A Conceptual Model of Personalized Virtual Reality Trail Running Gamification Design

Authors

  • Raslapat Suteeca Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand
  • Smitti Darakorn Na Ayuthaya Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand
  • Supaporn Kiattisin Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

DOI:

https://doi.org/10.13052/jmm1550-4646.1947

Keywords:

Persuasive strategy, target behavior, user personal factors, social cognitive model, gamification, structure equation modelling (SEM)

Abstract

Individuals’ running styles define trail running. Diverse motivational strategies for running emerge because of diverse running behaviors. Customizable design for motivation: when it comes to environmental considerations during a product’s or service’s use stage, the design process has become increasingly focused on behavior. Virtual reality enables the creation and integration of a variety of environments, as well as the redesign, retesting, and enhancement of these environments within a virtual computing structure. These benefits exist because players’ perspectives and behaviors in virtual environments are more comparable to those in their physical environments. The purpose of this study is to create a model for the relationship between persuasive strategy, user personal factors and target behavior that is effective based on the Social Cognitive Model, two hypotheses are tested using structural equation modelling (SEM). According to the findings, persuasive strategies have a significant positive influence on user personal factors. Second, user personal factors were able to influence target behaviors. To increase intrinsic motivation, virtual reality application designers should support persuasive tactics such as goal setting and self-monitoring in a target context. These results may guide designers in selecting effective persuasion strategies for various user groups.

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Author Biographies

Raslapat Suteeca, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Raslapat Suteeca received the B.Sc. degree in education technology from Srinakarinwirot University, Thailand in 2001. He received the M. Edu. degree in development psychology from Srinakarinwirot University in 2004. She is currently Ph.D. student in Technology of Information System Management. Her areas of research interests are Information Technology Management, Multimedia and Programming for digital business.

Smitti Darakorn Na Ayuthaya, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Smitti Darakorn Na Ayuthaya received the B.Econ. degree in applied business administrator from University of the Thai Chamber of Commerce, Bangkok, Thailand, in 1981, the M.B.A. degree in marketing, Colorado university, United States of America in 1985, the M.B.A. degree in innovation management from Ramkhamhaeng university, Bangkok, Thailand, the Ph.D. degree in Public Administration from University of Northern Philippines, Philippines, in 2010, and the Ph.D. degree in business administration, Lyceum of Philippines in 2020 and 2006. He is currently the program director of Master of Science program in information technology management, Faculty of engineering, Mahidol University, Thailand. He is a member of broad of the Zoological Park organization of Thailand Acting Director of the Zoological Park Organization of Thailand.

Supaporn Kiattisin, Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand

Supaporn Kiattisin received the B.Eng. degree in applied computer engineering from the Chiang Mai University, Chiang Mai, Thailand, in 1995, the M.Eng. degree in electrical engineering and the Ph.D. degree in electrical and computer engineering form King Mongkut’s University of Technology Thonburi, Bangkok, Thailand, in 1998, and 2006. She is currently the program director of Technology of Information System Management Division, Faculty of Engineering, Mahidol University, Thailand. Her researches interests include computer vision, image processing, robot vision, signal processing, pattern recognition, artificial intelligence, IoT, IT management, digital technologies, big data and enterprise architecture with TOGAF 9 certified. She is a member of IEICE and TESA. She served as a Head of IEEE Thailand Chapter in Bio Medical Engineering. She also served as the Chairman of the TimesSOC Transaction Thailand. Enterprise Architecture (EA), data sciences, information technology in E-government and digital economy (DE).

References

D. Arigo, M. M. Brown, K. Pasko, and J. Suls. 2020. Social comparison features in physical activity promotion apps: scoping meta-review J. medical Internet research, vol. 22, no. 3, p. e15642

D. Cho and H. Kim. 2020. The influence of visual design class using gamification on the learning motivation and academic achievement of first-year high school learners, Archives of Design Research, vol. 33, no. 2, pp. 215–228.

K. Al-Kodmany. 2002. Visualization tools and methods in community planning: from freehand sketches to virtual reality. J. planning Literature, vol. 17, no. 2, pp. 189–211.

R. Bartle 1996. Hearts, clubs, diamonds, spades: Players who suit MUDs, J. MUD research, vol. 1, no. 1, p. 19.

B. Buxton. 2010. Sketching user experiences: getting the design right and the right design. Morgan kaufmann,

W. W. Chin, B. L. Marcolin, and P. R. Newsted. 2003. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study, Information systems research, vol. 14, no. 2, pp. 189–217.

A. Schmeil, M. J. Eppler, and S. de Freitas. 2012. A structured approach for designing collaboration experiences for virtual worlds, J. Association for Information Systems, vol. 13, no. 10, p. 2.

V. Liagkou, D. Salmas, and C. Stylios. 2019. Realizing virtual reality learning environment for industry 4.0, Procedia CIRP, vol. 79, pp. 712–717.

K. D. Carillo. 2010. Social cognitive theory in is research–literature review, criticism, and research agenda, in International Conference on Information systems, Technology and management,: Springer, pp. 20–31.

R. Orji and K. Moffatt. 2018. Persuasive technology for health and wellness: State-of-the-art and emerging trends, Health informatics journal, vol. 24, no. 1, pp. 66–91.

R. Orji and R. L. Mandryk. 2014. Developing culturally relevant design guidelines for encouraging healthy eating behavior, International Journal of Human-Computer Studies, vol. 72, no. 2, pp. 207–223.

A. Bandura. 1998. Health promotion from the perspective of social cognitive theory, Psychology and health, vol. 13, no. 4, pp. 623–649.

K. Oyibo, I. Adaji, R. Orji, B. Olabenjo, M. Azizi, and J. Vassileva. 2018. Perceived persuasive effect of behavior model design in fitness apps, in Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, pp. 219–228.

M. Conner and P. Norman. 2015. EBOOK: Predicting and Changing Health Behaviour: Research and Practice with Social Cognition Models. McGraw-Hill Education (UK).

R. Orji. 2016. Persuasion and Culture: Individualism-Collectivism and Susceptibility to Influence Strategies, in PPT@ PERSUASIVE, pp. 30–39.

K. Oyibo and J. Vassileva. 2020. Persuasive Features that Drive the Adoption of a Fitness Application and the Moderating Effect of Age and Gender, Multimodal Technologies and Interaction, vol. 4, no. 2, p. 17.

L.-H. Shih and Y.-C. Jheng. 2017. Selecting persuasive strategies and game design elements for encouraging energy saving behavior, Sustainability, vol. 9, no. 7, p. 1281.

R. Orji, L. E. Nacke, and C. Di Marco. 2017. Towards personality-driven persuasive health games and gamified systems, in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 1015–1027.

C. Groening and C. Binnewies. 2019. Achievement unlocked!-The impact of digital achievements as a gamification element on motivation and performance, Computers in Human Behavior, vol. 97, pp. 151–166.

J. F. Hair, 2009. “Multivariate data analysis.”

W. G. Cochran. 2007. Sampling techniques. John Wiley & Sons.

R. E. Schumacker and R. G. Lomax. 2004. A beginner’s guide to structural equation modeling. psychology press.

M. W. Browne and R. Cudeck. 1992. Alternative ways of assessing model fit, Sociological methods & research, vol. 21, no. 2, pp. 230–258.

J. F. Hair Jr, “Multivariate Data Analysis Joseph F. Hair Jr. William C. Black Barry J. Babin Rolph E. Anderson Seventh Edition.”

J. Hair, W. Black, B. Babin, R. Anderson, and R. Tatham. 2010. Multivariate data analysis upper saddle river: pearson prentice hall, Links.

U. Sekaran and R. Bougie. 2016. Research methods for business: A skill building approach. John Wiley & Sons.

R. H. Hoyle. 1995. Structural equation modeling: Concepts, issues, and applications. Sage.

C. P. Tirtiana. 2013. Pengaruh kreativitas belajar, penggunaan media pembelajaran power point, dan lingkungan keluarga terhadap hasil belajar mata pelajaran akuntansi pada siswa kelas X AKT SMK Negeri 2 Blora tahun ajaran 2012/2013 (motivasi belajar sebagai variabel intervening), Economic Education Analysis Journal, vol. 2, no. 2, pp. 15–23.

B. M. Byrne. 2013.Structural equation modeling with EQS: Basic concepts, applications, and programming. Routledge.

L.-T. Hu and P. M. Bentler. 1995. “Evaluating model fit,”

H. Robin, L. Marc, and Z. Robert. 2004. A Formal Approach to Game Design and Game Research, GDC. San Jose.

Y. Xu. 2011. Literature review on web application gamification and analytics, Honolulu, HI, pp. 11-05.

V. Manrique, Inspiring Game Examples for Gamification Mechanics, Epic Win Blog.

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Published

2023-05-04

How to Cite

Suteeca, R. ., Ayuthaya, S. D. N. ., & Kiattisin, S. . (2023). A Conceptual Model of Personalized Virtual Reality Trail Running Gamification Design. Journal of Mobile Multimedia, 19(04), 1049–1066. https://doi.org/10.13052/jmm1550-4646.1947

Issue

Section

Multimedia Data and Applications on the Next Generation Communication

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