{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:46:02Z","timestamp":1775155562437,"version":"3.50.1"},"reference-count":205,"publisher":"Emerald","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,8]]},"abstract":"<jats:p>As data-driven health technologies such as mobile health apps, wearable devices, and smart medical devices advance and become more pervasive, the datafication of personal health research has grown substantially in recent years. However, the field has primarily focused on adult users, leaving a limited understanding of children\u2019s data practices and technology for managing their health and well-being. Given children\u2019s unique skills, needs, and experiences concerning technology use and self-care compared to adults, it is crucial to explore their perspectives on personal health datafication. Such inquiry will help bridge the knowledge gap and inform the development of age-appropriate, engaging, and effective health technologies that cater to children.<\/jats:p>\n                  <jats:p>In this work, we first present an overview of the history of personal health datafication research, child development theories, and child-computer interaction studies, primarily focusing on HCI. Subsequently, we conducted a systematic literature review to understand the broader landscape and identify opportunities for future research on data-driven technology for children\u2019s health. We analyzed health datafication papers centered on children (birth to 18 years old) that appeared in ACM\u2019s library, IEEE Xplore, and PubMed from 2011 to 2021. This work contributes to the literature by (1) characterizing the trends in children\u2019s health datafication research, including identifying dimensions and study characteristics that received wide attention, as well as areas that are underexplored, (2) reflecting on key research themes to guide future health datafication research focused on children, and (3) providing recommendations for future research and design of data-driven technologies that support children\u2019s health and wellbeing.<\/jats:p>","DOI":"10.1561\/1100000090","type":"journal-article","created":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T06:10:41Z","timestamp":1699855841000},"page":"1-99","source":"Crossref","is-referenced-by-count":7,"title":["Data-Driven Technology for Children\u2019s Health and Wellbeing: A Systematic Review"],"prefix":"10.1561","volume":"18","author":[{"given":"Zhaoyuan","family":"Su","sequence":"first","affiliation":[{"name":"University of California , ,","place":["Irvine, USA"]}]},{"given":"Yunan","family":"Chen","sequence":"additional","affiliation":[{"name":"University of California , ,","place":["Irvine, USA"]}]}],"member":"140","published-online":{"date-parts":[[2024,1,8]]},"reference":[{"issue":"10","key":"2026040213465291300_ref001","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1037\/0003-066X.34.10.932","article-title":"\u201cInfant-mother attachment\u201d","volume":"34","author":"Ainsworth","year":"1979","journal-title":"American Psychologist"},{"key":"2026040213465291300_ref002","doi-asserted-by":"publisher","first-page":"2055207616689509","DOI":"10.1177\/2055207616689509","article-title":"\u201cDigital health and the biopolitics of the quantified self\u201d","volume":"3","author":"Ajana","year":"2017","journal-title":"Digital Health"},{"issue":"1","key":"2026040213465291300_ref003","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1111\/j.1467-8624.1994.tb00743.x","article-title":"\u201cLongitudinal assessment of autonomy 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