GraphCom: A multidimensional measure of graphic complexity applied to 131 written languages

Behavior Research Methods
Li-Yun ChangCharles A Perfetti

Abstract

We report a new multidimensional measure of visual complexity (GraphCom) that captures variability in the complexity of graphs within and across writing systems. We applied the measure to 131 written languages, allowing comparisons of complexity and providing a basis for empirical testing of GraphCom. The measure includes four dimensions whose value in capturing the different visual properties of graphs had been demonstrated in prior reading research-(1) perimetric complexity, sensitive to the ratio of a written form to its surrounding white space (Pelli, Burns, Farell, & Moore-Page, 2006); (2) number of disconnected components, sensitive to discontinuity (Gibson, 1969); (3) number of connected points, sensitive to continuity (Lanthier, Risko, Stolz, & Besner, 2009); and (4) number of simple features, sensitive to the strokes that compose graphs (Wu, Zhou, & Shu, 1999). In our analysis of the complexity of 21,550 graphs, we (a) determined the complexity variation across writing systems along each dimension, (b) examined the relationships among complexity patterns within and across writing systems, and (c) compared the dimensions in their abilities to differentiate the graphs from different writing systems, in order to predict h...Continue Reading

References

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Citations

Jun 13, 2018·Psychological Science in the Public Interest : a Journal of the American Psychological Society·Anne CastlesKate Nation
Mar 29, 2020·Psychological Research·Aiping WangAlbrecht W Inhoff

Related Concepts

Computer Graphics
Natural Language Processing
Reading
Writing (Occupation or Discipline)
Burn Injury
Judgment
Research
Cerebrovascular Accident
Patterns
Empirical Study

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