Ambiguity for Social Self-tracking Practices: Exploring an Emerging Design Space

Chiara Di Lodovico*, Sara Colombo, Amon Rapp

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Ambiguity is gaining attention in self-tracking research as a means to go beyond the mere quantification of body signals. Recent research has suggested that ambiguity can be used even to enable social connection mediated by personal data. To explore this design space more widely, we organized two design workshops with a total of 67 participants. In this paper, we present three design concepts, as outcomes of the workshops, which use ambiguity to enable social self-tracking practices. We then discuss how these concepts demonstrate the potential of ambiguity to encourage collective sense-making, directly impact the user's social relationships, and offer multifaceted perspectives on reality.

Original languageEnglish
Title of host publicationCSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing
EditorsMorgan Ames, Susan Fussell, Eric Gilbert, Vera Liao, Xiaojuan Ma, Xinru Page, Mark Rouncefield, Vivek Singh, Pamela Wisniewski
PublisherACM
Pages144-148
Number of pages5
ISBN (Electronic)9798400701290
DOIs
Publication statusPublished - 2023
Event26th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2023 - Minneapolis, United States
Duration: 14 Oct 202318 Oct 2023

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference26th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2023
Country/TerritoryUnited States
CityMinneapolis
Period14/10/2318/10/23

Keywords

  • Ambiguity
  • Biosensing technologies
  • Design workshop
  • Social relations
  • Social self-tracking

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