The effects of time limitations on target identification

Peerly Setter, Hadas Marciano, Joel Norman, Major Michal Hovev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motivation - Aiming at making image interpretation more efficient, we studied the effects of limiting exposure durations on performance. Research approach - Two psychophysical experiments were performed examining the performance of 36 expert image analysts. The targets were presented at three image quality levels. Findings - The results suggest that limiting the exposure duration of an image to four seconds does not impair the performance of the analysts, i.e., four seconds suffice for identification in an the image interpretation task, no matter what the quality of the image. Research Implications - This finding suggests that limiting the exposure duration during actual image interpretation would be beneficial since it would shorten the total amount of time needed for interpretation while not lowering the probability of correct identification. Take away message - Sometimes unlimited time is not necessary in order to obtain the best results. When someone is an expert at what s/he does, making a quick decision might yield equivalent outcomes.

Original languageEnglish
Title of host publicationECCE 2007 - European Conference on Cognitive Ergonomics
Subtitle of host publicationInvent Explore
Pages301-302
Number of pages2
DOIs
StatePublished - 2007
Event25th Anniversary Conference of the European Association for Cognitive Ergonomics, EACE - London, United Kingdom
Duration: 28 Aug 200731 Aug 2007

Publication series

NameACM International Conference Proceeding Series
Volume250

Conference

Conference25th Anniversary Conference of the European Association for Cognitive Ergonomics, EACE
Country/TerritoryUnited Kingdom
CityLondon
Period28/08/0731/08/07

Keywords

  • identification
  • image interpretation
  • intuitive decision making
  • limited exposure duration

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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