A Process Model of Trust in Automation: A Signal Detection Theory Based Approach

Abstract

This paper discusses the first experiment in a series designed to systematically understand the different characteristics of an automated system that lead to trust in automation. We also discuss a simple process model, which helps us understand the results. Our experimental paradigm suggests that participants are agnostic to the automation s behavior; instead, they merely focus on alarm rate. A process model suggests this is the result of a simple reward structure and a non-explicit cost of trusting the automation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2014
Accession Number
ADA618894

Entities

People

  • J. Gregory Trafton
  • Jorge Zuniga
  • Malcolm Mccurry

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Abstracts
  • Adaptive Control Systems
  • Adaptive Systems
  • Automation
  • Cognition
  • Control Systems
  • Detection
  • Errors
  • False Alarms
  • Information Processing
  • Learning
  • Military Research
  • Reaction Time
  • Signal Detection
  • Switches
  • Switching
  • Warning Systems

Readers

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