Lune

CHI2020Top-tier venue

Imagining Data-Objects for Reflective Self-Tracking

Maria Karyda, Merja Ryöppy, Jacob Buur, Andrés Lucero

2020Year
23Citations
1Top-tier citations

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.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext b3480a2d-3998-47c5-b3b5-e359404dbca4

Cited by top-tier papers1

Ask how each one uses it

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines