Dealing with Information Overload in Multifaceted Personal Informatics Systems
- Submitting institution
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The University of Bath
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 157983356
- Type
- D - Journal article
- DOI
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10.1080/07370024.2017.1302334
- Title of journal
- Human-Computer Interaction
- Article number
- -
- First page
- 1
- Volume
- 33
- Issue
- 1
- ISSN
- 0737-0024
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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1
- Research group(s)
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-
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper reveals that users of personal data tracking systems (e.g. for monitoring health) experience problems in interpreting data, due to information overload. This has prompted several research groups to address such issues in emerging systems, including for workplace-based monitoring (Microsoft Research) and making genetic data accessible to non-experts (Open Humans Foundation). It has also influenced the design of a commercial personal informatics system, Exist.io. The results demonstrate the potential of algorithmic filtering for automatically curating data, which numerous subsequent publications have cited as an example of an effective strategy for mitigating information overload issues.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -