Data physicalization with haptic variables: Exploring resistance and friction
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Titel | CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems |
Redakteure/-innen | Florian 'Floyd' Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas |
Erscheinungsort | Honolulu, Hawaii, USA |
Herausgeber (Verlag) | ACM Press |
Seiten | 94:1-94:8 |
ISBN (elektronisch) | 9798400703317 |
Publikationsstatus | Veröffentlicht - 11 Mai 2024 |
Peer-Review-Status | Ja |
Externe IDs
Scopus | 85194181420 |
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ORCID | /0000-0001-5087-8776/work/162845842 |
Mendeley | 32d12db1-d2d8-32d8-9aef-44821fa8e630 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- data physicalization, embodied experiences, encoding variables, friction, haptic variables, resistance