Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review
[Display omitted] •This review synthesizes evidence from 463 studies of wearable activity trackers (WAT).•We identify six themes that capture the research trends in these studies.•The themes are technology, data, acceptance, medical, behavior change, and privacy.•Direction for research is offered ba...
Gespeichert in:
Veröffentlicht in: | Journal of biomedical informatics 2019-05, Vol.93, p.103153-103153, Article 103153 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 103153 |
---|---|
container_issue | |
container_start_page | 103153 |
container_title | Journal of biomedical informatics |
container_volume | 93 |
creator | Shin, Grace Jarrahi, Mohammad Hossein Fei, Yu Karami, Amir Gafinowitz, Nicci Byun, Ahjung Lu, Xiaopeng |
description | [Display omitted]
•This review synthesizes evidence from 463 studies of wearable activity trackers (WAT).•We identify six themes that capture the research trends in these studies.•The themes are technology, data, acceptance, medical, behavior change, and privacy.•Direction for research is offered based on a triad of information, technology and people.
Wearable activity trackers (WAT) are electronic monitoring devices that enable users to track and monitor their health-related physical fitness metrics including steps taken, level of activity, walking distance, heart rate, and sleep patterns. Despite the proliferation of these devices in various contexts of use and rising research interests, there is limited understanding of the broad research landscape. The purpose of this systematic review is therefore to synthesize the existing wealth of research on WAT, and to provide a comprehensive summary based on common themes and approaches. This article includes academic work published between 2013 and 2017 in PubMed, Embase, Scopus, Web of Science, ACM Digital Library, and Google Scholar. A final list of 463 articles was analyzed for this review. Topic modeling methods were used to identify six key themes (topics) of WAT research, namely: (1) Technology Focus, (2) Patient Treatment and Medical Settings, (3) Behavior Change, (4) Acceptance and Adoption (Abandonment), (5) Self-monitoring Data Centered, and (6) Privacy. We take an interdisciplinary approach to wearable activity trackers to propose several new research questions. The most important research gap we identify is to attempt to understand the rich human-information interaction that is enabled by WAT adoption. |
doi_str_mv | 10.1016/j.jbi.2019.103153 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2197891902</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1532046419300711</els_id><sourcerecordid>2197891902</sourcerecordid><originalsourceid>FETCH-LOGICAL-c462t-4e4b158483c0f131a0c2c9021baab70192f3f3b820061255f9324f6f65fde5893</originalsourceid><addsrcrecordid>eNp9kM1OwzAQhC0EoqXwAFxQjhxo8dpJmsCpqviTKnEBcbQcZ626JE2wnaK8PS4tPXKxd1czI81HyCXQCVBIb1eTVWEmjEIedg4JPyLD8LIxjTN6fJjTeEDOnFtRCpAk6SkZcJoDTRkfkuoDpZVFhZFU3myM7yNvpfpE627CSXVh6cNUNq03zfr3hq2XaxUc6zJaoqz8MjJ1G_x30SxyvfNYS29UVBmPVvrOYmRxY_D7nJxoWTm82P8j8v748DZ_Hi9en17ms8VYxSnz4xjjApIszriiGjhIqpjKKYNCymIa2jLNNS8yRmkKLEl0zlmsU50musQky_mIXO9yW9t8dei8qI1TWFVyjU3nBIN8muUQIoMUdlJlG-csatFaU0vbC6BiC1msRIAstpDFDnLwXO3ju6LG8uD4oxoE9zsBhpKhuBVOGQzISmNReVE25p_4Hy2OjJA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2197891902</pqid></control><display><type>article</type><title>Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review</title><source>Elsevier ScienceDirect Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Shin, Grace ; Jarrahi, Mohammad Hossein ; Fei, Yu ; Karami, Amir ; Gafinowitz, Nicci ; Byun, Ahjung ; Lu, Xiaopeng</creator><creatorcontrib>Shin, Grace ; Jarrahi, Mohammad Hossein ; Fei, Yu ; Karami, Amir ; Gafinowitz, Nicci ; Byun, Ahjung ; Lu, Xiaopeng</creatorcontrib><description>[Display omitted]
•This review synthesizes evidence from 463 studies of wearable activity trackers (WAT).•We identify six themes that capture the research trends in these studies.•The themes are technology, data, acceptance, medical, behavior change, and privacy.•Direction for research is offered based on a triad of information, technology and people.
Wearable activity trackers (WAT) are electronic monitoring devices that enable users to track and monitor their health-related physical fitness metrics including steps taken, level of activity, walking distance, heart rate, and sleep patterns. Despite the proliferation of these devices in various contexts of use and rising research interests, there is limited understanding of the broad research landscape. The purpose of this systematic review is therefore to synthesize the existing wealth of research on WAT, and to provide a comprehensive summary based on common themes and approaches. This article includes academic work published between 2013 and 2017 in PubMed, Embase, Scopus, Web of Science, ACM Digital Library, and Google Scholar. A final list of 463 articles was analyzed for this review. Topic modeling methods were used to identify six key themes (topics) of WAT research, namely: (1) Technology Focus, (2) Patient Treatment and Medical Settings, (3) Behavior Change, (4) Acceptance and Adoption (Abandonment), (5) Self-monitoring Data Centered, and (6) Privacy. We take an interdisciplinary approach to wearable activity trackers to propose several new research questions. The most important research gap we identify is to attempt to understand the rich human-information interaction that is enabled by WAT adoption.</description><identifier>ISSN: 1532-0464</identifier><identifier>EISSN: 1532-0480</identifier><identifier>DOI: 10.1016/j.jbi.2019.103153</identifier><identifier>PMID: 30910623</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Acceptance and adoption (abandonment) ; Medical informatics ; Personal informatics ; Physical activity ; Quantified selfers ; Ubiquitous computing ; Wearable activity trackers</subject><ispartof>Journal of biomedical informatics, 2019-05, Vol.93, p.103153-103153, Article 103153</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright © 2019 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c462t-4e4b158483c0f131a0c2c9021baab70192f3f3b820061255f9324f6f65fde5893</citedby><cites>FETCH-LOGICAL-c462t-4e4b158483c0f131a0c2c9021baab70192f3f3b820061255f9324f6f65fde5893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jbi.2019.103153$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,45974</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30910623$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shin, Grace</creatorcontrib><creatorcontrib>Jarrahi, Mohammad Hossein</creatorcontrib><creatorcontrib>Fei, Yu</creatorcontrib><creatorcontrib>Karami, Amir</creatorcontrib><creatorcontrib>Gafinowitz, Nicci</creatorcontrib><creatorcontrib>Byun, Ahjung</creatorcontrib><creatorcontrib>Lu, Xiaopeng</creatorcontrib><title>Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review</title><title>Journal of biomedical informatics</title><addtitle>J Biomed Inform</addtitle><description>[Display omitted]
•This review synthesizes evidence from 463 studies of wearable activity trackers (WAT).•We identify six themes that capture the research trends in these studies.•The themes are technology, data, acceptance, medical, behavior change, and privacy.•Direction for research is offered based on a triad of information, technology and people.
Wearable activity trackers (WAT) are electronic monitoring devices that enable users to track and monitor their health-related physical fitness metrics including steps taken, level of activity, walking distance, heart rate, and sleep patterns. Despite the proliferation of these devices in various contexts of use and rising research interests, there is limited understanding of the broad research landscape. The purpose of this systematic review is therefore to synthesize the existing wealth of research on WAT, and to provide a comprehensive summary based on common themes and approaches. This article includes academic work published between 2013 and 2017 in PubMed, Embase, Scopus, Web of Science, ACM Digital Library, and Google Scholar. A final list of 463 articles was analyzed for this review. Topic modeling methods were used to identify six key themes (topics) of WAT research, namely: (1) Technology Focus, (2) Patient Treatment and Medical Settings, (3) Behavior Change, (4) Acceptance and Adoption (Abandonment), (5) Self-monitoring Data Centered, and (6) Privacy. We take an interdisciplinary approach to wearable activity trackers to propose several new research questions. The most important research gap we identify is to attempt to understand the rich human-information interaction that is enabled by WAT adoption.</description><subject>Acceptance and adoption (abandonment)</subject><subject>Medical informatics</subject><subject>Personal informatics</subject><subject>Physical activity</subject><subject>Quantified selfers</subject><subject>Ubiquitous computing</subject><subject>Wearable activity trackers</subject><issn>1532-0464</issn><issn>1532-0480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kM1OwzAQhC0EoqXwAFxQjhxo8dpJmsCpqviTKnEBcbQcZ626JE2wnaK8PS4tPXKxd1czI81HyCXQCVBIb1eTVWEmjEIedg4JPyLD8LIxjTN6fJjTeEDOnFtRCpAk6SkZcJoDTRkfkuoDpZVFhZFU3myM7yNvpfpE627CSXVh6cNUNq03zfr3hq2XaxUc6zJaoqz8MjJ1G_x30SxyvfNYS29UVBmPVvrOYmRxY_D7nJxoWTm82P8j8v748DZ_Hi9en17ms8VYxSnz4xjjApIszriiGjhIqpjKKYNCymIa2jLNNS8yRmkKLEl0zlmsU50musQky_mIXO9yW9t8dei8qI1TWFVyjU3nBIN8muUQIoMUdlJlG-csatFaU0vbC6BiC1msRIAstpDFDnLwXO3ju6LG8uD4oxoE9zsBhpKhuBVOGQzISmNReVE25p_4Hy2OjJA</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Shin, Grace</creator><creator>Jarrahi, Mohammad Hossein</creator><creator>Fei, Yu</creator><creator>Karami, Amir</creator><creator>Gafinowitz, Nicci</creator><creator>Byun, Ahjung</creator><creator>Lu, Xiaopeng</creator><general>Elsevier Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201905</creationdate><title>Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review</title><author>Shin, Grace ; Jarrahi, Mohammad Hossein ; Fei, Yu ; Karami, Amir ; Gafinowitz, Nicci ; Byun, Ahjung ; Lu, Xiaopeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c462t-4e4b158483c0f131a0c2c9021baab70192f3f3b820061255f9324f6f65fde5893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acceptance and adoption (abandonment)</topic><topic>Medical informatics</topic><topic>Personal informatics</topic><topic>Physical activity</topic><topic>Quantified selfers</topic><topic>Ubiquitous computing</topic><topic>Wearable activity trackers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shin, Grace</creatorcontrib><creatorcontrib>Jarrahi, Mohammad Hossein</creatorcontrib><creatorcontrib>Fei, Yu</creatorcontrib><creatorcontrib>Karami, Amir</creatorcontrib><creatorcontrib>Gafinowitz, Nicci</creatorcontrib><creatorcontrib>Byun, Ahjung</creatorcontrib><creatorcontrib>Lu, Xiaopeng</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomedical informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shin, Grace</au><au>Jarrahi, Mohammad Hossein</au><au>Fei, Yu</au><au>Karami, Amir</au><au>Gafinowitz, Nicci</au><au>Byun, Ahjung</au><au>Lu, Xiaopeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review</atitle><jtitle>Journal of biomedical informatics</jtitle><addtitle>J Biomed Inform</addtitle><date>2019-05</date><risdate>2019</risdate><volume>93</volume><spage>103153</spage><epage>103153</epage><pages>103153-103153</pages><artnum>103153</artnum><issn>1532-0464</issn><eissn>1532-0480</eissn><abstract>[Display omitted]
•This review synthesizes evidence from 463 studies of wearable activity trackers (WAT).•We identify six themes that capture the research trends in these studies.•The themes are technology, data, acceptance, medical, behavior change, and privacy.•Direction for research is offered based on a triad of information, technology and people.
Wearable activity trackers (WAT) are electronic monitoring devices that enable users to track and monitor their health-related physical fitness metrics including steps taken, level of activity, walking distance, heart rate, and sleep patterns. Despite the proliferation of these devices in various contexts of use and rising research interests, there is limited understanding of the broad research landscape. The purpose of this systematic review is therefore to synthesize the existing wealth of research on WAT, and to provide a comprehensive summary based on common themes and approaches. This article includes academic work published between 2013 and 2017 in PubMed, Embase, Scopus, Web of Science, ACM Digital Library, and Google Scholar. A final list of 463 articles was analyzed for this review. Topic modeling methods were used to identify six key themes (topics) of WAT research, namely: (1) Technology Focus, (2) Patient Treatment and Medical Settings, (3) Behavior Change, (4) Acceptance and Adoption (Abandonment), (5) Self-monitoring Data Centered, and (6) Privacy. We take an interdisciplinary approach to wearable activity trackers to propose several new research questions. The most important research gap we identify is to attempt to understand the rich human-information interaction that is enabled by WAT adoption.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30910623</pmid><doi>10.1016/j.jbi.2019.103153</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1532-0464 |
ispartof | Journal of biomedical informatics, 2019-05, Vol.93, p.103153-103153, Article 103153 |
issn | 1532-0464 1532-0480 |
language | eng |
recordid | cdi_proquest_miscellaneous_2197891902 |
source | Elsevier ScienceDirect Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Acceptance and adoption (abandonment) Medical informatics Personal informatics Physical activity Quantified selfers Ubiquitous computing Wearable activity trackers |
title | Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T06%3A30%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Wearable%20activity%20trackers,%20accuracy,%20adoption,%20acceptance%20and%20health%20impact:%20A%20systematic%20literature%20review&rft.jtitle=Journal%20of%20biomedical%20informatics&rft.au=Shin,%20Grace&rft.date=2019-05&rft.volume=93&rft.spage=103153&rft.epage=103153&rft.pages=103153-103153&rft.artnum=103153&rft.issn=1532-0464&rft.eissn=1532-0480&rft_id=info:doi/10.1016/j.jbi.2019.103153&rft_dat=%3Cproquest_cross%3E2197891902%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2197891902&rft_id=info:pmid/30910623&rft_els_id=S1532046419300711&rfr_iscdi=true |