Miss DAMLA KILIC DAMLA.KILIC3@NOTTINGHAM.AC.UK
Teaching Associate
The cardboard box study: understanding collaborative data management in the connected home
Kilic, Damla; Crabtree, Andy; McGarry, Glenn; Goulden, Murray
Authors
Professor Andy Crabtree ANDY.CRABTREE@NOTTINGHAM.AC.UK
PROFESSOR OF COMPUTER SCIENCE
Dr Glenn McGarry GLENN.MCGARRY@NOTTINGHAM.AC.UK
RESEARCH FELLOW
Dr Murray Goulden MURRAY.GOULDEN@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Abstract
The home is a site marked by the increasing collection and use of personal data, whether online or from connected devices. This trend is accompanied by new data protection regulation and the development of privacy enhancing technologies (PETs) that seek to enable individual control over the processing of personal data. However, a great deal of the data generated within the connected home is interpersonal in nature and cannot therefore be attributed to an individual. The cardboard box study adapts the technology probe approach to explore with potential end users the salience of a PET called the Databox and to understand the challenge of collaborative rather than individual data management in the home. The cardboard box study was designed as an ideation card game and conducted with 22 households distributed around the UK, providing us with 38 participants. Demographically, our participants were of varying ages and had a variety of occupational backgrounds and differing household situations. The study makes it perspicuous that privacy is not a ubiquitous concern within the home as a great deal of data is shared by default of people living together; that when privacy is occasioned it performs a distinct social function that is concerned with human security and the safety and integrity of people rather than devices and data; and that current ‘interdependent privacy’ solutions that seek to support collaborative data management are not well aligned with the ways access control is negotiated and managed within the home.
Citation
Kilic, D., Crabtree, A., McGarry, G., & Goulden, M. (2022). The cardboard box study: understanding collaborative data management in the connected home. Personal and Ubiquitous Computing, 26(1), 155-176. https://doi.org/10.1007/s00779-021-01655-9
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 15, 2021 |
Online Publication Date | Oct 8, 2021 |
Publication Date | Feb 1, 2022 |
Deposit Date | Oct 13, 2021 |
Publicly Available Date | Oct 13, 2021 |
Journal | Personal and Ubiquitous Computing |
Print ISSN | 1617-4909 |
Electronic ISSN | 1617-4917 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 26 |
Issue | 1 |
Pages | 155-176 |
DOI | https://doi.org/10.1007/s00779-021-01655-9 |
Keywords | Management Science and Operations Research; Computer Science Applications; Hardware and Architecture |
Public URL | https://nottingham-repository.worktribe.com/output/6457354 |
Publisher URL | https://link.springer.com/article/10.1007/s00779-021-01655-9 |
Files
The cardboard box study: understanding collaborative data management in the connected home
(3.3 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Designing Prosocial More-Than-Human Rhetoric within Experiential Futures
(2024)
Presentation / Conference Contribution
Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI
(2024)
Presentation / Conference Contribution
AI and the iterable epistopics of risk
(2024)
Journal Article
Making of an Adaptive Podcast that Engenders Trust through Data Negotiability
(2024)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search