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Conditions of Preserving Mental Images by Contour Deformation

Published: 31 October 2022 Publication History

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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  • (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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  1. Conditions of Preserving Mental Images by Contour Deformation

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    cover image ACM Other conferences
    VINCI '22: Proceedings of the 15th International Symposium on Visual Information Communication and Interaction
    August 2022
    136 pages
    ISBN:9781450398060
    DOI:10.1145/3554944
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 31 October 2022

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    Author Tags

    1. cartographic generalization
    2. deformation
    3. mental image
    4. simplification

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    • (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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