Proto-chair: Posture-sensing smart furniture with 3D-printed auxetics

Soya Eguchi, Yukako Yazaki, Riku Kato, Yusaku Arita, Takumi Moriya, Hiroya Tanaka

研究成果: Conference contribution

抄録

Public space/furniture are amongst the new domains to apply a data-driven approach of design intervention and improvements. Open space is essentially dynamic, livable and interactive. Various types of people spend time for various purposes. Therefore, the "Measure-Test-Refine" loop is applicable for improving open spaces gradually. In this research, we developed our original smart chair called "Proto-Chair" that can contribute to the new design method of public space. Our chair is made with 3D-printed soft auxetic patterns. It is morphable allowing users to sit in various ways. Also, our chair is equipped with two sensors, which collect data stream to distinguish four different states of the chair. Long-term sensor stream can be stored and used to refine the furniture. In this paper, we propose our concept, prototypes, sensing methods and results of experiments. We also introduce our future vision of a sensor-based public design platform.

本文言語English
ホスト出版物のタイトルCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
出版社Association for Computing Machinery
ISBN(電子版)9781450368193
DOI
出版ステータスPublished - 2020 4 25
イベント2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
継続期間: 2020 4 252020 4 30

出版物シリーズ

名前Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
CountryUnited States
CityHonolulu
Period20/4/2520/4/30

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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