Comparative research on users' visual pattern recognition oriented to automotive styling features

Zhaolin Lu; Shengbo Li; Shaobing Xu; Fritz Frenkler

doi:10.13196/j.cims.2015.07.005

Comparative research on users' visual pattern recognition oriented to automotive styling features

Zhaolin Lu, Shengbo Li, Shaobing Xu, Fritz Frenkler

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

To make automotive design conform to aesthetic psychology of target users, users' visual pattern recognition was researched comparatively with cross-culture perspective. Based on Feature Integration Theory (FIT) theory of Treisman, a general model for automotive styling feature's visual recognition was proposed. Automotive front face was taken as a sample, and China and Germany users were selected as subjects in the experiment: in first step, Dikablis eye tracker was used for eye-tracking experiment; the questionnaire survey combined with Likert scale was made in second step. Grey level histogram and SPSS software were used to analyze the experimental data, and the results provided reference for automotive styling feature's development oriented to the Chinese market.

Original language	English
Pages (from-to)	1711-1718
Number of pages	8
Journal	Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume	21
Issue number	7
DOIs	https://doi.org/10.13196/j.cims.2015.07.005
State	Published - 1 Jul 2015
Externally published	Yes

Keywords

Automotive styling features
Comparative research
Eye tracking
Product design
Visual pattern recognition

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10.13196/j.cims.2015.07.005

Cite this

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title = "Comparative research on users' visual pattern recognition oriented to automotive styling features",

abstract = "To make automotive design conform to aesthetic psychology of target users, users' visual pattern recognition was researched comparatively with cross-culture perspective. Based on Feature Integration Theory (FIT) theory of Treisman, a general model for automotive styling feature's visual recognition was proposed. Automotive front face was taken as a sample, and China and Germany users were selected as subjects in the experiment: in first step, Dikablis eye tracker was used for eye-tracking experiment; the questionnaire survey combined with Likert scale was made in second step. Grey level histogram and SPSS software were used to analyze the experimental data, and the results provided reference for automotive styling feature's development oriented to the Chinese market.",

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AU - Lu, Zhaolin

AU - Li, Shengbo

AU - Xu, Shaobing

AU - Frenkler, Fritz

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N2 - To make automotive design conform to aesthetic psychology of target users, users' visual pattern recognition was researched comparatively with cross-culture perspective. Based on Feature Integration Theory (FIT) theory of Treisman, a general model for automotive styling feature's visual recognition was proposed. Automotive front face was taken as a sample, and China and Germany users were selected as subjects in the experiment: in first step, Dikablis eye tracker was used for eye-tracking experiment; the questionnaire survey combined with Likert scale was made in second step. Grey level histogram and SPSS software were used to analyze the experimental data, and the results provided reference for automotive styling feature's development oriented to the Chinese market.

AB - To make automotive design conform to aesthetic psychology of target users, users' visual pattern recognition was researched comparatively with cross-culture perspective. Based on Feature Integration Theory (FIT) theory of Treisman, a general model for automotive styling feature's visual recognition was proposed. Automotive front face was taken as a sample, and China and Germany users were selected as subjects in the experiment: in first step, Dikablis eye tracker was used for eye-tracking experiment; the questionnaire survey combined with Likert scale was made in second step. Grey level histogram and SPSS software were used to analyze the experimental data, and the results provided reference for automotive styling feature's development oriented to the Chinese market.

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KW - Comparative research

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Comparative research on users' visual pattern recognition oriented to automotive styling features

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