Data physicalization with haptic variables: Exploring resistance and friction
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Data Physicalizations have the potential to create interactive and more engaging data experiences and to make data more accessible to a broader range of users than those reached by visualizations alone. Tapping into this potential necessitates an understanding of the strengths/weaknesses of the different encoding variables available to designers, and when these variables can be employed to convey data. This work provides a preliminary investigation of two kinesthetic variables (resistance and friction) and their performance during the answering of minima/maxima/cluster questions. We evaluated both encoding modalities with users for their efficiency and effectiveness in a lab-based study. While neither modality was found to be significantly more efficient or accurate, most users preferred reading data through resistance.
Details
Original language | English |
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Title of host publication | CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems |
Editors | Florian 'Floyd' Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas |
Place of Publication | Honolulu, Hawaii, USA |
Publisher | ACM Press |
Pages | 94:1-94:8 |
ISBN (electronic) | 9798400703317 |
Publication status | Published - 11 May 2024 |
Peer-reviewed | Yes |
External IDs
Scopus | 85194181420 |
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ORCID | /0000-0001-5087-8776/work/162845842 |
Mendeley | 32d12db1-d2d8-32d8-9aef-44821fa8e630 |
Keywords
ASJC Scopus subject areas
Keywords
- data physicalization, embodied experiences, encoding variables, friction, haptic variables, resistance