Literature DB >> 29355784

User acceptance of location-tracking technologies in health research: Implications for study design and data quality.

Jean Hardy1, Tiffany C Veinot2, Xiang Yan3, Veronica J Berrocal4, Philippa Clarke5, Robert Goodspeed3, Iris N Gomez-Lopez1, Daniel Romero1, V G Vinod Vydiswaran6.   

Abstract

Research regarding place and health has undergone a revolution due to the availability of consumer-focused location-tracking devices that reveal fine-grained details of human mobility. Such research requires that participants accept such devices enough to use them in their daily lives. There is a need for a theoretically grounded understanding of acceptance of different location-tracking technology options, and its research implications. Guided by an extended Unified Theory of Acceptance and Use of Technology (UTAUT), we conducted a 28-day field study comparing 21 chronically ill people's acceptance of two leading, consumer-focused location-tracking technologies deployed for research purposes: (1) a location-enabled smartphone, and (2) a GPS watch/activity tracker. Participants used both, and completed two surveys and qualitative interviews. Findings revealed that all participants exerted effort to facilitate data capture, such as by incorporating devices into daily routines and developing workarounds to keep devices functioning. Nevertheless, the smartphone was perceived to be significantly easier and posed fewer usability challenges for participants than the watch. Older participants found the watch significantly more difficult to use. For both devices, effort expectancy was significantly associated with future willingness to participate in research although prosocial motivations overcame some concerns. Social influence, performance expectancy and use behavior were significantly associated with intentions to use the devices in participants' personal lives. Data gathered via the smartphone was significantly more complete than data gathered via the watch, primarily due to usability challenges. To make longer-term participation in location tracking research a reality, and to achieve complete data capture, researchers must minimize the effort involved in participation; this requires usable devices. For long-term location-tracking studies using similar devices, findings indicate that only smartphone-based tracking is up to the challenge.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Data quality; GPS watches; Health behavior; Location-tracking; Smartphones; User acceptance

Mesh:

Year:  2018        PMID: 29355784     DOI: 10.1016/j.jbi.2018.01.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  9 in total

1.  Social determinants of health in mental health care and research: a case for greater inclusion.

Authors:  Joseph J Deferio; Scott Breitinger; Dhruv Khullar; Amit Sheth; Jyotishman Pathak
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

2.  Good intentions are not enough: how informatics interventions can worsen inequality.

Authors:  Tiffany C Veinot; Hannah Mitchell; Jessica S Ancker
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

Review 3.  Innovations in research and clinical care using patient-generated health data.

Authors:  Heather S L Jim; Aasha I Hoogland; Naomi C Brownstein; Anna Barata; Adam P Dicker; Hans Knoop; Brian D Gonzalez; Randa Perkins; Dana Rollison; Scott M Gilbert; Ronica Nanda; Anders Berglund; Ross Mitchell; Peter A S Johnstone
Journal:  CA Cancer J Clin       Date:  2020-04-20       Impact factor: 508.702

4.  Wireless muometric navigation system.

Authors:  Hiroyuki K M Tanaka
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

Review 5.  Factors Affecting the Quality of Person-Generated Wearable Device Data and Associated Challenges: Rapid Systematic Review.

Authors:  Sylvia Cho; Ipek Ensari; Chunhua Weng; Michael G Kahn; Karthik Natarajan
Journal:  JMIR Mhealth Uhealth       Date:  2021-03-19       Impact factor: 4.773

6.  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

7.  Psychosocial determinants of healthcare personnel's willingness to carry real-time locating system tags during daily inpatient care in hospital managing COVID-19 patients: insights from a mixed-methods analysis.

Authors:  Huiling Guo; Zhilian Huang; Jeanette Y P Yeo; Yinchu Wang; Angela Chow
Journal:  JAMIA Open       Date:  2021-02-05

8.  How consumer digital signals are reshaping the customer journey.

Authors:  David A Schweidel; Yakov Bart; J Jeffrey Inman; Andrew T Stephen; Barak Libai; Michelle Andrews; Ana Babić Rosario; Inyoung Chae; Zoey Chen; Daniella Kupor; Chiara Longoni; Felipe Thomaz
Journal:  J Acad Mark Sci       Date:  2022-02-19

9.  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

  9 in total

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