Consumer Differences in the United States and India on Wearable Trackers
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[1] Helen Koo,et al. Preferences in tracking dimensions for wearable technology , 2017 .
[2] Tom Page,et al. A Forecast of the Adoption of Wearable Technology , 2015, Int. J. Technol. Diffusion.
[3] Christopher M. Schlick,et al. Development and validation of a technology acceptance model for safety-enhancing, wearable locating systems , 2016, Behav. Inf. Technol..
[4] S. Goetgeluk,et al. Pregnancy outcome in primiparae of advanced maternal age. , 2007, European journal of obstetrics, gynecology, and reproductive biology.
[5] Gaetano Valenza,et al. Mood recognition in bipolar patients through the PSYCHE platform: Preliminary evaluations and perspectives , 2013, Artif. Intell. Medicine.
[6] R. Gupta,et al. India mental health country profile , 2004, International review of psychiatry.
[7] Asimina Vasalou,et al. Child Location Tracking in the US and the UK: Same Technology, Different Social Implications , 2014 .
[8] Fred D. Davis. User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..
[9] L. Ou,et al. A study of colour emotion and colour preference. Part III: Colour preference modeling , 2004 .
[10] Liang-Bi Chen,et al. WristEye: Wrist-Wearable Devices and a System for Supporting Elderly Computer Learners , 2016, IEEE Access.
[11] R. Furberg,et al. Systematic review of the validity and reliability of consumer-wearable activity trackers , 2015, International Journal of Behavioral Nutrition and Physical Activity.
[12] Yiwen Gao,et al. An empirical study of wearable technology acceptance in healthcare , 2015, Ind. Manag. Data Syst..
[13] Thara Seesaard,et al. Development of Fabric-Based Chemical Gas Sensors for Use as Wearable Electronic Noses , 2015, Sensors.
[14] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[15] Guang Zhang,et al. Emerging Wearable Medical Devices towards Personalized Healthcare , 2013, BODYNETS.
[16] Ui-Jeen Yu,et al. Consumers' Virtual Product Experiences and Risk Perceptions of Product Performance in the Online Co‐Design Practice: A Case of NIKEiD , 2013 .
[17] Alexander von Eye,et al. Race, Gender, and Information Technology Use: The New Digital Divide , 2008, Cyberpsychology Behav. Soc. Netw..
[18] Ik-Whan G. Kwon,et al. A Cross-Cultural Comparison of Ethical Attitudes of Business Managers: India Korea and the United States , 2003 .
[19] Ahmed A. El-Masry,et al. Board composition, ownership structure and dividend policies in an emerging market: Further evidence from CASE 50 , 2008 .
[20] Yuri Lee,et al. The Influence of Technological and Symbolic Innovation on New Product Adoption in a Social Context , 2013 .
[21] R. Ward. The application of technology acceptance and diffusion of innovation models in healthcare informatics , 2013 .
[22] Lora Giangregorio,et al. Behavior Change Techniques Present in Wearable Activity Trackers: A Critical Analysis , 2016, JMIR mHealth and uHealth.
[23] J. Kolodinsky,et al. The adoption of electronic banking technologies by US consumers , 2004 .
[24] M. Rocha,et al. Age, gender and national factors in fashion consumption , 2005 .
[25] Dong-Hee Shin,et al. An acceptance model for smart watches: Implications for the adoption of future wearable technology , 2015, Internet Res..
[26] Te-Lin Chung,et al. Attitudes and Purchase Intentions for Smart Clothing , 2016 .
[27] Susan K. Walker,et al. Family Educators’ Technology Use and Factors Influencing Technology Acceptance Attitudes , 2015 .
[28] Douglas G. Bonett,et al. Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning , 2015 .
[29] Marcus Nilsson,et al. A Study on Users' Preference on Interruption When Using Wearable Computers and Head Mounted Displays , 2005, PerCom.