Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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The Study of Factors Influencing the Intention of Continuous Usage Using Augmented Reality Games: Comparative Analysis of Korean and Chinese Users

  • Received : 2021.12.02
  • Accepted : 2022.03.04
  • Published : 2022.06.30
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Abstract

This study is to focuses on users' attitudes toward augmented reality games. Based on the Technology Acceptance Model (TAM) and Flow theory, continuous usage intention was set as a dependent variable, and immersion was set as a mediating variable. As independent variables, spatial presence, perceived interactivity, perceived pleasure, and sickness were set. Besides, this study strived to compare and analyze Korean and Chinese Data. The results of this study were as follows. First of all, Korean users significantly affected spatial presence, perceived pleasure, and immersion. Spatial presence and perceived pleasure had also mediated effects on continuous usage intention through immersion. However, perceived interactivity and sickness did not affect immersion and even no mediating effect to continuous usage intention. In the case of Chinese users, spatial presence, perceived interactivity, and perceived pleasure were grouped into one variable. This variable influenced immersion and also had mediated effect on continuous usage intention. However, sickness, like Korean users, did not affect the set path. This study had implications for analyzing user perspective using immersion, a significant variable in previous research. In addition, this study found similarities and characteristics through a comparative analysis between Korean and Chinese users indirectly.

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References

  1. Bae, J. E., and Kim, S. I. (2014). A development plan of serious game based on virtual reality through the trend analysis on internal/external game industry. Journal of Digital Design, 14(3), 737-748.
  2. Bae, S. J., and Kwon, O. B. (2018). Impact of presence, spatial ability, and esthetics on the continuance intention of use of augmented reality and virtual reality. Korean Business Education Review, 33(4), 355-386.
  3. Barfield, W., Zeltzer, D., Sheridan, T., and Slater, M. (1995). Presence and performance within virtual environments. Virtual environments and advanced interface design, 473-513.
  4. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25, 351-370.
  5. Chae, J. M. (2016). The difference of the extended tam in mobile fashion shopping according to consumer's purchase frequency. Journal of Fashion Design, 16(3), 173-188.
  6. Chang, Y. P., and Zhu, D. H. (2012). The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China. Computers in Human Behavior, 28(3), 995-1001.
  7. Cho, N. J., Ryu, K. M., and Kim, S. K. (2001). A study on the factors influencing the level of immersion in online games. Proceedings paper in Korean Institute of Industrial Engineers, 411-414.
  8. Cho, S. H. (2017). A study on the relationship between game, flow and gamer satisfaction of game as a leisure activity: Focusing on Pokemon Go. International Journal of Tourism Management and Science, 32(4), 43-61.
  9. Choi, B. S., Kim, S. C., Jeong, Y. H., and Lee, W. D. (2012). Use cases and metadata design for integration of broadcasting service with augmented reality. The Korean Society Of Broad Engineers Conference, 7.
  10. Choi, J. W., Seok, J. H., Hwang, I. H., and Park, K. J. (2010). Augmented Reality World on the future direction of research. KSDS Conference Proceeding, 190-191.
  11. Choi, Y. W., Yang, H. M., Im, S. A., Kim, J., Lee, S. H., and Heo, J. M. (2021). Pokemon Go: Experiences of mobile game in augmented reality among players over 40s. Korean Journal of Leisure, Recreation & Park, 45(1), 39-53.
  12. Chung, B. G., and Dong, H. L. (2019). Influential factors on technology acceptance of Augmented Reality (AR). Asia-Pacific Journal of Business Venturing and Entrepreneurship, 14(3), 153-168.
  13. Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety. Washington: Jossey-Bass Publishers.
  14. Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York: Harper & Row.
  15. Csikszentmihalyi, M. (2003). Beyond Boredom and Anxiety: Experiencing Flow in Work and Play. Jossey-Bass.
  16. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
  17. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the work place. Journal of Applied Social Psychology, 22(14), 1111-1132.
  18. Davis, S., Nesbitt, K., and Nalivaiko, E. (2015). Comparing the onset of cybersickness using the Oculus Rift and two virtual roller coasters. Proceedings of the 11th Australasian Conference on Interactive Entertainment, 3-14.
  19. Fornell, C., and Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  20. Heo, O., and Chung, D. H. (2011). Influence of augmented reality advertising on advertising attitude, brand attitude, and purchase intention through mediator presence. Advertising Research, 90, 71-98.
  21. Jang, C. H. (2013). A Study of Factors Affecting Continuous Intentions of Social Network Games -focus on smart device users. The Graduate School of Sejong University.
  22. Jang, E. Y. (2019). The Effects of Flow Experience according to Trick Eye Museum Experience using an AR App on User Satisfaction -Focused on the Experience Economy Theory by Pine and Gilmore-. Graduate School of Advertising & Public Relations, Hongik University.
  23. Jennifer, S. (2003). Interactivity -as- product and interactivity -as- process. The Information Society, 20(5), 391-394.
  24. Jeong, D. Y. (2010). The change of future from augmented reality. SERI Management Note, Samsung Economic Research Institute, 46.
  25. Jo, J. W., and Sung, J. Y. (2014). Augmented reality advertisement effect based on the mediating role of diagnosticity and psychological Distance. The Korean Journal of Advertising, 25(1), pp.203-221.
  26. Joo, Y. J., Chung, A. K., Kang, J. J., and Jung, B. K. (2015). Identification of the Structural relationship between presence, service quality, flow and learning satisfaction in mobile learning. The journal of the institute of internet, broadcasting and communication, 15(4), 169-175.
  27. Jung, S. A. (2018). A Study on the Production Plan for Reducing Cybersickness in Virtual Reality Game. Graduate School of Software, Soongsil University.
  28. Kaufmann, H., and Schmalstieg, D. (2003). Mathematics and geometry education with collaborative augmented reality. Computers & Graphics, 27(3), 339-345.
  29. Kerlinger, F. N., and Lee, H. B. (2000). Foundations of Behavioral Research (4th ed.). Orlando, FL: Harcourt College Publishers.
  30. Kim, D. J. (2011). An Empirical Study on User Satisfaction and the Influencing Factors for Continuous Usage of Social Network Service. Graduate School, Chungang University.
  31. Kim, D. S., Park, H. J., and Jeon, J. C. (2010). Content Service Technology based Mobile Augmented Reality (in Korean). Review of Korean society for Internet Information, 11(1), 24-32.
  32. Kim, H. K., Park, J. H., Kim, Y. S., and Choi, J. G. (2020). The effect of augmented reality-based fashion product application on intention to use. Journal of Information Technology Services, 19(1), 80-102.
  33. Kim, H. S. (2016). The Effect of Similar Experiences on the Reality of VR Games: Focusing on the Mediating Effect of Immersion- Master Diss., Sogang University.
  34. Kim, J., and Park, J. (2016). Cyber Sickness mitigation measures with non-pharmacological methods. The HCI Society of Korea, 1, 161-163.
  35. Kim, J. E., and Lee, H. J. (2017). Development trends of mobile augmented reality game platform and user interface. Journal of Korea Game Society, 17(6), 7-17.
  36. Kim, J. H., and Kang, H. M. (2008). A causal model of the sense of presence and the flow level of cyber sport games. Korean Society for the Sociology Sport, 21(3), 579-591.
  37. Kim, J. K., Cheng, X., and Kim, J. Y. (2019). A comparative study on technology readiness index of third party payment service between Korea and China. Journal of Digital Convergence, 17(8), 115-122.
  38. Kim, K. H., and Seo, B. J. (2017). A study on immersion and presence of VR Karaoke Room implementations in mobile HMD environments. Journal of Korea Game Society, 17(6), 19-28.
  39. Kim, K. S. (2013). A study on the relationship between the characteristics of the wind runner game and its game reality, immersion and intent for repeated usage. The e-Business Studies, 14(3), 3-36.
  40. Kim, W. S., Yun, J. S., Lim, C., and Min, B. C. (2010). An analysis of the repetitive sound effects influencing on game user's flow. The Journal of the Korea Contents Association, 10(2), 149-156.
  41. Kim, K. Y., and Jung, U. (2020). A study on the impact of perceived characteristics of augmented reality (AR) services on user satisfaction and intention to use. Global Business Administration Review, 17(2), 187-211.
  42. Kim, M. H. (2014). A Study on the Degree of User's Freedom in the Sandbox Game. Graduate School, Soongsil University.
  43. Kim, S. S. (2019). A Study of the Factors Affecting Continous Usage Intention of Data Driven Artificial Intelligence Product Service System. Graduate School of Soongsil University.
  44. Kim, T., and Biocca, F. (1997). Telepresence via television: Two dimensions of telepresence may have different connections on memory and persuasion. Journal of Computer-Mediated Communication, 3(2).
  45. Kim, Y. S. (2009). The Effect of The Attributes of Ubiquitous and Perceived Interactivity on Professional Sports Team Loyalty. Master Diss., Graduate School of Physical Education, Kyung Hee University.
  46. Ko, Y. S. (2020). A Study on the Influence of Personal Characteristics by Operation Actions in Virtual Reality on Cyber Motion Sickness. The Graduate School of Hanyang University.
  47. Korea Creative Content Agency (2020). Survey Repots on Game Users. Report, Korea Creative Content Agency.
  48. Kwon, O. H. (2012). A Study on Game Oriented Virtual World and Socially Virtual World in Metarverse -Focused on the Flow Theory-. The Graduate School of Design, Konkuk University.
  49. Lee, G. D. (2020). The effects of game properties and gratifications on continuance intention of location-based augmented reality game. Journal of The Korea Contents Association, 20(4), 498-507.
  50. Lee, J. H., and Park, C. (2011), A study on the antecedent and consequential factors of accessibility to social games. Proceedings Paper in Korea Society of Management Information Systems, pp.150-154.
  51. Lee, S. B., Lee, Y. K., and Park, C. U. (2017). The impact of SNG characteristics through flow and satisfaction on stickiness. The Journal of Culture Policy, 31(2), 138-161.
  52. Lee, S. C., Kim, N. H., and Seo, Y. H. (2003). The effect of flow and addiction upon satisfaction and customer loyalty in online games. Korean Management Review, 32(5), 1479-1501.
  53. Lee, H. J., Cha, S. A., and Kwon, H. N. (2015). Study on the effect of augmented reality contents-based instruction for adult learners on academic achievement, interest and flow. The Journal of the Korea Contents Association, 16(1), 424-437.
  54. Lee, J. S. (2000). VR Theme Park Applicated of Virtual Reality in the view of Play Instinct. Graduate School of Mass Communication, Sogang University.
  55. Lee, J. S., Sim, H. A., Kim, K. Y., and Lee, K. S. (2010). Effects of reality based science Learning program on Learning motivation and achievement: Development and implementation of elementary school Level's science Learning program applied the Keller's ARCS model. Theory and practice of Education, 15(1), 99-121.
  56. Lee, J. S., Yang, S. H., and Song, B. W. (2021). Study on the factors affecting the intention to use real-time video conferencing using extended technology acceptance model. The Journal of the Korea Contents Association, 21(1), 292-310.
  57. Lee, S. H. (2006). The Effects of Ubiquitous Attributes of Mobile Contents on Perceived Interactivity and Behavioral Outcome. Ph.D Diss., The Graduate School of Seoul National University.
  58. Lombard, M., and Jennifer S. (2001). Interactive advertising and presence: A framework. Journal of Interactive Advertising, 1(2), 56-65.
  59. Na, J. Y., and Wui, M. Y. (2019). A study on the intention of using VR games: Focusing on technology acceptance model (TAM). Journal of Korea Game Society, 19(3), 53-64.
  60. Nam, S. S., Yu, H. S., and Shin, D. H. (2017). User experience in virtual reality games: The effect of presence on enjoyment. Korean Telecommunications Policy Review, 24(3), 85-125.
  61. Newhagen, J. E., and Rafaeli S. (1995). Why communication researchers should study the internet: A dialogue. Journal of Computer Mediated Communication. 1(4), 2-13.
  62. Paavilainen, J., Korhonen, H., Alha, K., Stenros, J., Koskinen, E., and Mayra, F. (2017). The Pokemon GO experience: A location-based augmented reality mobile game goes mainstream. In Proceedings of the 2017 CHI conference on human factors in computing systems, 2493-2498.
  63. Park, J. M., and Noh, G. Y. (2015). The effects of interactivity on user experience and intention to use in mobile fitness app Game. Journal of Korea Game Society, 15(6), 17-28.
  64. Park, W. W., Go, D. W., and Yun, E. (2010). Improving causality: The significance of control variable, phenomena, and recommendations. Seoul Journal of Industrial Relations, 21, 1-49.
  65. Pyo, M. S. (2019). A Study on the Effect of Eye Blink Rate by VR Contents Viewing: Focused on Presence and Sickness. Ph.D Diss., The Graduate School, Kwangwoon University.
  66. Qiao, R., and Han, D. S. (2019) A study on the reuse intention of virtual reality (VR) content using technology acceptance model. Journal of Korea Game Society, 19(5), 115-131.
  67. Rack, S. (2020). How Pokemon Go has changed my life, Retreived from https://www.bbc.com/news/uk-england-coventry-warwickshire-49731283.
  68. Rauschnabel, P. A., Rossmann, A., and Dieck, M. C. tom. (2017), An adoption framework for mobile augmented reality games: The case of Pokemon Go. Computers in Human Behavior, 76(11), 276-286.
  69. Rebenitsch, L., and Owen, C. (2014) Individual variation in susceptibility to cybersickness. ACM symposium on User Interface Software and Technology, 309-317.
  70. Salehan, M., and Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29(6), 2632-2639.
  71. Seong, B. S. (2012). The influence of the amusing factors on commitment and satisfaction. Journal of The Korean Society for Computer Game, 25(3), 139-147.
  72. Shen, X. (2018). The Influence of Affordance of Mobile Augmented Reality Games on User Experience, Flow and Satisfaction. The Graduate School Chung-Ang University.
  73. Shin, D. H., and Shin, Y. J. (2011). Why do people play social network games. Computers in Human Behavior, 27, 852-861.
  74. Shin, S. K. (2017). A Study on the Augmented Reality Game Use Influences in Game Flow: Focusing on Pokemon Go. Ph.D Diss. The Graduate School of Hankuk University of Foreign Studies.
  75. Slater M. and Usoh, M. (1993). Representation systems, perceptual position, and presence in immersive virtual environments. Presence. 2(3), 221-233.
  76. Son, J. W. (2017). A Study on The Application Status of Cyber Sickness Mitigation Methods in Korean Virtual Reality Games. The Graduate School Sangmyung University.
  77. Song, C. S., and Shin, J. C. (1999). Building interactivity on the internet. Korean Journal of Marketing, 14(3), 69-95.
  78. Suh, D. H. (2015). A study on the effectiveness of the image recognition technique of augmented reality contents. Cartoon and Animations Studies, 41, 337-356.
  79. Susna, A. J. and Herbert W. M. (1996). Development and validation of a scale to measure optimal experience: The flow state scale. Journal of Sport and Exercise Psychology, 18, 17-35.
  80. Sutherland, I. E. (1968). A head-mounted three dimensional display. Paper Presented at the Fall Joint Computer Conference, ACM.
  81. Sweetser, P., and Wyeth, P. (2005). Game flow: A model for evaluating player enjoyment in games. Computers in Entertainment, 3(3), 1-24.
  82. Wu, G. (2005). The media role of perceived interactive in the effect of actual interactivity on attitude toward the website. Journal of Interactive Advertising, Spring, URL: jiad.org/vol5/no2/wu
  83. Yang, E. B., and Ryu, J. H. (2018). The effect of segmentation principle on usability and cognitive load in augmented reality. The Journal of Educational Research, 40(1), 49-71.
  84. Yang, Y. S. (2014). A Study on Interaction Effect of Flow Experience to Interactivity of Social Media and Intention to Use: Focused on Difference in Decision Stage of Travel Planning. The Graduate School of Sejong University.
  85. Yim, Y. K., and Lee, E. J. (2017). Augmented reality (AR) studies in image system. The Journal of the Korea Society of Art & Design, 20(2), 75-97.
  86. Yoon, J. Y. (2020). Intention to reuse internet primary bank using extended technology acceptance model. Consumer Policy and Education Review, 16(1), 43-64.
  87. Yoon, J. Y., and Moon, I. Y. (2012). The study on marker-less tracking algorithm performance based on mobile augmented reality. The journal of Korea Navigation Institute, 16(6), 1032-1037.
  88. Zhang, Y. N. (2020). A Comparative Study on the Influencing Factors of 3D Content Experience between Korea and China. Graduate School, Chungbuk National University.