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Bottom-up vs. Top-down: Trade-offs in Efficiency, Understanding, Freedom and Creativity with InfoVis Tools

Published: 02 May 2017 Publication History

Abstract

The emergence of tools that support fast-and-easy visualization creation by non-experts has made the benefits of InfoVis widely accessible. Key features of these tools include attribute-level operations, automated mappings, and visualization templates. However, these features shield people from lower-level visualization design steps, such as the specific mapping of data points to visuals. In contrast, recent research promotes constructive visualization where individual data units and visuals are directly manipulated. We present a qualitative study comparing people's visualization processes using two visualization tools: one promoting a top-down approach to visualization construction (Tableau Desktop) and one implementing a bottom-up constructive visualization approach (iVoLVER). Our results show how the two approaches influence: 1) the visualization process, 2) decisions on the visualization design, 3) the feeling of control and authorship, and 4) the willingness to explore alternative designs. We discuss the complex trade-offs between the two approaches and outline considerations for designing better visualization tools.

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      cover image ACM Conferences
      CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
      May 2017
      7138 pages
      ISBN:9781450346559
      DOI:10.1145/3025453
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      Published: 02 May 2017

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      Author Tags

      1. iVoLVER
      2. information visualization
      3. tableau desktop

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      Cited By

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      • (2024)The design space of visualization tools for data science education: literature review and framework for future designsInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2024.100698(100698)Online publication date: Oct-2024
      • (2024)Audio-visual training and feedback to learn touch-based gesturesJournal of Visualization10.1007/s12650-024-01012-x27:6(1117-1142)Online publication date: 17-Jun-2024
      • (2024)Bypassing Defaults in Data Visualization Design Processes: A Tableau Case StudyCreative Tools and the Softwarization of Cultural Production10.1007/978-3-031-45693-0_10(197-218)Online publication date: 18-Jan-2024
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      • (2023)The Role of Visualization in Genomics Data Analysis Workflows: The Interviews2023 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS54172.2023.00029(101-105)Online publication date: 21-Oct-2023
      • (2023)Cultivating Visualization Literacy for Children Through Curiosity and PlayIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.320944229:1(257-267)Online publication date: Jan-2023
      • (2023)Preparing Future Data Visualization Designers for Professional Practice2023 IEEE VIS Workshop on Visualization Education, Literacy, and Activities (EduVis)10.1109/EduVis60792.2023.00010(22-27)Online publication date: 22-Oct-2023
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