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Visualizing Visual Adaptation
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Does prior knowledge increase or decrease perceived visual complexity of texture images?

Liang Li1, Woong Choi2

  • 1College of Information Science and Engineering, Ritsumeikan University, Kusatsu 525-8577, Japan.

Heliyon
|May 8, 2023
PubMed
Summary
This summary is machine-generated.

Prior knowledge can surprisingly increase perceived visual complexity in images, especially when cues suggest 3D or dynamic content. This effect highlights how information, even verbal, influences image perception and complexity.

Keywords:
Prior knowledgeVisual complexityVisual perception

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Area of Science:

  • Cognitive Psychology
  • Computer Vision
  • Image Processing

Background:

  • Perceived visual complexity of an image correlates with its understandability.
  • Prior knowledge was thought to simplify image comprehension and reduce complexity.

Purpose of the Study:

  • To investigate the influence of prior knowledge on the perceived visual complexity of texture images.
  • To determine if verbal cues affect visual complexity perception.

Main Methods:

  • Participants rated four texture images varying in complexity and understandability.
  • One group received verbal cues about image content; a control group did not.
  • Experiment focused on texture image perception and complexity ratings.

Main Results:

  • The impact of prior knowledge on visual complexity varied across different images.
  • For low-complexity images, cues indicating 3D or dynamic properties increased perceived complexity.
  • Verbal cues, not just visual ones, can enhance perceived visual complexity.

Conclusions:

  • Prior knowledge's effect on visual complexity is context-dependent.
  • Information suggesting dimensionality or dynamism can counterintuitively heighten perceived complexity.
  • Verbal information plays a significant role in modulating visual complexity perception.