• Media type: E-Article
  • Title: Optimizing Aided Target-Recognition Performance
  • Contributor: Entin, Eileen B.; Entin, Elliot E.; Serfaty, Daniel
  • Published: SAGE Publications, 1996
  • Published in: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 40 (1996) 4, Seite 233-237
  • Language: English
  • DOI: 10.1177/154193129604000419
  • ISSN: 2169-5067; 1071-1813
  • Keywords: General Medicine
  • Origination:
  • Footnote:
  • Description: <jats:p> Combining the capability of an automated target recognition (ATR) system with the expertise of human operators has the potential to improve combined human-machine target-recognition performance. The objective of this work was to develop empirically validated guidelines for the display of information provided by an ATR system. Motivated by the premise that operators will have higher trust in an ATR system that justifies its decisions, this work explored alternative ATR displays that provided different types and amounts of information in support of the system's target decisions. Operators' usage of and preference for the displays were contrasted for low- and high-accuracy simulated ATR systems representative, respectively, of current and future technologies. Performance results suggested that the amount of supporting information that is displayed must be congruent with the ATR system's accuracy. Operators expressed a clear preference for an ATR system that provides a confidence rating for its target decisions. Based on the results design guidelines are suggested for displaying ATR information to help operators balance confidence in their own judgments with trust in the ATR's decisions. </jats:p>