Assessment model for perceived visual complexity of automotive instrument cluster
- Authors
- Yoon, Sol Hee; Lim, Jihyoun; Ji, Yong Gu
- Issue Date
- Jan-2015
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Perceived visual complexity; Quantifiable measurement variables; Assessment model
- Citation
- APPLIED ERGONOMICS, v.46, pp.76 - 83
- Journal Title
- APPLIED ERGONOMICS
- Volume
- 46
- Start Page
- 76
- End Page
- 83
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/13714
- DOI
- 10.1016/j.apergo.2014.07.005
- ISSN
- 0003-6870
- 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. (C) 2014 Elsevier Ltd and The Ergonomics Society. All rights reserved.
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Collections - College of Engineering > Industrial Engineering Major > 1. Journal Articles
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