Fluidic Computation Kit: Advancing Shape-changing Interfaces Without Electronics
This paper presents the Fluidic Computation Kit, which explores the development of electronic-free interfaces capable of shape-changing functionalities. Authored by Qiuyu Lu, Haiqing Xu, Yijie Guo, Joey Yu Wang, and Lining Yao, it was featured at CHI 2023

ACM SIGCHI
783 views β’ Apr 11, 2023

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Fluidic Computation Kit: Towards Electronic-free Shape-changing Interfaces
Qiuyu Lu, Haiqing Xu, Yijie Guo, Joey Yu Wang, Lining Yao
CHI 2023: The ACM CHI Conference on Human Factors in Computing Systems
Session: Discovery Track Wednesday
Although fluidic computation has been utilized to develop interactive devices in the field of Human-Computer Interaction (HCI), the limited computation complexity of previous work hinders the exploration of richer interaction modalities. Based on the Fluidic Computation Kit we developed, this paper explores how unconventional mechanical computing can be leveraged to design shape-changing interfaces that integrate input sensing, output, and complex computation. After introducing the design space enabled by the Kit, we explain how to design four types of elementary computational components and six categories of operators. We end by providing several application scenarios which illustrate the Fluidic Computation Kitβs potential to build sophisticated circuits (e.g., a parallel processor) for use in the field of HCI.
Web:: https://programs.sigchi.org/chi/2023/program/content/96254
Video teasers for papers at CHI 2023
Qiuyu Lu, Haiqing Xu, Yijie Guo, Joey Yu Wang, Lining Yao
CHI 2023: The ACM CHI Conference on Human Factors in Computing Systems
Session: Discovery Track Wednesday
Although fluidic computation has been utilized to develop interactive devices in the field of Human-Computer Interaction (HCI), the limited computation complexity of previous work hinders the exploration of richer interaction modalities. Based on the Fluidic Computation Kit we developed, this paper explores how unconventional mechanical computing can be leveraged to design shape-changing interfaces that integrate input sensing, output, and complex computation. After introducing the design space enabled by the Kit, we explain how to design four types of elementary computational components and six categories of operators. We end by providing several application scenarios which illustrate the Fluidic Computation Kitβs potential to build sophisticated circuits (e.g., a parallel processor) for use in the field of HCI.
Web:: https://programs.sigchi.org/chi/2023/program/content/96254
Video teasers for papers at CHI 2023
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783
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0:31
Published
Apr 11, 2023
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