Examining cross-modal correspondence between ambient color and taste perception in virtual reality

Wu, Zhen, Shi, Rongkai, Li, Ziming, Jiang, Mengqi, Li, Yue ORCID: 0000-0003-3728-218X, Yu, Lingyun and Liang, Hai-Ning (2022) Examining cross-modal correspondence between ambient color and taste perception in virtual reality. FRONTIERS IN VIRTUAL REALITY, 3. 1056782-.

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Official URL: http://dx.doi.org/10.3389/frvir.2022.1056782

Abstract

<jats:p>This research explores the cross-modal correspondence effect of ambient color on people’s taste perception in virtual reality (VR). To this end, we designed and conducted two experiments to investigate whether and how taste-congruent ambient colors in VR influence taste perception measured by four aspects: 1) taste ratings of a neutral drink; 2) taste association with virtual environments; 3) associated scenarios when immersed in these virtual environments; and 4) participants’ liking of these environments. In Experiment 1, participants adjusted the ambient light with different cross-modal-related colors in the immersive environments and reported their scaling of the Virtual Reality Sickness Questionnaire (VRSQ). Comfortable light intensity for each ambient color was obtained and color recognition problems were observed. In Experiment 2, participants tasted black tea (as the neutral drink), after being exposed to eight different virtual environments with different ambient colors. Results showed that the pink ambient color significantly increased the sweetness ratings. Differences in the color-taste association and environment liking were also observed in the ambient color conditions. Our results provide new insights into the cross-modal correspondence effect on ambient color and taste perception not found in prior work in VR scenarios.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	virtual reality, human-food interaction, cross-modal correspondence, visual perception, user study, tasting
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	21 Apr 2023 13:24
Last Modified:	15 Mar 2024 12:11
DOI:	10.3389/frvir.2022.1056782
Open Access URL:	https://doi.org/10.3389/frvir.2022.1056782
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169847