Literature DB >> 27875161

Investigating the Use of a Dynamic Physical Bar Chart for Data Exploration and Presentation.

Faisal Taher1, Yvonne Jansen2, Jonathan Woodruff1, John Hardy1, Kasper Hornbaek2, Jason Alexander1.   

Abstract

Physical data representations, or data physicalizations, are a promising new medium to represent and communicate data. Previous work mostly studied passive physicalizations which require humans to perform all interactions manually. Dynamic shape-changing displays address this limitation and facilitate data exploration tasks such as sorting, navigating in data sets which exceed the fixed size of a given physical display, or preparing "views" to communicate insights about data. However, it is currently unclear how people approach and interact with such data representations. We ran an exploratory study to investigate how non-experts made use of a dynamic physical bar chart for an open-ended data exploration and presentation task. We asked 16 participants to explore a data set on European values and to prepare a short presentation of their insights using a physical display. We analyze: (1) users' body movements to understand how they approach and react to the physicalization, (2) their hand-gestures to understand how they interact with physical data, (3) system interactions to understand which subsets of the data they explored and which features they used in the process, and (4) strategies used to explore the data and present observations. We discuss the implications of our findings for the use of dynamic data physicalizations and avenues for future work.

Entities:  

Year:  2017        PMID: 27875161     DOI: 10.1109/TVCG.2016.2598498

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  3D Printed Deformable Surfaces for Shape-Changing Displays.

Authors:  Aluna Everitt; Jason Alexander
Journal:  Front Robot AI       Date:  2019-08-28

2.  Data Clothing and BigBarChart: Designing Physical Data Reports on Indoor Pollutants for Individuals and Communities.

Authors:  Laura J Perovich; Phoebe Cai; Amber Guo; Kristin Zimmerman; Katherine Paseman; Dayanna Espinoza Silva; Julia G Brody
Journal:  IEEE Comput Graph Appl       Date:  2021-01-15       Impact factor: 2.088

  2 in total

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