Literature DB >> 23415131

An ethical framework for automated, wearable cameras in health behavior research.

Paul Kelly1, Simon J Marshall, Hannah Badland, Jacqueline Kerr, Melody Oliver, Aiden R Doherty, Charlie Foster.   

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.
Copyright © 2013 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23415131     DOI: 10.1016/j.amepre.2012.11.006

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  55 in total

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Review 6.  Wearable Cameras Are Useful Tools to Investigate and Remediate Autobiographical Memory Impairment: A Systematic PRISMA Review.

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