Huang, Z, Wang, S, Jiang, A et al. (2 more authors) (2022) Gender Preference Differences in Color Temperature Associated with LED Light Sources in the Autopilot Cabin. In: HCI in Mobility, Transport, and Automotive Systems. MobiTAS 2022, 26 Jun - 01 Jul 2022, Virtual. Springer Cham , pp. 151-166. ISBN 9783031049866
Abstract
In an automated cockpit, the role changes from driver to passenger, with a greater focus on the in-cabin experience. The reasonable use of light sources will effectively improve the user cabin experience. In particular, we can effectively derive the preference for color temperature by the convergence of group selection for different groups of men and women.
In this study, systematic descriptive analysis, t-test, and one-way ANOVA were performed on the data yielded using questionnaires. The preference choices of 23 (11 male, 12 female) participants who came to China were studied under five different color temperature (CCT) lightings in the autopilot interior. The results demonstrated that there were disparities in terms of gender in the correlation of LED light sources in the autopilot cabin. Women preferred 3500K white light, and men preferred cooler than 5000K light during daytime in summer, while women preferred 3000K warm white light and men preferred 4000K cool white light during nighttime.
Moreover, passengers’ alertness, visual comfort, and preference also differed under different color temperature environment brightness. Meanwhile, passengers’ alertness, visual comfort, and preference were shown to have a significant positive correlation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Self-driving cars; Color temperature; Gender preference; Fatigue; Alertness |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Dec 2022 16:48 |
Last Modified: | 06 Jan 2023 13:33 |
Status: | Published |
Publisher: | Springer Cham |
Identification Number: | 10.1007/978-3-031-04987-3_10 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:193904 |