DOI QR코드

DOI QR Code

The Effect of UI Usability of Mobile Healthcare Applications on Technostress and Continuous Use Intention: Focusing on Elderly Users

모바일 헬스케어 애플리케이션의 UI 사용성이 테크노스트레스와 지속사용의도에 미치는 영향: 고령의 사용자를 중심으로

  • Cha, Jaehyuk (College of Sport Science, Sungkyunkwan University)
  • 차재혁 (성균관대학교 스포츠과학과)
  • Received : 2021.04.08
  • Accepted : 2021.05.20
  • Published : 2021.05.28

Abstract

The purpose of this study is to empirically verify how UI usability of mobile healthcare applications affects the perception of technostress and continuous use of elderly users. Through this, the effect of UI usability of mobile healthcare applications on technostress and continuous use intention was demonstrated for 199 people aged over 60. As a result, all four sub-factors of UI usability had a significant effect on technostress, and the magnitude of the influence was found to be in the order of content, process, design, and system. On the other hand, it was found that technostress had a significant effect on the intention of continued use. Through the above results, a UI design strategy that can lead to continuous use by relieving the technostress experienced by the elderly was suggested. This provides academic and practical implications for the future development and service direction of mobile healthcare applications for the elderly.

본 연구는 모바일 헬스케어 애플리케이션의 UI 사용성이 고령 이용자의 테크노스트레스 지각과 지속적인 이용에 어떠한 영향을 미치는지를 실증적으로 검증하는 데 그 목적을 두고 있다. 이를 통해 60세 이상 199명을 대상으로 모바일 헬스케어 애플리케이션의 UI 사용성이 테크노스트레스와 지속사용의도에 미치는 영향을 실증하였다. 그 결과, UI 사용성 4개 하위요인은 모두 테크노스트레스에 유의한 영향을 미쳤으며, 이때 영향력의 크기는 콘텐츠, 프로세스, 디자인, 시스템의 순서인 것으로 나타났다. 한편, 테크노스트레스는 지속사용의도에 유의한 영향을 미치는 것으로 나타났다. 이상의 결과를 통해 고령자가 겪는 테크노스트레스를 해소함으로써 지속적인 사용을 이끌 수 있는 UI 디자인 전략을 제시하였다. 이는 향후 고령자 대상 모바일 헬스케어 애플리케이션의 개발과 서비스 방향에 대한 학술적 실무적 시사점을 제공한다.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2018R1D1A1B07044553)

References

  1. Kim, K. R., Hwnag, N. H., Jin, H. Y., & You, J. E. (2020). Diversity and Sociopolicy Response of the Elderly in Post-Aged Society, Sejong: Korea institute for Health and Social Affairs.
  2. Kim, S. M. (2018). A Study on the Design Plan of UX for the Smart Healthcare for the Aged Society - Focused on IOT Technology, Journal of The Korea Contents Association. 18(11), 426-474.
  3. Bae, J., Y. (2014). The Study on the Relationship between the Burden of Medical Expenditures and Health-related Quality of Life among the Elderly with Chronic Diseases, Journal of Social Science 25(4), 109-129. https://doi.org/10.16881/jss.2014.10.25.4.109
  4. Kim, K. B., & Han, K. H. (2020). A Study of the Digital Healthcare Industry in the Fourth Industrial Revolution. Journal of Convergence for Information Technology, 10(3), 7-15. https://doi.org/10.22156/CS4SMB.2020.10.03.007
  5. Kim, Y. J. (2012). Exploratory study on acceptance intention of mobile devices and applications for healthcare services. The Journal of the Korea Contents Association, 12(9), 369-379. https://doi.org/10.5392/JKCA.2012.12.09.369
  6. Silva, B. M., Rodrigues, J. J., de la Torre Diez, I., Lopez-Coronado, M., & Saleem, K. (2015). Mobile-health: A review of current state in 2015. Journal of biomedical informatics, 56, 265-272. https://doi.org/10.1016/j.jbi.2015.06.003
  7. Kim, M. Y., & Byun, S. J. (2018). The improvement index of smart public services to advance information accessibility for the elderly. Journal of Digital Convergence, 16(5), 43-53. https://doi.org/10.14400/JDC.2018.16.5.043
  8. Nam, M. K., Choi, I. Y., & Jung, E. T. (2018). A Study on Mobile Application UI Considering the Aged - Focused on Comparative Analysis of Mobile Portal Application of 'Naver' and 'daum', Journal of The Korean Society Design Culture 24(1), 215-226. https://doi.org/10.18208/ksdc.2018.24.1.215
  9. Alsswey, A., & Al-Samarraie, H. (2020). Elderly users' acceptance of mHealth user interface (UI) design-based culture: the moderator role of age. Journal on Multimodal User Interfaces, 14(1), 49-59. https://doi.org/10.1007/s12193-019-00307-w
  10. Lee, K. Y. (2017). A Study of Structural Relationship between Technostress and Mobile Application Discontinuance Intention, Korean Jouranl of Business Administration 30(10), 1835-1855. https://doi.org/10.18032/kaaba.2017.30.10.1835
  11. Lu, L., Sun, Z. J., & Lee, J. H. (2013). Factors Affecting the Continuous Intention of Using the Mobile Messenger Application: Focused on KakaoTalk, Korean Business Education Review 28(3), 439-458.
  12. Blair-Early, A., & Zender, M. (2008). User interface design principles for interaction design. Design Issues, 24(3), 85-107. https://doi.org/10.1162/desi.2008.24.3.85
  13. Seo, H. M., You, H. R., & Kim, Y. J. (2019). The Development of User Interface Usability Evaluation Index of Mobile Healthcare Application for the Elderly using AHP. Journal of Digital Contents Society, 20(5), 981-989. https://doi.org/10.9728/dcs.2019.20.5.981
  14. Frokjaer, E., Hertzum, M., & Hornbaek, K. (2000). Measuring usability: are effectiveness, efficiency, and satisfaction really correlated?. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems, 345-352.
  15. Seo, H. M. (2018). The Development of User Interface Usability Evaluation of Mobile Healthcare Application for the Elderly, Journal of Digital Contents Society, 19(9), 1759-1767. https://doi.org/10.9728/dcs.2018.19.9.1759
  16. Park, J. S., & Lee, J. M. (2015). A Study of on the influence of techno-stress, flow and smartphone addiction on the Satisfaction of Smart-phones use, Journal of the Korea Society of Digital Industry and Information Management, 11(4), 189-202. https://doi.org/10.17662/ksdim.2015.11.4.189
  17. Hudiburg, R. A. (1989). Psychology of computer use: VII. Measuring technostress: Computer-related stress. Psychological Reports, 64(3), 767-772. https://doi.org/10.2466/pr0.1989.64.3.767
  18. Tarafdar, M., Tu, Q., Ragu-Nathan, T. S., & Ragu-Nathan, B. S. (2011). Crossing to the dark side: examining creators, outcomes, and inhibitors of technostress. Communications of the ACM, 54(9), 113-120. https://doi.org/10.1145/1995376.1995403
  19. Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS quarterly, 831-858. https://doi.org/10.2307/41409963
  20. Yim, M. S., & Han, K. H. (2013). An Investigation of Causes and Effects of Technostress Creators, The Journal of Digital Policy & Management, 11(10), 31-45.
  21. Kim, J. E., & Yeo, J. S. (2007). Digital Stress of Consumers in Using Digital Goods, Journal of Korean Home Management Association, 25(3), 119-135.
  22. Choi, H. S., Kim, T. G., & Cho, Y. G. (2011). A study on the effects of technostress on flow and continuous use of smartphone. The Journal of Korean Institute of Information Technology , 9(8), 175-184.
  23. Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information systems research, 19(4), 417-433. https://doi.org/10.1287/isre.1070.0165
  24. Kim, K. J., & Lee, K. D. (2017). The Effect of Technostress on User Resistance and End-User Performance, Information Systems Review, 19(4), 63-85. https://doi.org/10.14329/isr.2017.19.4.063
  25. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
  26. Park, D. J., Choi, J. H., & Kim, D. J. (2015). The Influence of Health Apps Efficacy, Satisfaction and Continued Use Intention on Wearable Device Adoption: A Convergence Perspective, Journal of Digital Convrgence, 13(7), 137-145. https://doi.org/10.14400/JDC.2015.13.7.137
  27. Cooper, B., Eva, N., Fazlelahi, F. Z., Newman, A., Lee, A., & Obschonka, M. (2020). Common method variance in vocational behavior research: Reviewing the state of the literature. Journal of Vocational Behavior, 103472. https://doi.org/10.1016/j.jvb.2020.103472
  28. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879. https://doi.org/10.1037/0021-9010.88.5.879
  29. Kim, Y. H., Choi, B. M., & Choi, J. I. (2015). A Study on the Successful Adoption of IoT Services: Focused on iBeacon and Nearby, Journal of Information Technology Services, 14(1), 217-236. https://doi.org/10.9716/KITS.2015.14.1.217
  30. Cliff, N. (1988). The eigenvalues-greater-than-one rule and the reliability of components. Psychological bulletin, 103(2), 276-279. https://doi.org/10.1037/0033-2909.103.2.276
  31. Nunnally, J. C., & Bernstein, I. H. (1994). Psychological Theory. New York, NY: MacGraw-Hill.
  32. Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
  33. Kim, J. S., & Kim, S. H. (2011). Design and Implementation of a Customized Contents Service System for Relieving Users' Stress, Journal of The Korea Contents Association, 11(2), 101-112. https://doi.org/10.5392/JKCA.2011.11.2.101
  34. Ivanc, D., Vasiu, R., & Onita, M. (2012, September). Usability evaluation of a LMS mobile web interface. In International conference on information and software technologies (pp. 348-361). Springer, Berlin, Heidelberg.
  35. Harte, R., Glynn, L., Rodriguez-Molinero, A., Baker, P. M., Scharf, T., Quinlan, L. R., & OLaighin, G. (2017). A human-centered design methodology to enhance the usability, human factors, and user experience of connected health systems: a three-phase methodology. JMIR human factors, 4(1), e8. https://doi.org/10.2196/humanfactors.5443
  36. Kim, S. E., & Bae, Y. J. (2017). Interactive Service Providing Information on Dong-Eui University. In Proceedings of the Korea Information Processing Society Conference, 23(2). 549-552.