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Related Experiment Video

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Recognizing dynamic scenes: influence of processing orientation.

Markus Huff1, Stephan Schwan, Bärbel Garsoffky

  • 1Department of Psychology, University of Tübingen, Germany. markus.huff@uni-tuebingen.de

Perceptual and Motor Skills
|June 15, 2011
PubMed
Summary
This summary is machine-generated.

Instructions can impair visual recognition of dynamic scenes by shifting focus from global to local processing. This study confirms that directed attention reduces overall scene recognition performance.

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Area of Science:

  • Cognitive Psychology
  • Visual Perception
  • Human-Computer Interaction

Background:

  • Face recognition studies show instructions alter stimulus processing, impairing performance.
  • Visual recognition of dynamic scenes is susceptible to attentional focus.

Purpose of the Study:

  • To investigate how instructions influence the visual recognition of dynamic scenes.
  • To test the hypothesis that global processing yields optimal recognition, while local processing (instruction-induced) impairs it.

Main Methods:

  • Participants were presented with dynamic visual scenes.
  • Instructions were manipulated to direct attention towards global or local features.
  • Recognition performance was measured under different instructional conditions.

Main Results:

  • A global processing orientation, without specific instructions, resulted in the highest recognition performance.
  • Instructions focusing attention on specific event characteristics led to a local processing orientation.
  • This local processing orientation directly corresponded with an impairment in visual recognition performance.

Conclusions:

  • Instructional focus significantly impacts visual recognition of dynamic scenes.
  • Global processing is superior for overall scene recognition compared to instruction-driven local processing.
  • Findings support the hypothesis and have implications for understanding attentional effects on perception.