Assessment model for perceived visual complexity of automotive instrument cluster

Sol Hee Yoon, Jihyoun Lim, Yong Gu Ji

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)76-83
Number of pages8
JournalApplied Ergonomics
Issue numberPart A
Publication statusPublished - 2015 Jan 1

Bibliographical note

Funding Information:
This work was supported by Mid-career Researcher Program through NRF grant funded by the MSIP (Ministry of Science, ICT and Future Planning) (Grant-# NRF-2013R1A2A2A03014150 ).

Publisher Copyright:
© 2014 Elsevier Ltd and The Ergonomics Society.

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)


Dive into the research topics of 'Assessment model for perceived visual complexity of automotive instrument cluster'. Together they form a unique fingerprint.

Cite this