DOI QR코드

DOI QR Code

Extended Technology Acceptance Model of VR Head-Mounted Display in Early Stage of Diffusion

기술수용모델을 이용한 초기이용자들의 가상현실기기 채택 행동 연구

  • Jang, Han-Jin (Dept. of Interaction Design, Graduate School, Hallym University) ;
  • Noh, Ghee-Young (Dept. of Media Communication, Hallym University)
  • 장한진 (한림대 인터랙션디자인 대학원) ;
  • 노기영 (한림대 미디어커뮤니케이션학부)
  • Received : 2017.03.16
  • Accepted : 2017.05.20
  • Published : 2017.05.28

Abstract

As one of Virtual Reality devices, HMD(Head-Mounted Device) helps users to experience an extended actual environment by providing them with virtual environment flexibly through the device. HMD considers user experience as importance as well as technical factors. Therefore, this study intended to analyze how the factors such as information quality, enjoyment, self-efficacy can have influence on the adoption of VR device using the extended technology acceptance model. The results showed that information quality and enjoyment have significant influences on perceived ease of use and usefulness. Self-efficacy only affect perceived ease of use. In addition, perceived ease of use and usefulness have influences on intention to use.

Acknowledgement

Supported by : Hallym University, National Research Foundation of Korea

References

  1. Ho Kyu Lee, Sun Hee Lee, Byung Hee Jang, "Factors Affecting the Resistance of DTV Adoption ; Combining the Theory of Diffusion of Innovation and Innovation Resistance Model," Korean Journal of Broadcasting and Telecommunication Studies, Vol. 80, pp. 78-111, 2012.
  2. Seung Ju Baek, Seung Kyung Kwon, Jai Beom Kim, Don Ryun Chang, “A Study on the Presence Effect in a Digital Media Performance Space,” Korean Society of Basic Design & Art, Vol. 12, No. 4, pp. 187-199, 2011.
  3. F. Chehimi, P. Coulton, R. Edwards, "Evolution of 3D mobile games development. Personal and Ubiquitous Computing," Vol. 12, No. 1, pp. 19-25, 2008. https://doi.org/10.1007/s00779-006-0129-9
  4. W. H. DeLone, E. R. McLean, “Information systems success: The quest for the dependent variable,” Information Systems Research, Vol. 3, No. 1, pp. 60-95, 1992. https://doi.org/10.1287/isre.3.1.60
  5. V. Venkatesh, M. G. Morris, "Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior," MIS Quarterly, pp. 115-139, 2000.
  6. R. Agarwal, E. Karahanna, “Time Flies When You're Having Fun£ºCognitive Absorption and Beliefs about Information Technology Usage,” MIS Quarterly, Vol. 24, No. 4, pp. 665-694, 2000. https://doi.org/10.2307/3250951
  7. Joo Yun Lee, "The Effects of Information Quality on Job Performance : Focused on the Role of Users in the e-Business System," InHa University Doctorate thesis, 2004.
  8. T. Ahn, S. W. Ryu, I. G. Han, “The impact of web quality and playfulness on user acceptance of online retailing,” Information & Management, Vol. 44, No. 3, pp. 263-275, 2007. https://doi.org/10.1016/j.im.2006.12.008
  9. J. C. C. Lin, H. Lu, “Towards an understanding of the behavioural intention to use a web site,” International Journal of Information Management, Vol. 20, No. 3, pp. 197-208, 2000. https://doi.org/10.1016/S0268-4012(00)00005-0
  10. F. D. Davis, “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-339, 1989. https://doi.org/10.2307/249008
  11. Sang Hyun Kim, Young Mi Song, “An Empirical Study on User's Intention to Use Government Portal Sites: Moderating Effects of Ambiguity & Government Supports,” The Journal of Information Systems, Vol. 18, No. 1, pp. 117-144, 2009. https://doi.org/10.5859/KAIS.2009.18.1.117
  12. Young A Park, Yong Ho Hyun, “A Verification of the Structural Relationships between Consumer Review Characteristics and Acceptance Intention to Smartphone Application by Applying Extended TAM Model: A Focus on the Mediating role of Information Quality,” The Korean Academic Association of Business Administration, Vol. 26, No. 11, pp. 2851-2871, 2013.
  13. V. Venkatesh, 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
  14. B. J. Corbitt, T. Thanasankit, H. Yi, “Trust and e-commerce: a study of consumer perceptions,” Electronic Commerce Research and Applications, Vol. 2, No. 3, pp. 203-215, 2003. https://doi.org/10.1016/S1567-4223(03)00024-3
  15. W. L. Shiau, M. M. Luo, "Continuance Intention of Blog Users: The Impact of Perceived Enjoyment and User Involvement," In PACIS(p. 85), 2010.
  16. J. Webster, L. K. Trevino, L. Ryan, "The Dimensionality and Correlates of Flowin Human-Computer Interaction," Computers in Human Behavior, Vol. 9, pp. 411-426, 1993. https://doi.org/10.1016/0747-5632(93)90032-N
  17. D. L. Hoffman, T. P. Novak, "Marketing in hypermedia computer-mediated environments: Conceptual foundations," The Journal of Marketing, pp. 50-68, 1996.
  18. H. Nysveen, P. E. Pedersen, H. Thorbjornsen, "Explaining Intention to Use Mobile Chat Servieces: Moderating Effects of Gender," Journal of Consumer Marketing, Vol. 22, pp. 247-256, 2005. https://doi.org/10.1108/07363760510611671
  19. Dae Hee Han, Bum Soon Park, "The Acceptance and Effect of Interactive TV Advertising," The Journal of Advertising and Promotion Reserarch, Vol. 85, pp. 133-156, 2010.
  20. J. W. Moon, Y. G. Kim, “Extending the TAM for a World-Wide-Web context,” Information & Management, Vol. 38, No. 4, pp. 217-230, 2001. https://doi.org/10.1016/S0378-7206(00)00061-6
  21. A. Bandura, "Self-Efficacy: The Exercise of Control," 1997.
  22. Eun-Hwi Kim, “A Convergence Study about Influences of Self-efficacy and Mindfulness on Job Satisfaction on General Hospital Nurses,” Journal of the Korea Convergence Society, Vol. 7, No. 5, pp. 107-116, 2016. https://doi.org/10.15207/JKCS.2016.7.5.107
  23. Mi Suk Lee, “An Empirical Study on the Effect of Trust to RFID Technology Acceptance,” Journal of Technology Innovation, Vol. 16, No. 1, pp. 47-79, 2008.
  24. V. Venkatesh, F. D. Davis, “A model of antecedents of perceived ease of use: Development and test,” Decision Sciences, Vol. 27, No. 3, pp. 451-482, 1996. https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
  25. R. F. Murphy, "Processing of endocytosed material," Advances in Molecular and Cell Biology, Vol. 2, pp. 159-180, 1988. https://doi.org/10.1016/S1569-2558(08)60433-6
  26. J. Barling, R. Beattie, "Self-efficacy beliefs and sales performance," Journal of Organizational Behavior Management, Vol. 5, pp. 41-51, 1983. https://doi.org/10.1300/J075v05n01_05
  27. G. Salomon, “Television is easy and print is tough: The differential investment of mental effort in learning as a function of perceptions and attributions,” Journal of Educational Psychology, Vol. 76, No. 4, pp. 647, 1984. https://doi.org/10.1037/0022-0663.76.4.647
  28. D. Compeau, C. Higgins, "Computer Self-Efficacy: Development of a Measure and Intial Test," MIS Quarterly, Vol. 19, pp. 189-211, 1995. https://doi.org/10.2307/249688
  29. Hyun-Suk Lee, “Convergent Study of the Effect of University Students’ Addiction to Smartphones on Self-Esteem and Self-Efficacy: Stress Level and Mental Health as Mediating Factors,” Journal of the Korea Convergence Society, Vol. 8, No. 1, pp. 139-148, 2017. https://doi.org/10.15207/JKCS.2017.8.1.139
  30. J. W. Moon, Y. G. Kim, “Extending the TAM for a World-Wide-Web context,” Information & Management, Vol. 38, No. 4, pp. 217-230, 2001. https://doi.org/10.1016/S0378-7206(00)00061-6
  31. C. Fornell, D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research, pp. 39-50, 1981.
  32. P. Legris, J. Ingham, P. Collerette, “Why do people use information technology? A critical review of the technology acceptance model,” Information & Management, Vol. 40, No. 3, pp. 191-204, 2003. https://doi.org/10.1016/S0378-7206(01)00143-4