Audio Cues to Assist Visual Search in Robotic System Operator Control Unit Displays

Abstract

Mission demands have made the robotics collaboration operator control unit (OCU) into a relatively dynamic, demanding, cognitively complex system where Soldiers must perform multiple tasks such as controlling multiple tasks such as controlling multiple robots and processing large amounts of information in environments that sometimes contain high levels of noise. Research and modeling data indicate that audio display technologies would be very useful in OCU applications such as guiding visual display search. The purpose of this study was to examine the effectiveness of the integration of auditory display technologies in visual search tasks such as those that occur in robotic OCUs. Independent variables were audio signal mapping scheme, type of verbal positional cue, and visual target azimuth. Dependent variables were visual target search time and the National Aeronautics and Space Administration Task Load Index workload rating of the target search task. Participants were 36 students (15 males and 21 females) from Harford Community College. The results indicated that the use of auditory signal mapping and verbal positional cues significantly reduced visual display search time and workload and that positional cues mixed with specific audio mappings were the most efficient means of reducing search time. Specific design recommendations are made regarding the use of auditory signals in environments with a narrow field-of-view visual displays.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA441023

Entities

People

  • Christopher C. Stachowiak
  • Ellen C. Haas
  • Michael A. Lattin
  • Ramakrishna S. Pillalamarri

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Aeronautics
  • Air Force
  • Aircrafts
  • Auditory Signals
  • Civil Aviation
  • Cognitive Workload
  • Collision Avoidance Systems
  • Complex Systems
  • Computers
  • Data Analysis
  • Engineering
  • Human Factors Engineering
  • Human-Machine Interaction
  • Three Dimensional
  • Visual Targets
  • Warning Systems
  • Workload

Readers

  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Space
  • Space - Spacecraft Maneuvers