Imagining Data-Objects for Reflective Self-Tracking

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Conference article in proceedings
Date
2020-04-21
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Language
en
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CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Conference on Human Factors in Computing Systems - Proceedings
Abstract
While self-tracking data is typically captured real-time in a lived experience, the data is often stored in a manner detached from the context where it belongs. Research has shown that there is a potential to enhance people's lived experiences with data-objects (artifacts representing contextually relevant data), for individual and collective reflections through a physical portrayal of data. This paper expands that research by studying how to design contextually relevant data-objects based on people's needs. We conducted a participatory research project with five households using object theater as a core method to encourage participants to speculate upon combinations of meaningful objects and personal data archives. In this paper, we detail three aspects that seem relevant for designing data-objects: social sharing, contextual ambiguity and interaction with the body. We show how an experience-centric view on data-objects can contribute with the contextual, social and bodily interplay between people, data and objects.
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Keywords
data-objects, experience, object theater, personal objects
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Citation
Karyda, M, Ryöppy, M, Buur, J & Lucero, A 2020, Imagining Data-Objects for Reflective Self-Tracking . in CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems ., 3376844, Conference on Human Factors in Computing Systems - Proceedings, ACM, ACM SIGCHI Annual Conference on Human Factors in Computing Systems, Honolulu, Hawaii, United States, 26/04/2020 . https://doi.org/10.1145/3313831.3376844