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

A. Gomez Ortega; J. Bourgeois; G.W. Kortuem

doi:10.1145/3546155.3546646

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

A. Gomez Ortega, J. Bourgeois, G.W. Kortuem

Internet of Things

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

47 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022
Place of Publication	Aarhus, Denmark
Publisher	Association for Computing Machinery (ACM)
Number of pages	13
ISBN (Electronic)	9781450396998
ISBN (Print)	978-1-4503-9699-8
DOIs	https://doi.org/10.1145/3546155.3546646
Publication status	Published - 2022
Event	NordiCHI 2022 - Aarhus, Denmark Duration: 8 Oct 2022 → 12 Oct 2022

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	NordiCHI 2022
Country/Territory	Denmark
City	Aarhus
Period	8/10/22 → 12/10/22

Keywords

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

Access to Document

10.1145/3546155.3546646

nordichi22-8Final published version, 2.12 MBLicence: CC BY

Cite this

Gomez Ortega, A., Bourgeois, J., & Kortuem, G. W. (2022). Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies. In Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022 Article 3546646 (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3546155.3546646

Gomez Ortega, A. ; Bourgeois, J. ; Kortuem, G.W. / Reconstructing Intimate Contexts through Data Donation : A Case Study in Menstrual Tracking Technologies. Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022. Aarhus, Denmark : Association for Computing Machinery (ACM), 2022. (ACM International Conference Proceeding Series).

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title = "Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies",

abstract = "Ubiquitous wearable and mobile technologies generate vast amounts of data from sensors and self-logging applications. This data creates opportunities to better understand people{\textquoteright}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.",

keywords = "Data Donation, Personal Data, Intimate Data, Data-Centric Design, Menstrual Tracking, Self-Tracking",

author = "{Gomez Ortega}, A. and J. Bourgeois and G.W. Kortuem",

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

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Gomez Ortega, A , Bourgeois, J & Kortuem, GW 2022, Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies. in Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022., 3546646, ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), Aarhus, Denmark, NordiCHI 2022, Aarhus, Denmark, 8/10/22. https://doi.org/10.1145/3546155.3546646

Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies. / Gomez Ortega, A.; Bourgeois, J.; Kortuem, G.W.
Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022. Aarhus, Denmark: Association for Computing Machinery (ACM), 2022. 3546646 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Bourgeois, J.

AU - Kortuem, G.W.

PY - 2022

Y1 - 2022

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AB - 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.

KW - Data Donation

KW - Personal Data

KW - Intimate Data

KW - Data-Centric Design

KW - Menstrual Tracking

KW - Self-Tracking

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M3 - Conference contribution

SN - 978-1-4503-9699-8

T3 - ACM International Conference Proceeding Series

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

PB - Association for Computing Machinery (ACM)

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Gomez Ortega A , Bourgeois J , Kortuem GW. Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies. In Participative Computing for Sustainable Futures - Proceedings of the 12th Nordic Conference on Human-Computer Interaction, NordiCHI 2022. Aarhus, Denmark: Association for Computing Machinery (ACM). 2022. 3546646. (ACM International Conference Proceeding Series). doi: 10.1145/3546155.3546646

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Data underlying the paper: "Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies." Included in Chapter 3 of the PhD thesis: Sensitive Data Donation

Cite this

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Datasets

Data underlying the paper: "Reconstructing Intimate Contexts through Data Donation: A Case Study in Menstrual Tracking Technologies." Included in Chapter 3 of the PhD thesis: Sensitive Data Donation

Cite this