Occupant comfort

Paul, Gunther (2019) Occupant comfort. In: Scataglini, Sofia, and Paul, Gunther, (eds.) DHM and Posturography. Academic Press, London, UK, pp. 471-486.

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Abstract

Comfort has traditionally been perceived as a subjective perception, which is difficult to measure. While seat comfort has dominated comfort research for many years, more recent studies also investigate comfort of touch and motion comfort. In car, train, and airplane seats, comfort is the most important factor besides safety, esthetics, and packaging. Comfort is commonly associated with quality and a view of superior performance. While comfort is mostly assessed using physical testing involving subjects, the advanced digital human modeling (DHM) approach to predict comfort is based on an analytical understanding of physical parameters correlating with human comfort awareness. Compared to experiments involving human subjects, which are costly, effort-intensive, difficult to control, and often impossible to repeat, comfort assessment using DHM is fast, easy to perform, cost-efficient, fully repeatable, fully documented, flexible, and scalable and provides measurements where physical studies are impossible. Using a comprehensive comfort modeling approach, previous limitations of partial comfort models, such as vibration or ride comfort, postural or joint comfort, force comfort, and pressure comfort, are overcome, leading to a more stable taxation of comfort with DHM. This approach contributes to better product development and helps to reduce fatigue and dissatisfaction from insufficient package design.

Item ID: 60737
Item Type: Book Chapter (Research - B1)
ISBN: 978-0-12-816713-7
Keywords: comfort model; cushion comfort; fuzzy neuro network; motion comfort; muscular comfort; posture comfort; pressure comfort; seat comfort; vibration comfort
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Copyright Information: © 2019 Elsevier Inc. All rights reserved.
Date Deposited: 15 Jan 2020 04:13
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling @ 34%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080111 Virtual Reality and Related Simulation @ 33%
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080602 Computer-Human Interaction @ 33%
SEO Codes: 92 HEALTH > 9205 Specific Population Health (excl. Indigenous Health) > 920504 Occupational Health @ 50%
97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 50%
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