Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization

要旨

Designing a data physicalization requires a myriad of different considerations. Despite the cross-disciplinary nature of these considerations, research currently lacks a synthesis across the different communities data physicalization sits upon, including their approaches, theories, and even terminologies. To bridge these communities synergistically, we present a design space that describes and analyzes physicalizations according to three facets: context (end-user considerations), structure (the physical structure of the artifact), and interactions (interactions with both the artifact and data). We construct this design space through a systematic review of 47 physicalizations and analyze the interrelationships of key factors when designing a physicalization. This design space cross-pollinates knowledge from relevant HCI communities, providing a cohesive overview of what designers should consider when creating a data physicalization while suggesting new design possibilities. We analyze the design decisions present in current physicalizations, discuss emerging trends, and identify underlying open challenges.

著者
S. Sandra Bae
University of Colorado Boulder, Boulder, Colorado, United States
Clement Zheng
National University of Singapore, Singapore, Singapore, Singapore
Mary Etta. West
University of Colorado Boulder, Boulder, Colorado, United States
Ellen Yi-Luen Do
University of Colorado Boulder, Boulder, Colorado, United States
Samuel Huron
Télécom Paristech, Université Paris-Saclay, Paris, France
Danielle Albers. Szafir
University of Colorado, Boulder, Colorado, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501939

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Vis Right Here, Right Now

296
5 件の発表
2022-05-03 23:15:00
2022-05-04 00:30:00