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2019 | OriginalPaper | Chapter

An Evaluation Method of the Influence of Icon Shape Complexity on Visual Search Based on Eye Tracking

Authors : Zijing Luo, Chengqi Xue, Yafeng Niu, Xinyue Wang, Bingzheng Shi, Lingcun Qiu, Yi Xie

Published in: Design, User Experience, and Usability. User Experience in Advanced Technological Environments

Publisher: Springer International Publishing

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Abstract

In order to evaluate the icon shape complexity from the aspects of human visual cognition, the present paper summarizes two factors of icon shape affecting visual cognition, and establishes a new formula which can quantify the complexity of two-dimensional icon shape. The outcome of test applying the formula indicates the method has ability to quantify the shape complexity of different icons. Meanwhile, the paper studies the influence of different levels of shape complexity of icon on visual search through eye tracking experiments. The results of the eye tracking experiment show that the level of icon shape complexity should be in a reasonable interval which measured by the formula provided in this paper. Because of the ability to quantify the complexity of the icon,the method can improve the design and the application of icon according to visual cognition.

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Metadata
Title
An Evaluation Method of the Influence of Icon Shape Complexity on Visual Search Based on Eye Tracking
Authors
Zijing Luo
Chengqi Xue
Yafeng Niu
Xinyue Wang
Bingzheng Shi
Lingcun Qiu
Yi Xie
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-23541-3_4