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Related Experiment Videos

What controls attention in natural environments?

H Shinoda1, M M Hayhoe, A Shrivastava

  • 1Center for Visual Science, University of Rochester, Rochester, NY 14627, USA. hshinoda@se.ritsumei.ac.jp

Vision Research
|November 24, 2001
PubMed
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Vision is an active process, with top-down control influencing how we gather visual information. Drivers actively search for important cues like stop signs, with search frequency guided by learned environmental patterns.

Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Human vision is fundamentally active, not passive.
  • Top-down processing significantly influences visual information acquisition.
  • Understanding control mechanisms for task-specific visual computations is crucial, especially in dynamic environments.

Purpose of the Study:

  • To investigate drivers' ability to detect stop signs under restricted visibility conditions.
  • To explore the role of instructions and visual context in sign detection.
  • To understand how learned environmental probabilities influence visual search behavior.

Main Methods:

  • Utilized a virtual driving environment.
  • Manipulated the visibility duration of stop signs.

Related Experiment Videos

  • Analyzed detection performance based on varying instructions and local visual context.

    • Main Results:

    • Stop sign detection was significantly modulated by both explicit instructions and surrounding visual cues.
    • Visibility of stop signs depends on active visual search.
    • The frequency of this active search is influenced by the driver's learned knowledge of the environment's probabilistic structure.

    Conclusions:

    • Drivers engage in active visual search, guided by top-down processes and learned environmental regularities.
    • Effective visual information acquisition in dynamic settings like driving relies on context-dependent, goal-directed attention.
    • Future research should focus on the neural mechanisms underlying the initiation of these task-specific visual computations.