Human-Machine Interaction With Multiple Autonomous Sensors

Abstract

Security and inspection systems are becoming increasingly automated. Many such systems include mobile platforms capable of autonomous sensing and analysis of the environment from a multitude of perspectives. This increased automation shifts the responsibilities of humans from active patrolling and inspection to passive monitoring of remote sensor information. The operator brings perceptual and cognitive characteristics to this task which need to be addressed in both system architecture and interface design if desired performance reliability is to be achieved. A study is reported which examines the impact of these characteristics on system performance.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1995
Accession Number
ADA422501

Entities

People

  • Steven A. Murray

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Autonomous Systems
  • Cognitive Workload
  • Control Systems
  • Detection
  • Detectors
  • Human Factors Engineering
  • Human Supervisory Control
  • Human Systems Integration
  • Human-Machine Interaction
  • Human-Machine Interfaces
  • Human-Machine Systems
  • Motor Skills
  • Psychology
  • Remote Detectors
  • Supervisory Control
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.
  • Sensor Fusion and Tracking Systems.