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Author

Kyung, Gyouhyung
Interaction & Experience Lab (ixlab)
Research Interests
  • Human Factors Engineering, UX, Ergonomic Product Design & Development

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Enhancing digital driver models: Identification of distinct postural strategies used by drivers

Cited 4 times inthomson ciCited 3 times inthomson ci
Title
Enhancing digital driver models: Identification of distinct postural strategies used by drivers
Author
Kyung, GyouhyungNussbaum, Maury A.Babski-Reeves, Kari L.
Keywords
Anthropometrics; Body mass; Design ergonomics; Digital drivers; Digital human models; Driving posture; Joint angle; Lower limb; Postural strategies; Statistical clustering; Upper limbs; Workspace design
Issue Date
201003
Publisher
TAYLOR & FRANCIS LTD
Citation
ERGONOMICS, v.53, no.3, pp.375 - 384
Abstract
Driver workspace design and evaluation is, in part, based on assumed driving postures of users and determines several ergonomic aspects of a vehicle, such as reach, visibility and postural comfort. Accurately predicting and specifying standard driving postures, hence, are necessary to improve the ergonomic quality of the driver workspace. In this study, a statistical clustering approach was employed to reduce driving posture simulation/prediction errors, assuming that drivers use several distinct postural strategies when interacting with automobiles. 2-D driving postures, described by 16 joint angles, were obtained from 38 participants with diverse demographics (age, gender) and anthropometrics (stature, body mass) and in two vehicle classes (sedans and SUVs). Based on the proximity of joint angle sets, cluster analysis yielded three predominant postural strategies in each vehicle class (i. e. ` lower limb flexed', ` upper limb flexed' and ` extended'). Mean angular differences between clusters ranged from 3.8 to 52.48 for the majority of joints, supporting the practical relevance of the distinct clusters. The existence of such postural strategies should be considered when utilising digital human models (DHMs) to enhance and evaluate driver workspace design ergonomically and proactively.
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DOI
http://dx.doi.org/10.1080/00140130903414460
ISSN
0014-0139
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