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An ethical framework for automated, wearable cameras in health behavior research.
Abstract
Technologic advances mean automated, wearable cameras are now feasible for investigating health behaviors in a public health context. This paper attempts to identify and discuss the ethical implications of such research, in relation to existing guidelines for ethical research in traditional visual methodologies. Research using automated, wearable cameras can be very intrusive, generating unprecedented levels of image data, some of it potentially unflattering or unwanted. Participants and third parties they encounter may feel uncomfortable or that their privacy has been affected negatively. This paper attempts to formalize the protection of all according to best ethical principles through the development of an ethical framework. Respect for autonomy, through appropriate approaches to informed consent and adequate privacy and confidentiality controls, allows for ethical research, which has the potential to confer substantial benefits on the field of health behavior research.
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Metadata
- Authors
- Kelly, P., Marshall, S. J., Badland, H., Kerr, J., Oliver, M., Doherty, A. R., & Foster, C.
- Affiliations
- British Heart Foundation (GB)
- University of California San Diego (US)
- The University of Melbourne (AU)
- Auckland University of Technology (NZ)
- Venue
- American Journal of Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 44
- Issue
- 3
- Pages
- 314-319
- ISSN
- 0749-3797 (ISSN-L)
- OpenAlex
- W1991731112
- Cited by
- 244
- References
- 13
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 20 · 2023: 16 · 2022: 10 · 2021: 16 · 2020: 19 · 2019: 25 · 2018: 17 · 2017: 24 · 2016: 23 · 2015: 20 · 2014: 18 · 2013: 11
- FWCI
- 74.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- RMIT Research Repository (RMIT University Library) (submittedVersion)
- Figshare (submittedVersion)
- Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion)
- Funders
- British Heart Foundation (021/P&C/core/2010/HPRG)
- Irish Health Research Board (MCPD/2010/12)
- Topics
- Social Sciences › Sociology and Political Science › Participatory Visual Research Methods
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- health behavior research, research ethics, ethical frameworks, privacy, confidentiality, informed consent, respect for autonomy, visual methods, image data, disease surveillance
- MeSH terms
- Confidentiality, Health Surveys, Humans, Informed Consent, Interpersonal Relations, Photography, Health Behavior, Computers, Handheld, Cell Phone
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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