디지털융복합연구 (Journal of Digital Convergence)

  • 제15권7호
  • /
  • Pages.445-456
  • /
  • 2017
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

모바일 헬스케어 앱의 지속사용의도에 미치는 심리적 요인의 영향 연구

Psychological Factors Influencing Continuous Use of Mobile Healthcare Applications

  • 이이삭 (한림대학교 인터랙션디자인학과) ;
  • 이상현 (한림대학교 인터랙션디자인학과) ;
  • 정재선 (한림대학교 헬스커뮤니케이션 연구소) ;
  • 노기영 (한림대학교 미디어커뮤니케이션학부)
  • Lee, Lee-Sac (Dept. of Interaction Design, Graduate School, Hallym University) ;
  • Lee, Sang-Hyun (Dept. of Interaction Design, Graduate School, Hallym University) ;
  • Jeong, Jae-Seon (The Center for Health Communication Studies, Hallym University) ;
  • Noh, Ki-Young (Dept. of Media Communication, Hallym University)
  • 투고 : 2017.05.15
  • 심사 : 2017.07.20
  • 발행 : 2017.07.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

모바일 헬스케어 앱은 기기로서의 특성도 가지지만 사용자가 요구하는 특정 영역의 관리와 연관이 있기 때문에 해당 콘텐츠에 대한 이해가 요구된다. 이에 본 연구는 심리적 요인으로서 도구적 효능감, 정보적 효능감, 건강정보지향, 유희성과 반응성이 모바일 헬스케어 앱 사용의도에 미치는 영향을 연구하고자 하였다. 이에 확장된 기술수용모델(TAM II)를 바탕으로 모바일 헬스케어 앱의 지속사용의도를 설명하는 다양한 외생변인들의 영향력을 살펴보기 위해 구조방정식 분석을 실시하였다. 연구결과 정보적 효능감과 도구적 효능감은 용이성과 유용성을 매개하여 사용의도에 영향을 미치는 것으로 나타났다. 유희성은 인지된 용이성과 유용성을 매개하여 지속사용의도에 영향을 미칠 뿐만 아니라 지속사용의도에 직접적인 영향을 미치는 것으로 나타났다. 건강정보지향과 반응성은 인지된 유용성을 매개로 지속사용의도에 영향을 미치는 것으로 나타났다. 이러한 연구결과는 도구적 관점, 정보적 관점, 유희적 관점에서 모바일 헬스케어 앱의 연구 및 제작의 필요성에 대한 접근을 시사한다.

Mobile healthcare apps should be paid more attention not just as software, but also as significant health information providers. We examine the impact of psychological factors (e,g., instrumental efficacy, informational efficacy, health information orientation, playfulness, and responsiveness) on intention to continuous use of mobile healthcare apps. Based on an expanded technology acceptance model (TAM II), this study examined the effects of psychological factors influencing the usage of mobile healthcare apps. The results showed that informational efficacy and instrumental efficacy influenced intention to use through perceived ease of use and perceived usefulness. Playfulness influenced intention to continuous use directly as well as indirectly through perceived ease of use and perceived usefulness. Health information orientation and responsiveness influenced intention to continuous use through perceived usefulness. This study suggests the need for adopting instrumental, informative perspectives and playfulness in contemporary health research and production of mobile healthcare apps.

키워드

참고문헌

  1. BMI Espicom, "The world Medical Markets Forecasts 2020", 2015.
  2. B. W. Min, "An Improvement of Personalized Computer Aided Diagnosis Probability for Smart Healthcare Service System", Journal Of Convergence for Information Technology, Vol. 6, No. 4, pp.79-84, 2016. https://doi.org/10.22156/CS4SMB.2016.6.4.079
  3. Korea Health Industry Development Institute, "Midto Long-Term Development Plan of Medical Device Industry", 2015.
  4. G. J. Kim and J. S. Han, "Chronic Disease Management using Smart Mobile Device", Vol.12, pp.335-342, 2014.
  5. M. Kay, J. Santos, and M. Takane. "mHealth: New horizons for health through mobile technologies." World Health Organization, Vol. 13, pp. 66-71, 2011.
  6. S. H. Lee and S. S. Yu, "Mobile healthcare applications Current Status and Outlook", Korea Information Society Development Institute, Vol. 26, No. 17, pp.1-23, 2014.
  7. I. K. Seo and S. H. Lee, "An Efficient Hospital Service Model of Hierarchical Property information classified Bioinformatics information of Patient", Journal Of Convergence for Information Technology, Vol. 5, No. 4, pp.17-23, 2016. https://doi.org/10.22156/CS4SMB.2015.5.4.017
  8. Y. Su. Jeong, "User Authentication Key Establishment Scheme based on Color Model for Healthcare Environment", Journal of the Korea Convergence Society, Vol. 8. No. 3, pp. 115-121, 2017. https://doi.org/10.15207/JKCS.2017.8.3.115
  9. Institute for Information &communications Technology Promotion, "Mobile healthcare trends and implications at home and abroad", pp.35-38, 2015.
  10. E. J. Jung, "Mining based Mental Health and Blood Pressure Management Service for Smart Health", Journal of the Korea Convergence Society, Vol. 8. No. 1, pp. 13-18, 2017. https://doi.org/10.15207/JKCS.2017.8.1.013
  11. A. S. M. Mosa, I. Yoo and L. Sheets. "A systematic review of healthcare applications for smartphones", BMC medical informatics and decision making, Vol. 12, No. 1, pp. 67, 2012. https://doi.org/10.1186/1472-6947-12-67
  12. J. Choi, D. J. Park and G. Y. Noh, "The effect of Attributes of Exercise/Fitness Apps on App Usage: A Convergence Perspective Based on the Self-Determination Theory", Journal of Digital Convergence, Vol. 13, No. 6, pp.327-339, 2015. https://doi.org/10.14400/JDC.2015.13.6.327
  13. B. R. Wang, J. Y. Park and I. Y. Choi, "Influencing Factors for the Adoption of Smartphone Healthcare Application", Journal of the Korea Contents Association, Vol. 11, No. 10, pp.396-404, 2011. https://doi.org/10.5392/JKCA.2011.11.10.396
  14. Y. B. Shim, Y. J. S, J. M. Kim, S. H. Kim and D. H. Sung, "Factors related to the intent to use the medical application (M-APP) of smart phone of hospital nurses", Health Policy and Management, Vol. 22, No. 2, pp. 249-262, 2012 https://doi.org/10.4332/KJHPA.2012.22.2.249
  15. J. Cho, "The Investigation of Factors of Determining Continuous Use of Health Apps on Smartphones Application of Extended Technology Acceptance Model", Journal Of Public Relations Research, Vol. 18, No. 1, pp.212-241, 2014. https://doi.org/10.15814/jpr.2014.18.1.212
  16. A. B. Becker, "Political humor as democratic relief? The effects of exposure to comedy and straight news on trust and efficacy", Atlantic Journal of Communication, Vol. 19, No. 5, pp. 235-250, 2011. https://doi.org/10.1080/15456870.2011.622191
  17. D. J. Park, J. Choi and D. J. Kim, "The Influence of Health Apps Efficacy, Satisfaction and Continued, Journal of Digital Convergence", Vol. 13, No. 7, pp.137-145, 2015. https://doi.org/10.14400/JDC.2015.13.7.137
  18. Y. N. Choi, K. H. Kim and S. R. Oh, "Structural Model for Users's Accepting Smart Health Care Services by Moderating the User Types", Journal of the Korea Contents Association, Vol. 15, No. 9, pp.541-554. 2015. https://doi.org/10.5392/JKCA.2015.15.09.541
  19. M. K. Chang and W. Cheung, "Determinants of the intention to use internet/ WWW at work:A confirmatory study", Information and Management, Vol. 39, No. 1, pp.1-14, 2001. https://doi.org/10.1016/S0378-7206(01)00075-1
  20. J. S. Lee and M. Y. Lee, "Examining Factors Affecting the Intention to Use IP-TV with the Extended Technology Acceptance Model(TAM)", Broadcasting & Communication, Vol. 7, No. 1, pp.100-113, 2006.
  21. H. J. Yun and S. C. Moon. Factors Affecting Intension to Use Tablet PCs : Moderating Effects of Smart Phone Use, KABS, No. 79, pp.169-202, 2006.
  22. V. Venkatesh and F. D. Davis, "A theoretical extension of the technology acceptance model: Four longitudinal field studies", Management science, Vol. 46, No. 2, pp.186-204, 2000. https://doi.org/10.1287/mnsc.46.2.186.11926
  23. R. Agarwal and E. Karahanna, "Time Flies When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage", MIS Quarterly, Vol. 24, No. 4, pp.665-694, 2000. https://doi.org/10.2307/3250951
  24. M. Koufaris, "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, Vol. 13, No. 2, pp.205-223, 2002. https://doi.org/10.1287/isre.13.2.205.83
  25. A. Bandura, "Self-efficacy: The exercise of control", New York: Freeman, 1997.
  26. H. Verkasalo, C. Lopez-Nicolas, F. J. Molina-Castillo and H. Bouwman, "Analysis of users and non-users of smartphone applications", Telematics and Informatics, Vol. 27, No. 3, pp.242-255, 2010. https://doi.org/10.1016/j.tele.2009.11.001
  27. S. Lim, L. Xue, C. C. Yen, L. Change, H. C. Chan, B. C. Tai, H. B. L.. Duh and M. Coolani, "A study on Singaporean women's acceptance of using mobile phones to seek health information", International Journal of Medical Informatics, Vol. 80, No. 12, pp.189-202, 2011. https://doi.org/10.1016/j.ijmedinf.2011.08.007
  28. B. Yu and H. H. Kim, "A Usability Evaluation of Mobile Healthcare Application GUI Design - Focused on the Exercise Application", Journal of digital design, Vol. 15, No. 1, pp.223-233, 2015.
  29. J. D. Kim and S. D. Park, S. J. Lim and S. P. Hwang, and S. G. Lee, Information Visualization for Mobile Healthcare", The Journal of Korean Insitute of Information Technology, Vol. 19, No. 12, pp.99-110, 2012.
  30. S. Sohn, Y. J. Choi, H. S. Hwang. "Understanding Acceptance of Smartphone among Early Adopters Using Extended Technology Acceptance Model", Korean Society for Journalism & Communication Studies, Vol. 55 No. 2, pp. 227-251, 2011.
  31. S. Y. Kim, S. H. Lee and H. S. Hwang, "User Acceptance of Social Network Games on Smart Devices: An Extension to the Technology Acceptance Model", Korea Society Of Industrial Information System, Vol. 16, No. 5, pp. 173-184. 2011. https://doi.org/10.9723/jksiis.2011.16.5.173
  32. B. O. Jeong, "Effects of Perceived Usefulness, Perceived Ease of Use and Perceived Enjoyment on Intention to Use Tourism Application: Moderating Effects of Demographic Characteristics", International Journal of Tourism and Hospitality Research, Vol. 30, No, 1, pp.101-121, 2016. https://doi.org/10.21298/IJTHR.2016.01.30.1.101
  33. J. W. Lee, J. D. Kim and A. Ji, "A Present Condition of Smartphone Health Applications", Korean Soc Design Sci, Vol. 10. pp.210-211, 2010.
  34. M. J. Dutta-Bergman, "Primary sources of health information: Comparisons in the domain of health attitudes, health cognitions, and health behaviors", Health Ccommunication, Vol. 16, No. 3, pp.273-288. 2004.
  35. D. J. Park, M. S. Kim and J. Choi, "The Influence of Health Information Orientation, Attitude of Internet Health Information, and e-Health Literacy on Personal Health Behaviors", Journal of Public Relations Research, Vol. 17, No. 3, pp.379-413, 2013. https://doi.org/10.15814/jpr.2013.17.3.379
  36. Y. N. Li, K. C. Tan and M. Xie, "Measuring web-based service quality," Total Quality Management, Vol. 13, No. 5, pp.685-700, 2002. https://doi.org/10.1080/0954412022000002072
  37. M. Wolfinbarger and M. C. Gilly, "eTailQ: Dimentionalizing, measuring and predicting etail quality," Journal of Retailing, Vol. 79, No. 3, pp. 183-198, 2003. https://doi.org/10.1016/S0022-4359(03)00034-4
  38. D. U. Kim and J. S. Oh, "A Structure on Mobile Service Quality" Journal Of Korea Service Management Society, Vol. 7, No. 3, pp. 51-82, 2006.
  39. J. O. Lee, J. Whang, S. and Kang, S. Lee, "Extended TAM for Accepting Mobile Devices Including Functional Attributes : The Case of Cellular Phone", Journal of Information Technology Applications & Management Vol. 13, No. 1, 39-66, 2006.
  40. C. D. Norman and H. A. Skinner, "eHEALS: the eHealth literacy scale". Journal of Medical Internet Research, Vol. 8, No. 4, pp.27, 2006. https://doi.org/10.2196/jmir.8.4.e27
  41. D. W. Russell, J. H. Kahn, R. Spoth and E. M. Altmaier, "Analyzing data from experimental studies: A latent variable structural equation modeling approach", Journal of Counseling Psychology, Vol. 45, pp.18-29, 1998. https://doi.org/10.1037/0022-0167.45.1.18
  42. E. K. Yun and H. A. Park, "Consumers' disease information-seeking behavior on the Internet in Korea". Journal of Clinical Nursing, Vol. 19, pp.2860-2868, 2010. https://doi.org/10.1111/j.1365-2702.2009.03187.x
  43. F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models", Management Science, Vol. 35, No. 8, pp. 982-1002, 1989. https://doi.org/10.1287/mnsc.35.8.982
  44. V. Venkatesh, M. G. Morris, G. B. Davis and F. D. Davis, "User Acceptance of Information Technology: Toward a Unified View", MIS Quarterly, Vol. 27, No. 3, pp. 425-478, 2003. https://doi.org/10.2307/30036540