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Getting in Touch: Engaging Public Event Visitors through Participatory Data Physicalization

Published: 03 June 2024 Publication History

Abstract

Participatory data physicalizations allow people to physically participate in the creation of visualizations. In this work, we present four categories of data physicalization concepts that were tested with public event visitors in a university context. The goal was to create data physicalizations from simple, affordable materials to engage visitors in data collection and visualization in a playful way.

References

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Samuel Huron, Sheelagh Carpendale, Alice Thudt, Anthony Tang, and Michael Mauerer. 2014. Constructive Visualization. In Proceedings of the 2014 Conference on Designing Interactive Systems(DIS ’14). 433–442. https://doi.org/10.1145/2598510.2598566
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Samuel Huron, Till Nagel, Lora Oehlberg, and Wesley Willett. 2022. Making with DataPhysical Design and Craft in a Data-Driven World. Vol. 1. A K Peters/CRC Press. https://doi.org/10.1201/9781003264903
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Yvonne Jansen, Pierre Dragicevic, Petra Isenberg, Jason Alexander, Abhijit Karnik, Johan Kildal, Sriram Subramanian, and Kasper Hornbæk. 2015. Opportunities and Challenges for Data Physicalization. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems(CHI ’15). 3227–3236. https://doi.org/10.1145/2702123.2702180
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Kim Sauvé, Pierre Dragicevic, and Yvonne Jansen. 2023. Edo: A Participatory Data Physicalization on the Climate Impact of Dietary Choices. In Proceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction(TEI ’23). Article 35. https://doi.org/10.1145/3569009.3572807
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Alice Thudt, Uta Hinrichs, Samuel Huron, and Sheelagh Carpendale. 2018. Self-Reflection and Personal Physicalization Construction. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems(CHI ’18). 1–13. https://doi.org/10.1145/3173574.3173728
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Published In

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AVI '24: Proceedings of the 2024 International Conference on Advanced Visual Interfaces
June 2024
578 pages
ISBN:9798400717642
DOI:10.1145/3656650
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 June 2024

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Author Tags

  1. Data Collection
  2. Data Physicalization
  3. Encoding
  4. Engagement

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AVI 2024

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AVI '24 Paper Acceptance Rate 21 of 82 submissions, 26%;
Overall Acceptance Rate 128 of 490 submissions, 26%

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