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Statistical characteristics of comic panel viewing times.

Hikaru Ikuta1, Leslie Wöhler2, Kiyoharu Aizawa3

  • 1Department of Information and Communication Engineering, The University of Tokyo, Tokyo, 113-8656, Japan. ikuta@hal.t.u-tokyo.ac.jp.

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Summary
This summary is machine-generated.

Analyzing comic reading behavior reveals attention patterns. Viewing times correlate with text length, showing individual differences in processing bimodal media, with data following a heavy-tailed distribution.

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Area of Science:

  • Cognitive Science
  • Human-Computer Interaction
  • Media Studies

Background:

  • Comics are a bimodal art form integrating text and images.
  • Understanding comic reading behavior offers insights into processing complex, multimodal media.

Purpose of the Study:

  • To quantitatively analyze human attention during comic reading.
  • To investigate the statistical distribution of comic panel viewing times.

Main Methods:

  • A user study was conducted with 18 participants reading 7 comic volumes.
  • A custom interface presented comics panel-by-panel, recording viewing times.
  • Over 99,000 viewing time data points were collected and will be publicly released.

Main Results:

  • Average panel viewing times are proportional to the length of text within speech bubbles.
  • Individual differences were observed in the rate of this proportionality.
  • Comic panel viewing times across all users follow a common heavy-tailed distribution.

Conclusions:

  • Panel viewing time is a reliable quantitative measure of attention in comic readers.
  • Text length is a significant factor influencing attention allocation in bimodal comic consumption.
  • The heavy-tailed distribution suggests a consistent pattern in how readers engage with comic panels.