Data physicalization with haptic variables: Exploring resistance and friction

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

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

OriginalspracheEnglisch
TitelCHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
Redakteure/-innenFlorian 'Floyd' Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas
ErscheinungsortHonolulu, Hawaii, USA
Herausgeber (Verlag)ACM Press
Seiten94:1-94:8
ISBN (elektronisch)9798400703317
PublikationsstatusVeröffentlicht - 11 Mai 2024
Peer-Review-StatusJa

Externe IDs

Scopus 85194181420
ORCID /0000-0001-5087-8776/work/162845842
Mendeley 32d12db1-d2d8-32d8-9aef-44821fa8e630

Schlagworte

Schlagwörter

  • data physicalization, embodied experiences, encoding variables, friction, haptic variables, resistance