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If Your Mind Can Grasp It, Your Hands Will Help

Published: 14 February 2016 Publication History

Abstract

This paper describes a study comparing the information recall of participants using 2D and 3D physical visualizations. Specifically, it focuses on physical bar charts and evaluates the difference between a paper-based visualization and a version built with wooden blocks. We conducted a repeated measures study involving 16 participants in which we measured the recall of information immediately after the exploration and with a delay of one week. We used questionnaires and semi-structured interviews to obtain more information about the process of recall and participants' opinions whether and how the visualizations differ in their potential for memorizing information. The results point out that participants believe to remember the 3D visualizations better, but besides the recall of extreme values the quantitative data cannot completely verify this appreciation. Furthermore the results highlight that the in the study used physical interaction techniques are not able to compensate lacking visual differentiation. One surprising finding was the strong dependency of the different data sets on the recall performance.

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    cover image ACM Other conferences
    TEI '16: Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction
    February 2016
    820 pages
    ISBN:9781450335829
    DOI:10.1145/2839462
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 14 February 2016

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    1. 2D vs. 3D
    2. evaluation
    3. memorability
    4. physical visualization
    5. physicalization

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    TEI '16 Paper Acceptance Rate 45 of 178 submissions, 25%;
    Overall Acceptance Rate 393 of 1,367 submissions, 29%

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    • (2024)Tangible Diffusion: Exploring Artwork Generation via Tangible Elements and AI Generative Models in Arts and Design EducationProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633394(1-13)Online publication date: 11-Feb-2024
    • (2024)Feeling Data through Movement: Designing Somatic Data Experiences with DancersProceedings of the Eighteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3623509.3633371(1-11)Online publication date: 11-Feb-2024
    • (2024)A Computational Design Pipeline to Fabricate Sensing Network PhysicalizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332719830:1(913-923)Online publication date: 1-Jan-2024
    • (2023)Enhancing Color Scales for Active Data PhysicalizationsApplied Sciences10.3390/app1401016614:1(166)Online publication date: 24-Dec-2023
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    • (2022)Making Data Tangible: A Cross-disciplinary Design Space for Data PhysicalizationProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501939(1-18)Online publication date: 29-Apr-2022
    • (2022)Physicalizing Sustainable Development Goals Data: An Example with SDG 7 (Affordable and Clean Energy)Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491101.3519638(1-7)Online publication date: 27-Apr-2022
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