title: Assessment model for perceived visual complexity of automotive instrument cluster.
abstract: This research proposes an assessment model for quantifying the perceived visual complexity (PVC) of an in-vehicle instrument cluster. An initial study was conducted to investigate the possibility of evaluating the PVC of an in-vehicle instrument cluster by estimating and analyzing the complexity of its individual components. However, this approach was only partially successful, because it did not take into account the combination of the different components with random levels of complexity to form one visual display. Therefore, a second study was conducted focusing on the effect of combining the different components. The results from the overall research enabled us to suggest a basis for quantifying the PVC of an in-vehicle instrument cluster based both on the PVCs of its components and on the integration effect.
authors.affiliation: Dept. of Information and Industrial Engineering, Yonsei University, Seoul, Republic of Korea.
authors.forename: Sol Hee
authors.initials: SH
authors.lastname: Yoon
authors.affiliation: Dept. of Industrial Engineering, Hongik University, Seoul, Republic of Korea.
authors.forename: Jihyoun
authors.initials: J
authors.lastname: Lim
authors.affiliation: Dept. of Information and Industrial Engineering, Yonsei University, Seoul, Republic of Korea. Electronic address: yongguji@yonsei.ac.kr.
authors.forename: Yong Gu
authors.initials: YG
authors.lastname: Ji
mesh_terms: D000328:Adult; D001336:Automobiles; D003626:Data Display / Q000639:trends*; D006804:Ergonomics; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D011795:Surveys and Questionnaires; D014796:Visual Perception
keywords: Assessment model; Perceived visual complexity; Quantifiable measurement variables