Data as delight: eating data

Florian "Floyd" Mueller, Tim Dwyer, Sarah Goodwin, Kim Marriott, Jialin Deng, Han Phan, Jionghao Lin, Kun Ting Chen, Yan Wang, Rohit Khot

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

The HCI community has a rich history of fnding new ways to engage people with data beyond the screen. With our work, we aim to expand the scope of how interaction design can engage people, arguing that eating data has the potential to allow people to experience data as delight. With reference to prior work and our design research fndings, we discuss the advantages and the challenges of this approach to integrating data and food. We then identify four themes to guide the design of engagements with data through food: food form, food commensality, food ephemerality, and emotional response to food. Within these design themes, we articulate twelve insights for interaction designers to use when working on serving data as delight.

Original languageEnglish
Title of host publicationCHI'21 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
EditorsPernille Bjorn, Steven Drucker
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages14
ISBN (Electronic)9781450380966
DOIs
Publication statusPublished - 2021
EventInternational Conference on Human Factors in Computing Systems 2021 - Online, Yokohama, Japan
Duration: 8 May 202113 May 2021
Conference number: 39th
https://dl.acm.org/doi/book/10.1145/3411763 (Proceedings)
https://dl.acm.org/doi/proceedings/10.1145/3411764 (Proceedings)

Conference

ConferenceInternational Conference on Human Factors in Computing Systems 2021
Abbreviated titleCHI 2021
CountryJapan
CityYokohama
Period8/05/2113/05/21
Internet address

Keywords

  • Data representation
  • Food
  • Human-food interaction

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