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Is Two Enough?: ! Studying Benefits, Barriers, and Biases of Multi-Tablet Use for Collaborative Visualization

Published: 02 May 2017 Publication History

Abstract

A sizable part of HCI research on cross-device interaction is driven by the vision of users conducting complex knowledge work seamlessly across multiple mobile devices. This is based on the Weiserian assumption that people will be inclined to distribute their work across multiple ``pads' if such are available. We observed that this is not the reality today, even when devices were in abundance. We present a study with 24 participants in 12 dyads completing a collaborative visualization task with up to six tablets. They could choose between three different visualization types to answer questions about economic data. Tasks were designed to afford simultaneous use of tablets, either with linked or independent views. We found that users typically utilized only one tablet per user. A quantitative and qualitative analysis revealed a ``legacy bias' that introduced barriers for using more tablets and reduced the overall benefit of multi-device visualization.

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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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    1. cross-device interaction
    2. group work
    3. information visualization
    4. multiple coordinated views
    5. tablets

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    • (2024)Exploring the Effect of Viewing Attributes of Mobile AR Interfaces on Remote Collaborative and Competitive TasksIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345617730:11(7288-7298)Online publication date: 1-Nov-2024
    • (2023)WAMS: A Flexible API for Visual Workspaces Across Multiple SurfacesProceedings of the ACM on Human-Computer Interaction10.1145/35932367:EICS(1-40)Online publication date: 19-Jun-2023
    • (2023)ARound the Smartphone: Investigating the Effects of Virtually-Extended Display Size on Spatial MemoryProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581438(1-15)Online publication date: 19-Apr-2023
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