ACM CHI2025のLate-Breaking Workで1件の発表

@conference{chi-lbw2025,

title = {BubblEat: Designing a Bubble-Based Olfactory Delivery for Retronasal Smell in Every Spoonful},

author = {Daiki Mayumi , Yugo Nakamura , Yuki Matsuda , Keiichi Yasumoto

},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

booktitle = {Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems},

abstract = {Traditional olfactory delivery methods, such as airflow, vaporization, heating, and atomization, struggle to effectively deliver retronasal smell during eating. This study introduces BubblEat, a cutlery device that places aroma-infused bubbles on a spoon, releasing scents upon bursting in the mouth to enhance retronasal olfactory perception. To optimize bubble-based aroma delivery, we examined liquid viscosity, key factors influencing stability and aroma release. Based on these findings, we developed a BubblEat prototype with a bubble generation mechanism capable of delivering stable, user-friendly aroma-infused bubbles. We designed BubblEat to achieve enhancing dining experiences by effectively presenting retronasal smells. This study demonstrates the feasibility of bubble-based aroma delivery, complementing orthonasal smell and opening new avenues for sensory-enhanced dining.},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}