Emolleia -Wearable Kinetic Flower Display for Expressing Emotions

Yifan Zhuang, Keitaro Tsuchiya, Takuro Nakao, Jiawen Han, Megumi Isoga, Shinya Shimizu, Kai Kunze

Research output: Chapter in Book/Report/Conference proceedingConference contribution


What we wear (our clothes and wearable accessories) can represent our mood at the moment. We developed Emolleia to explore how to make aesthetic wears more expressive to become a novel form of non-verbal communication to express our emotional feelings. Emolleia is an open wearable kinetic display in form of three 3D printed flowers that can dynamically open and close at different speeds. With our open-source platform, users can define their own animated motions. In this paper, we described the prototype design, hardware considerations, and user surveys (n=50) to evaluate the expressiveness of 8 pre-defined animated motions of Emolleia. Our initial results showed animated motions are feasible to communicate different emotional feelings especially at the valence and arousal dimensions. Based on the findings, we mapped eight pre-defined animated motions to the reported, user-perceived valence, arousal and dominance and discussed possible directions for future work.

Original languageEnglish
Title of host publicationTEI 2022 - Proceedings of the 16th International Conference on Tangible, Embedded, and Embodied Interaction
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450391474
Publication statusPublished - 2022 Feb 13
Event16th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2022 - Virtual, Online, Korea, Republic of
Duration: 2022 Feb 132022 Feb 16

Publication series

NameACM International Conference Proceeding Series


Conference16th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2022
Country/TerritoryKorea, Republic of
CityVirtual, Online


  • Wearable display
  • aesthetic wearables
  • emotion
  • fashion
  • interactive design

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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