[1] LI C, LIN S, CHIB A. The state of wearable health technologies:a transdisciplinary literature review[J]. Mobile media & communication, 2021, 9(2):353-376.
[2] ATTIG C, FRANKE T. Abandonment of personal quantification:a review and empirical study investigating reasons for wearable activity tracking attrition[J]. Computers in human behavior, 2020, 102(1):223-237.
[3] PATEL S, ASCH A, VOLPP G. Wearable devices as facilitators, not drivers, of health behavior change[J]. Journal of American Medical Association, 2015, 313(5):459-460.
[4] BINYAMIN S S, HOQUE M R. Understanding the drivers of wearable health monitoring technology:an extension of the unified theory of acceptance and use of technology[J]. Sustainability, 2020, 12(22):1-20.
[5] MEIER D Y, BARTHELMESS P, SUN W, et al. Wearable technology acceptance in health care based on national culture differences:cross-country analysis between Chinese and Swiss consumers[J]. Journal of medical Internet research, 2020, 22(10):e18801.
[6] FEEHAN L M, GELDMAN J, SAYRE E C, et al. Accuracy of Fitbit devices:systematic review and narrative syntheses of quantitative data[J]. JMIR mhealth and uhealth, 2018, 6(8):e10527.
[7] LI C, CHEN X, BI X. Wearable activity trackers for promoting physical activity:a systematic meta-analytic review[J]. International journal of medical informatics, 2021, 152:e104487.
[8] 吴江, 曾敏讷, 刘福珍,等. 基于元分析方法的可穿戴设备用户采纳行为研究[J]. 信息资源管理学报, 2017, 7(2):5-13.
[9] 夏恩君, 张真铭. 预防性技术采用元分析及其对创新鸿沟跨越的启示——以可穿戴医疗健康设备为例[J]. 技术经济, 2020, 39(2):134-143.
[10] HIGGINS J P, THOMAS J, CHANDLER J, et al. Cochrane handbook for systematic reviews of interventions[M]. Chichester:John Wiley & Sons, 2019.
[11] GRANT M J, BOOTH A. A typology of reviews:an analysis of 14 review types and associated methodologies[J]. Health information and libraries journal, 2009, 26(2):91-108.
[12] LIBERATI A, ALTMAN D G, TETZLAFF J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions:explanation and elaboration[J]. BMJ, 2009, 339:b2700.
[13] WAGNER J B, MINJE K, TASSÉ M J, et al. Technology tools:increasing our reach in national surveillance of intellectual and developmental disabilities[J]. Intellectual & developmental disabilities, 2019, 57(5):463-475.
[14] 朱亚琳,金灿灿. 黑暗三联征与攻击行为关系的元分析[J]. 心理科学进展, 2021, 29(7):1195-1209.
[15] SCHMIDT F L, HUNTER J E. Methods of meta-analysis:correcting error and bias in research findings[M]. 3rd ed.Thousand Oaks:SAGE, 2014.
[16] 严炜炜, 陈若瑜, 张敏. 基于元分析的在线知识付费意愿影响因素研究[J]. 情报学报, 2021, 40(2):204-212.
[17] LI J, MA Q, CHAN A H S, et al. Health monitoring through wearable technologies for older adults:smart wearables acceptance model[J]. Applied ergonomics, 2019, 75:162-169.
[18] CHOI B, HWANG S, LEE S. What drives construction workers' acceptance of wearable technologies in the workplace?:indoor localization and wearable health devices for occupational safety and health[J]. Automation in construction, 2017, 84:31-41.
[19] PARK E, KIM K J, KWON S J. Understanding the emergence of wearable devices as next-generation tools for health communication[J]. Information technology & people, 2016, 29(4):717-732.
[20] CHEUNG M L, CHAU K Y, LAM M H S, et al. Examining consumers' adoption of wearable healthcare technology:the role of health attributes[J]. International journal of environmental research and public health, 2019, 16(13):2257-2273.
[21] DAI B Z, LARNYO E, TETTEH E A, et al. Factors affecting caregivers' acceptance of the use of wearable devices by patients with dementia:an extension of the unified theory of acceptance and use of technology model[J]. American journal of alzheimers disease and other dementias, 2020, 35:19883493-19883504.
[22] SERGUEEVA K, SHAW N, LEE S H. Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health[J]. Canadian journal of administrative sciences-revue canadienne des sciences de l administration, 2020, 37(1):45-60.
[23] WANG H L, TAO D, YU N, et al. Understanding consumer acceptance of healthcare wearable devices:an integrated model of UTAUT and TTF[J]. International journal of medical informatics, 2020, 139:104156-104166.
[24] PAPA A, MITAL M, PISANO P, et al. E-health and wellbeing monitoring using smart healthcare devices:an empirical investigation[J]. Technological forecasting and social change, 2020, 153:119226-119236.
[25] TALUKDER M S, SORWAR G, BAO Y K, et al. Predicting antecedents of wearable healthcare technology acceptance by elderly:a combined SEM-Neural network approach[J]. Technological forecasting and social change, 2020, 150:119793-119806.
[26] NIKNEJAD N, HUSSIN A C, GHANI I, et al. A confirmatory factor analysis of the behavioral intention to use smart wellness wearables in Malaysia[J]. Universal access in the information society, 2020, 19(3):633-653.
[27] SERGUEEVA K, SHAW N, LEE S H. Understanding the barriers and factors associated with consumer adoption of wearable technology devices in managing personal health[J]. Canadian journal of administrative sciences, 2019, 37(1):45-60.
[28] KIM T B, HO C T B. Validating the moderating role of age in multi-perspective acceptance model of wearable healthcare technology[J]. Telematics and informatics, 2021, 61:101603-101615.
[29] GAO Y W, LI H, LUO Y. An empirical study of wearable technology acceptance in healthcare[J]. Industrial management & data systems, 2015, 115(9):1704-1723.
[30] LI H, WU J, GAO Y W, et al. Examining individuals' adoption of healthcare wearable devices:an empirical study from privacy calculus perspective[J]. International journal of medical informatics, 2016, 88:8-17.
[31] BIANCHI C, TUZOVIC S, KUPPELWIESER V G. Investigating the drivers of wearable technology adoption for healthcare in South America[J]. Information technology & people, 2022, ahead-of-print. DOI:10.1108/ITP-01-2021-0049.
[32] YANG Q, AL Mamun A, HAYAT N, et al. Modelling the mass adoption potential of wearable medical devices[J]. Plos one, 2022, 17(6):e0269256.
[33] 张敏, 罗梅芬, 聂瑞, 等. 信息生态视域下移动健康信息消费行为分析——以健康可穿戴技术为例[J]. 图书情报知识, 2017, 40(3):61-70.
[34] 张敏, 罗梅芬, 聂瑞. 健康可穿戴技术的用户使用意愿影响因素分析——基于使用经验和健康知识的调节作用[J]. 信息资源管理学报, 2017, 7(2):14-21.
[35] HUARNG K H, YU T H K, LEE C F. Adoption model of healthcare wearable devices[J]. Technological forecasting and social change, 2022, 174:1-7.
[36] JENG M Y, PAI F Y, YEH T M. Antecedents for older adults' intention to use smart health wearable devices-technology anxiety as a moderator[J]. Behavior science (basel), 2022, 12(4):1-16.
[37] PANCAR T, YILDIRIM S O. Exploring factors affecting consumers' adoption of wearable devices to track health data[J]. Universal access in the information society. ahead-of-print. DOI:0.1007/s10209-021-00848-6.
[38] ZHU Y, LU Y, GUPTA S, et al. Promoting smart wearable devices in the health-ai market:the role of health consciousness and privacy protection[J]. Journal of research in interactive marketing, ahead-of-print. DOI:10.1108/JRIM-10-2021-0246.
[39] CHEN P, SHEN Y, LI Z M, et al. What factors predict the adoption of type 2 diabetes patients to wearable activity trackers-application of diffusion of innovation theory[J]. Front public health, 2022, 9:773293-773304.
[40] 吴江, 李姗姗, 胡仙, 等. 健康类可穿戴设备用户融入意向影响因素的实证研究[J]. 信息资源管理学报, 2017, 7(2):22-30.
[41] KIM M. Conceptualization of e-service scapes in the fitness applications and wearable devices context:multi-dimensions, consumer satisfaction, and behavioral intention[J]. Journal of retailing and consumer services, 2021, 61:102562-102577.
[42] LUNNEY A, CUNNINGHAM N R, EASTIN M S. Wearable fitness technology:a structural investigation into acceptance and perceived fitness outcomes[J]. Computers in human behavior, 2016, 65:114-120.
[43] SHIN D H, BIOCCA F. Health experience model of personal informatics:the case of a quantified self[J]. Computers in human behavior, 2017, 69:62-74.
[44] DERANEK K, HEWITT B, GUDI A, et al. The impact of exercise motives on adolescents' sustained use of wearable technology[J]. Behaviour & information technology, 2021, 40(7):691-705.
[45] OC Y, PLANGGER K. Gist do it! How motivational mechanisms help wearable users develop healthy habits[J]. Computers in human behavior, 2022, 128:107089-107102.
[46] MISHRA A, BAKER-EVELETH L, GALA P, et al. Factors influencing actual usage of fitness tracking devices:empirical evidence from the UTAUT model[J]. Health marketing quarterly, ahead-of-print. DOI:10.1080/07359683.2021.1994170
[47] JAMES T, WALLACE L, DEANE J. Using organismic integration theory to explore the associations between users' exercise motivations and fitness technology feature set use[J]. Management information systems quarterly, 2019, 43(1):287-312.
[48] 赵延昇, 王仲杰. 可穿戴设备用户持续使用意愿研究——基于ECM-IS的拓展模型[J]. 东北大学学报(社会科学版), 2018, 20(4):366-372.
[49] JAMES T L, WALLACE L, DEANE J K. Using organismic integration theory to explore the associations between users' exercise motivations and fitness technology feature set use[J]. Management information systems quarterly, 2019, 43(1):287-312.
[50] SIEPMANN C, KOWALCZUK P. Understanding continued smartwatch usage:the role of emotional as well as health and fitness factors[J]. Electronic marketing, 2021, 31(4):795-809.
[51] TALUKDER M S, LAATO S, ISLAM A, et al. Continued use intention of wearable health technologies among the elderly:an enablers and inhibitors perspective[J]. Internet research, 2021, 31(5):1611-1640.
[52] CHAMORRO-KOC M, PEAKE J, MEEK A, et al. Self-efficacy and trust in consumers' use of health-technologies devices for sports[J]. Heliyon, 2021, 7(8):e07794.
[53] WINDASARI N A, LIN F R, KATO-LIN Y C. Continued use of wearable fitness technology:a value co-creation perspective[J]. International journal of information management, 2021, 57:102292-102307.
[54] PENG W, LI L, KONONOVA A, et al. Habit formation in wearable activity tracker use among older adults:qualitative study[J]. JMIR mhealth and uhealth, 2021, 9(1):e22488.
[55] WANG N, XIE W X, ALI A, et al. How do individual characteristics and social capital shape users' continuance intentions of smart wearable products?[J]. Technology in society, 2022, 68:101818-101829.
[56] KANG H, OH J. Beyond user control and two-way communication:the four-factor model of interactivity of wrist-worn smart devices[J]. Media psychology, 2022, 25(2):234-261.
[57] WHELAN M E, DENTON F, BOURNE C L A, et al. A digital lifestyle behaviour change intervention for the prevention of type 2 diabetes:a qualitative study exploring intuitive engagement with real-time glucose and physical activity feedback[J]. BMC public health, 2021, 21(1):130-141.
[58] RIEDER A, ESERYEL U Y, LEHRER C, et al. Why users comply with wearables:the role of contextual self-efficacy in behavioral change[J]. International journal of human-computer interaction, 2021, 37(3):281-294.
[59] NELSON E C, SOOLS A M, VOLLENBROEK-HUTTEN M M R, et al. Embodiment of wearable technology:qualitative longitudinal study[J]. JMIR mhealth and uhealth, 2020, 8(11):e16973.
[60] ANDERSEN T O, LANGSTRUP H, LOMBORG S. Experiences with wearable activity data during self-care by chronic heart patients:qualitative study[J]. Journal of medical Internet research, 2020, 22(7):e15873.
[61] PINGO Z, NARAYAN B. "My smartwatch told me to see a sleep doctor":a study of activity tracker use[J]. Online information review, 2020, 44(2):503-519.
[62] ZIMMER M, KUMAR P, VITAK J, et al. 'There's nothing really they can do with this information':unpacking how users manage privacy boundaries for personal fitness information[J]. Information communication & society, 2020, 23(7):1020-1037.
[63] GOODYEAR V A, KERNER C, QUENNERSTEDT M. Young people's uses of wearable healthy lifestyle technologies; surveillance, self-surveillance and resistance[J]. Sport education and society, 2019, 24(3):212-225.
[64] GITTUS M, FULLER-TYSZKIEWICZ M, BROWN H E, et al. Are Fitbits implicated in body image concerns and disordered eating in women?[J]. Health psychology, 2020, 39(10):900-904.
[65] FENG Y, AGOSTO E. Revisiting personal information management through information practices with activity tracking technology[J]. Journal of the Association for Information Science and Technology, 2019, 70(12):1352-1367.
[66] ESMONDE K. 'There's only so much data you can handle in your life':accommodating and resisting self-surveillance in women's running and fitness tracking practices[J]. Qualitative research in sport exercise and health, 2020, 12(1):76-90.
[67] ZHANG Z J, GIORDANI B, MARGULIS A, et al. Efficacy and acceptability of using wearable activity trackers in older adults living in retirement communities:a mixed method study[J]. BMC geriatrics, 2022, 22(1):1-9.
[68] BURFORD K, GOLASZEWSKI N M, BARTHOLOMEW J. "I shy away from them because they are very identifiable":a qualitative study exploring user and non-user's perceptions of wearable activity trackers[J]. Digital health, 2021, 7:1-10.
[69] FENG Y, AGOSTO E. From health to performance:Amateur runners' personal health information management with activity tracking technology[J]. ASLIB journal of information management, 2019, 71(2):217-240.
[70] STIGLBAUER B, WEBER S, BATINIC B. Does your health really benefit from using a self-tracking device? evidence from a longitudinal randomized control trial[J]. Computers in human behavior, 2019, 94:131-139.
[71] ATTIG C, FRANKE T. I track, therefore i walk-exploring the motivational costs of wearing activity trackers in actual users[J]. International journal of human-computer studies, 2019, 127:211-224.
[72] SOBKO T, BROWN G. Reflecting on personal data in a health course:integrating wearable technology and eportfolio for ehealth[J]. Australasian journal of educational technology, 2019, 35(3):55-70.
[73] HADI R, VALENZUELA A. Good vibrations:Consumer responses to technology-mediated haptic feedback[J]. Journal of consumer research, 2020, 47(2):256-271.
[74] OH J, KANG H. User engagement with smart wearables:four defining factors and a process model[J]. Mobile media & communication, 2021, 9(2):314-335.
[75] JUNG E H, KANG H. Self-determination in wearable fitness technology:the moderating effect of age[J]. International journal of human-computer interaction, ahead-of-print. DOI:10.1080/10447318.2021.2002048.
[76] 贾宁. 高校图书馆阅读推广活动用户卷入度研究——以上海师范大学图书馆为例[C]//中国图书馆学会年会论文集. 北京:中国图书馆学会年会, 2016.
[77] O'BRIEN H L, TOMS E G. The development and evaluation of a survey to measure user engagement[J]. Journal of the American Society for Information Science and Technology, 2010, 61(1):50-69.
[78] O'BRIEN H L, TOMS E G. What is user engagement? a conceptual framework for defining user engagement with technology[J]. Journal of the American Society for Information Science and Technology, 2008, 59(6):938-955.
[79] O'BRIEN H L, TOMS E G. Examining the generalizability of the user engagement scale (ues) in exploratory search[J]. Information processing & management, 2013, 49(5):1092-1107.
[80] OH J. User engagement with smart wearables:four defining factors and a process model[J]. Mobile media & communication, 2020, 9(2):314-335.
[81] NELSON E, VERHAGEN T, NOORDZIJ M. Health empowerment through activity trackers:an empirical smart wristband study[J]. Computers in human behavior, 2016, 62:364-74.
[82] JANG J, KIM J. Healthier life with digital companions:effects of reflection-level and statement-type of messages on behavior change via a perceived companion[J]. International journal of human-computer interaction, 2019, 36 (2):172-189.
[83] RATZ T, LIPPKE S, MUELLMANN S, et al. Effects of two Web-based interventions and mediating mechanisms on stage of change regarding physical activity in older adults[J]. Applied psychology:health and well-being, 2020, 12(1):1-17.
[84] 李彩宁, 毕新华, 王雅薇. 个人健康信息管理技术促进用户健康行为的心理机制:基于智能可穿戴健康产品的实证研究[J]. 图书情报工作, 2021, 65(19):72-83.
[85] LEHRER C, ESERYEL U Y, RIEDER A, et al. Behavior change through wearables:the interplay between self-leadership and it-based leadership[J]. Electronic marketing, 2021, 31(4):747-764.
[86] ABOUZAHRA M, GHASEMAGHAEI M. Effective use of information technologies by seniors:the case of wearable device use[J]. European journal of information systems, 2022, 31(2):241-255.
[87] PAUL G, IRVINE J. Privacy implications of wearable health devices[C]//Proceedings of the 7th international conference on security of information and networks. New York:Association for Computing Machinery, 2014:117-121.
[88] SANCHEZ O R, TORRE I, HE Y Y, et al. A recommendation approach for user privacy preferences in the fitness domain[J]. User modeling and user-adapted interaction, 2020, 30(3):513-565.
[89] CAN Y S, ERSOY C. Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring[J]. ACM transactions on Internet technology, 2021, 21(1):1-17.
[90] LANGLEY M R. Hide your health:addressing the new privacy problem of consumer wearables[J]. Georgetown law journal, 2015, 103(6):1641-1659.