Data physicalization with haptic variables: Exploring resistance and friction

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-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 languageEnglish
Title of host publicationCHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
EditorsFlorian 'Floyd' Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas
Place of PublicationHonolulu, Hawaii, USA
PublisherACM Press
Pages94:1-94:8
ISBN (electronic)9798400703317
Publication statusPublished - 11 May 2024
Peer-reviewedYes

External IDs

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

Keywords

Keywords

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