Exploring interactions with physically dynamic bar charts

Faisal Taher, John Hardy, Abhijit Karnik, Christian Weichel, Yvonne Jansen, Kasper Hornbæk, Jason Alexander

67 Citations (Scopus)

Abstract

Visualizations such as bar charts help users reason about data, but are mostly screen-based, rarely physical, and almost never physical and dynamic. This paper investigates the role of physically dynamic bar charts and evaluates new interactions for exploring and working with datasets rendered in dynamic physical form. To facilitate our exploration we constructed a 10 × 10 interactive bar chart and designed interactions that supported fundamental visualisation tasks, specifically: Annotation, navigation, filtering, comparison, organization, and sorting. The interactions were evaluated in a user study with 17 participants. We identify the preferred methods of working with the data for each task (e.g. directly tapping rows to hide bars), highlight the strengths and limitations of working with physical data, and discuss the challenges of integrating the proposed interactions together into a larger data exploration system. In general, physical interactions were intuitive, informative, and enjoyable, paving the way for new explorations in physical data visualizations.

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Number of pages10
PublisherAssociation for Computing Machinery
Publication date18 Apr 2015
Pages3237-3246
ISBN (Print)978-1-4503-3145-6
DOIs
Publication statusPublished - 18 Apr 2015
EventAnnual ACM Conference on Human Factors in Computing Systems: CHI '15 - Seoul, Korea, Republic of
Duration: 18 Apr 201523 Apr 2015
Conference number: 33

Conference

ConferenceAnnual ACM Conference on Human Factors in Computing Systems
Number33
Country/TerritoryKorea, Republic of
CitySeoul
Period18/04/201523/04/2015

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