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Introduction to Data-Enabled Design

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Published:28 April 2022Publication History

ABSTRACT

During the Introduction to Data-Enabled Design (DED) course attendees will learn about designing for intelligent ecosystems while using data as a creative material. We will take the course participants through both major steps, contextual and informed, of this method by means of data collected (upfront) from the attendee’s personal context. This course offers a careful balance between hands-on work and DED theory. The learning outcomes focus on topics of (physical) prototyping, (remote) data collection and analysis, using data as a creative material, and designing remote interventions.

References

  1. Sander Bogers, Janne van Kollenburg, Eva Deckers, Joep Frens, and Caroline Hummels. 2018. A Situated Exploration of Designing for Personal Health Ecosystems through Data-enabled Design(the 2018 DIS conference). 109 – 120. https://doi.org/10.1145/3196709.3196769Google ScholarGoogle Scholar
  2. Mathias Funk, Eden Chiang, and Eva van der Born. 2019. Data foundry: a data infrastructure for design research. In Data Science Summit 2019: The Annual Data Science Summit Eindhoven, organized by TU/e-DSCE.Google ScholarGoogle Scholar
  3. Jos-marien Jansen, Karin Niemantsverdriet, Anne Wil Burghoorn, Peter Lovei, Ineke Neutelings, Eva Deckers, and Simon Nienhuijs. 2020. Design for Co-responsibility: connecting patients, partners, and professionals in bariatric lifestyle changes(DIS 2020, Vol. 2017). 1537 – 1549. https://doi.org/10.1145/3357236.3395469Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Rochelle King, Elizabeth F Churchill, and Caitlin Tan. 2017. Designing with Data. O’Reilly Media.Google ScholarGoogle Scholar
  5. Janne van Kollenburg and Sander Bogers. 2019. Data-Enabled Design. Ph. D. Dissertation. Eindhoven University of Technology.Google ScholarGoogle Scholar
  6. Janne van Kollenburg, Sander Bogers, Heleen Rutjes, Eva Deckers, Joep Frens, and Caroline Hummels. 2018. Exploring the Value of Parent Tracked Baby Data in Interactions with Healthcare Professionals(the 2018 CHI Conference). 1 – 12. https://doi.org/10.1145/3173574.3173871Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Peter Lovei, Eva Deckers, Mathias Funk, and Stephan Wensveen. 2021. Field Lab Sleep and Energy: A System for Longitudinal Remote Sleep Tracking and Prototyping. In Proceedings of the 1st Workshop on Computer Human Interaction in IoT Applications.Google ScholarGoogle Scholar
  8. Renee Noortman, Peter Lovei, Mathias Funk, Eva Deckers, Stephan Wensveen, and Berry Eggen. 2022, in print. Breaking up Data-Enabled Design: Expanding and Scaling up for the Clinical Context. AI EDAM 36(2022, in print).Google ScholarGoogle Scholar

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      • Published in

        cover image ACM Conferences
        CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems
        April 2022
        3066 pages
        ISBN:9781450391566
        DOI:10.1145/3491101

        Copyright © 2022 Owner/Author

        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.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 28 April 2022

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        Qualifiers

        • course
        • Research
        • Refereed limited

        Acceptance Rates

        Overall Acceptance Rate6,164of23,696submissions,26%

        Upcoming Conference

        CHI '24
        CHI Conference on Human Factors in Computing Systems
        May 11 - 16, 2024
        Honolulu , HI , USA

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