A Quantified Past: Toward Design for Remembering with Personal Informatics
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 216026-134883-1292
- Type
- D - Journal article
- DOI
-
10.1080/07370024.2015.1093422
- Title of journal
- Human–Computer Interaction
- Article number
- -
- First page
- 518
- Volume
- 31
- Issue
- 6
- ISSN
- 0737-0024
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2015
- URL
-
https://doi.org/10.1080/07370024.2015.1093422
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
C - Open Lab
- Citation count
- 28
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper pioneered qualitative approaches to understanding interactions with archived personal data, and was central to lead author’s PhD dissertation (supervised by second and third authors), which was subsequently awarded an ACM SIGCHI Outstanding Dissertation Award (2019), cited by the international committee as “an exquisitely written exploration of the relationship people can have and want to have with self-tracking tools”. Well cited since publication, the research on personal tracking led on to a further ACM CHI conference workshop, attended by researchers from the USA, Sweden, Netherlands, UK, Germany, Denmark and Belgium: [Beyond Personal Informatics: https://doi.org/10.1145/2702613.2702632]
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -