Auditory Seasoning Filters: Altering Food Perception via Augmented Sonic Feedback of Chewing Sounds
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Auditory Seasoning Filters : Altering Food Perception via Augmented Sonic Feedback of Chewing Sounds. / Kleinberger, Rebecca; Van Troyer, Akito Oshiro; Wang, Qian Janice.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, Inc., 2023. 318.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Auditory Seasoning Filters
T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
AU - Kleinberger, Rebecca
AU - Van Troyer, Akito Oshiro
AU - Wang, Qian Janice
N1 - Publisher Copyright: © 2023 Owner/Author.
PY - 2023
Y1 - 2023
N2 - The experience of what we eat depends not only on the taste of the food, but also on other modalities of sensory feedback. Perceptual research has shown the potential of altering visual, olfactory, and textural food cues to affect flavor, texture, and satiety. Recently, the HCI community has leveraged such research to encourage healthy eating, but the resulting tools often require specialised and/or invasive devices. Ubiquitous and unobtrusive, audio feedback-based tools could alleviate those drawbacks, but research in this area has been limited to food texture. We expand on prior psychology research by exploring a wide range of auditory feedback styles to modify not only flavor attributes but also appetite-related measures. We present Auditory Seasoning, a mobile app that offers various curated audio modes to alter chewing sounds. In a Pringles-tasting experiment (N=37), this tool significantly influenced food perception and eating behavior beyond texture alone. Based on these results, we discuss design implications to create custom real-world flavor/satiety-enhancing tools.
AB - The experience of what we eat depends not only on the taste of the food, but also on other modalities of sensory feedback. Perceptual research has shown the potential of altering visual, olfactory, and textural food cues to affect flavor, texture, and satiety. Recently, the HCI community has leveraged such research to encourage healthy eating, but the resulting tools often require specialised and/or invasive devices. Ubiquitous and unobtrusive, audio feedback-based tools could alleviate those drawbacks, but research in this area has been limited to food texture. We expand on prior psychology research by exploring a wide range of auditory feedback styles to modify not only flavor attributes but also appetite-related measures. We present Auditory Seasoning, a mobile app that offers various curated audio modes to alter chewing sounds. In a Pringles-tasting experiment (N=37), this tool significantly influenced food perception and eating behavior beyond texture alone. Based on these results, we discuss design implications to create custom real-world flavor/satiety-enhancing tools.
KW - auditory feedback
KW - closed-loop system
KW - crossmodal correspondences
KW - food
U2 - 10.1145/3544548.3580755
DO - 10.1145/3544548.3580755
M3 - Article in proceedings
AN - SCOPUS:85160023364
BT - Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23)
PB - Association for Computing Machinery, Inc.
Y2 - 23 April 2023 through 28 April 2023
ER -
ID: 375012459