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Kaolid: a Lid-type Olfactory Interface to Present Retronasal Smell towards Beverage Flavor Augmentation

Published: 22 March 2024 Publication History

Abstract

In this paper, we introduce Kaolid, an olfactory interface that uses a lid mechanism to augment the flavor of beverages by delivering scents as retronasal smell. Kaolid aims to promote the consumption of healthier beverages by intensifying their perceived taste through the release of scents during drinking. The system features a compact olfactory display and an IMU sensor, triggering scents in response to drinking movements. It comes in two models: a straw-type for cold beverages and a cup-type for hot drinks. We tested the interface using sparkling and hot water and measured its efficacy in enhancing perceived sweetness when paired with scents. Results showed significant enhancements in all evaluation metrics (taste satisfaction, perceived sweetness, and preference) with the straw-type device. Notably, the perceived sweetness increased by an amount equivalent to about 2.88 grams of sugar when a retronasal smell was introduced compared to when no scent was present. This innovative interface holds promise in elevating the flavor of sugar-free drinks and could support those aiming to limit sugar consumption. Furthermore, this research contributes to the future of IoT systems for health support by harnessing the power of scent, opening avenues for novel approaches in sensory-driven well-being advancements.

Supplementary Material

MP4 File (IoT'23.mp4)
Image video of proposed device
MP4 File (kaolid_white.mp4)
Presentation video

References

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      cover image ACM Other conferences
      IoT '23: Proceedings of the 13th International Conference on the Internet of Things
      November 2023
      299 pages
      ISBN:9798400708541
      DOI:10.1145/3627050
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 22 March 2024

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      Author Tags

      1. Drinking activity recognition
      2. Internet of things
      3. Olfactory device
      4. Persuasive technology
      5. Tasting change

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