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

Zhaolin Lu, Shengbo Li, Shaobing Xu, Fritz Frenkler

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

5 Zitate (Scopus)

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.

OriginalspracheEnglisch
Seiten (von - bis)1711-1718
Seitenumfang8
FachzeitschriftJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Jahrgang21
Ausgabenummer7
DOIs
PublikationsstatusVeröffentlicht - 1 Juli 2015
Extern publiziertJa

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