Cited By
View all- Doi RMisue K(2023)Modeling Human Recognition of Deformed Maps2023 27th International Conference Information Visualisation (IV)10.1109/IV60283.2023.00034(148-154)Online publication date: 25-Jul-2023
Conditions of Preserving Mental Images by Contour Deformation
Author: 
Kazuo MisueAuthors Info & Claims
Article No.: 6, Pages 1 - 5
Abstract
To automate deformation that preserves mental images, an experiment was conducted to determine the conditions under which mental images are preserved using line simplification, a method of deformation. The experiment was conducted using prefectures in Japan as objective concepts and participants were asked whether they could identify a prefecture from its deformed contour and whether it matched their image of the prefecture. The results of the online web-based experiment yielded an average of 26-27 responses per prefecture. Based on the analysis of the results, the contours of prefectures are divided into those with and without local features. Furthermore, as local features, “spikes” with an area ratio above a certain level and a vertex angle below a certain level influenced the preservation of mental images.
References
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Vincenzo Del Fatto, Luca Paolino, Monica Sebillo, Giuliana Vitiello, and Genoveffa Tortora. 2008. Spatial Factors Affecting User’s Perception in Map Simplification: An Empirical Analysis. In Web and Wireless Geographical Information Systems, Michela Bertolotto, Cyril Ray, and Xiang Li (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 152–163.
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Arthur van Goethem, Wouter Meulemans, Bettina Speckmann, and Jo Wood. 2014. Exploring Curved Schematization. In 2014 IEEE Pacific Visualization Symposium. 1–8. https://doi.org/10.1109/PacificVis.2014.11
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Index Terms
- Conditions of Preserving Mental Images by Contour Deformation
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August 2022
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Published: 31 October 2022
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VINCI'22
VINCI'22: 15th International Symposium on Visual Information Communication and Interaction
August 16 - 18, 2022
Chur, Switzerland
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View all- Doi RMisue K(2023)Modeling Human Recognition of Deformed Maps2023 27th International Conference Information Visualisation (IV)10.1109/IV60283.2023.00034(148-154)Online publication date: 25-Jul-2023
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