Reconstructing Intimate Contexts through Data Donation

Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies

Gomez Ortega, A. (TU Delft Internet of Things)
Bourgeois, Jacky (TU Delft Internet of Things)
Kortuem, Gerd (TU Delft Internet of Things)

2022

Ubiquitous wearable and mobile technologies generate vast amounts of data from sensors and self-logging applications. This data creates opportunities to better understand people’s behavior and inform research on intimate topics such as menstruation. However, in design and HCI research, reconstructing the context in which data was collected and understanding the lived experience behind the data often requires the active participation of people. In this paper, we augment the concept of data donation beyond data collection to explore the possibilities of actively engaging data donors in the (intimate) interpretation of their data. Specifically, we define and implement a menstrual logs data donation journey. We received data sets from 35 donors over five weeks, 13 of whom participated in reconstructing the context of their data. We translate our experience into a conceptualization of designerly data donation around the data, data donors, and data receivers, which we discuss along with its implications.

Data Donation
Personal Data
Intimate Data
Data-Centric Design
Menstrual Tracking
Self-Tracking

http://resolver.tudelft.nl/uuid:03f30f02-d764-4f08-92fc-3ee1475f0663

https://doi.org/10.1145/3546155.3546646

Association for Computing Machinery (ACM), Aarhus, Denmark

978-1-4503-9699-8

Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022

NordiCHI 2022, 2022-10-08 → 2022-10-12, Aarhus, Denmark

ACM International Conference Proceeding Series

Institutional Repository

conference paper

© 2022 A. Gomez Ortega, Jacky Bourgeois, Gerd Kortuem