Assessment model for perceived visual complexity of automotive instrument cluster

Sol Hee Yoon; Jihyoun Lim; Yong Gu Ji

doi:10.1016/j.apergo.2014.07.005

Assessment model for perceived visual complexity of automotive instrument cluster

Sol Hee Yoon, Jihyoun Lim, Yong Gu Ji

Department of Industrial Engineering

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

25 Citations (Scopus)

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.

Original language	English
Pages (from-to)	76-83
Number of pages	8
Journal	Applied Ergonomics
Volume	46
Issue number	Part A
DOIs	https://doi.org/10.1016/j.apergo.2014.07.005
Publication status	Published - 2015 Jan 1

Bibliographical note

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)

Access to Document

10.1016/j.apergo.2014.07.005

Cite this

@article{df0a85846884489c94c5ac5743282509,

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.",

keywords = "Assessment model, Perceived visual complexity, Quantifiable measurement variables",

author = "Yoon, {Sol Hee} and Jihyoun Lim and Ji, {Yong Gu}",

note = "Publisher Copyright: {\textcopyright} 2014 Elsevier Ltd and The Ergonomics Society.",

year = "2015",

month = jan,

day = "1",

doi = "10.1016/j.apergo.2014.07.005",

language = "English",

volume = "46",

pages = "76--83",

journal = "Applied Ergonomics",

issn = "0003-6870",

publisher = "Elsevier Ltd",

number = "Part A",

}

TY - JOUR

T1 - Assessment model for perceived visual complexity of automotive instrument cluster

AU - Yoon, Sol Hee

AU - Lim, Jihyoun

AU - Ji, Yong Gu

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

KW - Assessment model

KW - Perceived visual complexity

KW - Quantifiable measurement variables

UR - http://www.scopus.com/inward/record.url?scp=84908212984&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84908212984&partnerID=8YFLogxK

U2 - 10.1016/j.apergo.2014.07.005

DO - 10.1016/j.apergo.2014.07.005

M3 - Article

C2 - 25130311

AN - SCOPUS:84908212984

SN - 0003-6870

VL - 46

SP - 76

EP - 83

JO - Applied Ergonomics

JF - Applied Ergonomics

IS - Part A

ER -

Assessment model for perceived visual complexity of automotive instrument cluster

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this