“Blooming Resonant Tea: A Multisensory Dining Experience with Dynamic Visuals and Music” by Chen, Liu, Cao, Kamiyama, Wakisaka, et al. … – ACM SIGGRAPH HISTORY ARCHIVES

“Blooming Resonant Tea: A Multisensory Dining Experience with Dynamic Visuals and Music” by Chen, Liu, Cao, Kamiyama, Wakisaka, et al. …

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Title:


    Blooming Resonant Tea: A Multisensory Dining Experience with Dynamic Visuals and Music

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  • Art / Design
  • Gaming & Entertainment
  • New Technologies

Description:


    This study introduces the Blooming Resonant Tea system, a drinking system that integrates taste, visual, and auditory stimuli to enhance the flavor of herbal tea and ingredient immersion. Studies show that cymatics—using vibrational frequencies to create dynamic liquid patterns—and music can amplify existing flavors, while dynamic projections can enhance food perception. To augment flavor, the system employs two methods: generating cymatics patterns through a VP2 vibrator embedded in the cup and using flavor-associated music. For ingredient immersion, blooming projections are used to visually transform the tea from a bud to full bloom. This system offers a customizable multi-sensory drinking experience, allowing users to select different herbal teas with matching projections, cymatics patterns, and music, creating a tri-sensory tea-drinking ritual for the future.

References:


    [1] Weijen Chen, Yang Yang, Kao-Hua Liu, Yun Suen Pai, Junichi Yamaoka, and Kouta Minamizawa. 2024. Cymatics Cup: Shape-Changing Drinks by Leveraging Cymatics. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1–19.

    [2] Rohit Ashok Khot, Florian Mueller, et al. 2019. Human-food interaction. Foundations and Trends® in Human–Computer Interaction 12, 4 (2019), 238–415.

    [3] Di Qi, Mina Shibasaki, Youichi Kamiyama, Sakiko Tanaka, Bunsuke Kawasaki, Chisa Mitsuhashi, Yun Suen Pai, and Kouta Minamizawa. 2022. Furekit: Wearable tactile music toolkit for children with ASD. In International Conference on Human Haptic Sensing and Touch Enabled Computer Applications. Springer, 310–318.

    [4] Charles Spence and Qian Wang. 2015. Wine and music (I): on the crossmodal matching of wine and music. Flavour 4 (2015), 1–14.

    [5] Yuji Suzuki, Takuji Narumi, Tomohiro Tanikawa, and Michitaka Hirose. 2021. Taste in motion: The effect of projection mapping of a boiling effect on food expectation, food perception, and purchasing behavior. Frontiers in Computer Science 3 (2021), 662824.


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