Literature DB >> 28915431

Ethical implications of location and accelerometer measurement in health research studies with mobile sensing devices.

Daniel Fuller1, Martine Shareck2, Kevin Stanley3.   

Abstract

Quantification of individual behaviours using mobile sensing devices, including physical activity and spatial location, is a rapidly growing field in both academic research and the corporate world. In this case study, we summarize the literature examining the ethical aspects of mobile sensing and argue that a robust discussion about the ethical implications of mobile sensing for research purposes has not occurred sufficiently in the literature. Based on our literature summary and guided by basic ethical principles set out in Canadian, US, and International Ethics documents we propose four areas where further discussion should occur: consent, privacy and confidentiality, mitigating risk, and consideration of vulnerable populations. We argue that ongoing consent is crucial for participants to be aware of the precision and volume of data that is collected with mobile sensing devices. Related to privacy we discuss that participants may not agree that anonymized data is sufficient for privacy and confidentiality when mobile sensing data are collected. There has been some discussion about mitigating risk in the literature. We highlight that the researchers' obligations toward mitigating risks that are not directly related to the study purpose are unclear and require considerable discussion. Finally, using mobile sensing devices to study vulnerable populations requires careful consideration, particularly with respect to balancing research needs with participant burden. Based on our discussion, we identify a broad set of unanswered questions about the ethics of mobile sensing that should be addressed by the research community.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accelerometery; Ethics; Global positioning system; Informed consent; Location tracking; Privacy

Mesh:

Year:  2017        PMID: 28915431     DOI: 10.1016/j.socscimed.2017.08.043

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  5 in total

1.  Ethical Issues in Democratizing Digital Phenotypes and Machine Learning in the Next Generation of Digital Health Technologies.

Authors:  Maurice D Mulvenna; Raymond Bond; Jack Delaney; Fatema Mustansir Dawoodbhoy; Jennifer Boger; Courtney Potts; Robin Turkington
Journal:  Philos Technol       Date:  2021-03-21

2.  Combining Global Positioning System (GPS) with saliva collection among sexual minority adults: A feasibility study.

Authors:  Tzuan A Chen; Nathan Grant Smith; Seann D Regan; Ezemenari M Obasi; Kathryn Freeman Anderson; Lorraine R Reitzel
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

3.  Investigating the concept of participant burden in aging technology research.

Authors:  Katarzyna Kabacińska; Nicole Sharma; Jeffrey Kaye; Nora Mattek; Boris Kuzeljevic; Julie M Robillard
Journal:  BMC Geriatr       Date:  2020-02-12       Impact factor: 3.921

4.  Comparing the Data Quality of Global Positioning System Devices and Mobile Phones for Assessing Relationships Between Place, Mobility, and Health: Field Study.

Authors:  Robert Goodspeed; Xiang Yan; Jean Hardy; V G Vinod Vydiswaran; Veronica J Berrocal; Philippa Clarke; Daniel M Romero; Iris N Gomez-Lopez; Tiffany Veinot
Journal:  JMIR Mhealth Uhealth       Date:  2018-08-13       Impact factor: 4.773

5.  Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning.

Authors:  Liangyuan Na; Cong Yang; Chi-Cheng Lo; Fangyuan Zhao; Yoshimi Fukuoka; Anil Aswani
Journal:  JAMA Netw Open       Date:  2018-12-07
  5 in total

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