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Influence of Time Pressure on Successive Visual Searches.

Alejandro J Cambronero-Delgadillo1, Christof Körner1, Iain D Gilchrist2

  • 1Department of Psychology, University of Graz, 8010 Graz, Austria; christof.koerner@uni-graz.at (C.K.); ma.hoefler@uni-graz.at (M.H.).

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Time pressure impacts visual search, decreasing accuracy in later tasks. Participants prioritized the first target under time constraints, highlighting challenges in time-sensitive performance optimization.

Keywords:
eye movementseye trackinginterruptiontime pressurevisual search

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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Experimental Psychology

Background:

  • Understanding how time pressure affects visual search is crucial for optimizing performance in time-sensitive environments.
  • Oculomotor behavior provides insights into the strategies employed during visual search tasks.

Purpose of the Study:

  • To investigate the influence of time pressure on visual search performance and oculomotor behavior.
  • To examine how participants adapt their search strategies under increasing time constraints.

Main Methods:

  • An eye-tracking experiment was conducted with participants performing two consecutive time-pressured visual searches.
  • Participants searched for a T-shaped target among L-shaped distractors in displays of fifteen items.
  • The option to self-interrupt the first search (Search 1) to proceed to the second (Search 2) was provided.

Main Results:

  • High search accuracy was maintained in Search 1, but declined in Search 2 as time pressure increased.
  • Time pressure resulted in fewer fixations and faster overall response times.
  • Fixation durations were longer and saccade amplitudes shorter in Search 2 compared to Search 1.

Conclusions:

  • Time pressure leads to prioritization of the first target when targets have equal value.
  • Performance optimization in time-sensitive tasks presents significant challenges.
  • Findings highlight the trade-offs between speed and accuracy under time constraints.