Data Physicalization with Haptic Variables: Exploring Resistance and Friction

Sander Dullaert, Champika Manel Epa Ranasinghe, Auriol Degbelo, Nacir Bouali

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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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.
Original languageEnglish
Title of host publicationCHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
PublisherACM Publishing
ISBN (Electronic)9798400703317
DOIs
Publication statusPublished - 11 May 2024
EventACM CHI Conference on Human Factors in Computing Systems, CHI 2024: Surfing the World - Honolulu, United States
Duration: 11 May 202416 May 2024
https://chi2024.acm.org

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems, CHI 2024
Abbreviated titleCHI 2024
Country/TerritoryUnited States
CityHonolulu
Period11/05/2416/05/24
Internet address

Keywords

  • 2024 OA procedure

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