Attention and Trust Biases in the Design of Augmented Reality Displays

Abstract

This experiment seeks to examine the relationship between three advanced technology features (presentation of target cueing - and the reliability of that data, image reality, and interactivity) and the attention and trust provided to that information. In particular, we investigate the nature of two sorts of biases: an attention bias, in which the operator focuses attention to an area highlighted by the automation at the expense of other areas of the visual scene, and a trust bias, in which unwarranted attention is given to the guidance information. Sixteen military personnel searched for targets camouflaged in terrain, presented at two levels of scene detail (manipulated by varying the number of polygons with which the scene was generated and the level of the detail with which the scene was textured) while performing a terrain association task. Half the subjects actively navigated through the terrain; the other half passively viewed the control path of an active navigator. Cueing was presented for some of the targets, and the reliability of this information was manipulated at two levels (100% and 75%). More importantly, there were objects in the environment that were of high priority and uncued, and detection of these targets provided an assessment as to the degree of an operator's reliance on the cueing information. To assess trust in the terrain simulation, subjects were asked to perform terrain association given a hand-held paper map and report any inconsistencies between the visualization and the map. The results showed that the presence of cueing aided the target detection task for expected targets but drew attention away from the presence of unexpected targets in the environment. Cueing benefits and attentional tunneling were both reduced when cueing became less reliable.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2000
Accession Number
ADA440368

Entities

People

  • Christopher Dow Wickens
  • Michelle Yeh

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Augmented Reality
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Control Systems
  • Detectors
  • Human Factors Engineering
  • Human Systems Integration
  • Human-Computer Interaction
  • Human-Machine Interaction
  • Human-Machine Systems
  • Information Processing
  • Information Systems
  • Personnel Management
  • Psychology
  • Target Recognition
  • Virtual Reality
  • Warning Systems

Readers

  • Computer Vision.
  • Human-Computer Interaction (HCI).
  • Sensor Fusion and Tracking Systems.