Ambiguity for Social Self-tracking Practices
Exploring an Emerging Design Space
Chiara Di Lodovico (Politecnico di Milano)
Sara Colombo (TU Delft - Human-Centred Artificial Intelligence)
Amon Rapp (University of Turin)
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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.