis (EFA) of the Jian et al. Trust in Automation questionnaire and re-analysis of human-machine trust data using a two-factor model of the items (Jian J-Y, Bisantz AM, Drury CG. Foundations for an empirically determined scale of trust in automated systems. Int J Cogn Ergon. 2000;4(1):5371). The purpose was to examine the degree to which two distinct factors--separately measuring trust and distrust--were identifiable. Data was gathered from six similar experiments that all used the questionnaire. Two datasets were created for analysis: a dataset wherein there is one data point for each participant (Single, N = 91), and a dataset that included repeated submissions by each participant (Full, N = 503). First, an EFA was performed to determine the robustness of the two factors. After verifying the two factors, we reanalyzed an existing dataset that examined trust based on levels of transparency when interacting with an agent. We show how separating out the trust and distrust subcomponents of the Jian et al. questionnaire can provide additional insights into human-machine teaming research.

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Document Details

Document Type
Technical Report
Publication Date
Feb 21, 2024
Accession Number
AD1221854

Entities

People

  • Gita Sukthankar
  • Joshua Foldes
  • Julia L Wright
  • Stephen M. Fiore

Organizations

  • United States Army Research Laboratory
  • University of Central Florida

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Regression Analysis.
  • Systems Analysis and Design