Browse > Article
http://dx.doi.org/10.22937/IJCSNS.2021.21.3.30

An Extended UTAUT2 model to Explain the Adoption of Virtual Reality Technology in Health Centers: An Empirical Study Based in Riyadh  

Algahtani, Manar (College of Computer and Information Sciences Imam Muhammad Ibn Saud Islamic University (IMSIU))
Altameem, Abdullah (College of Computer and Information Sciences Imam Muhammad Ibn Saud Islamic University (IMSIU))
Baig, Abdul Rauf (College of Computer and Information Sciences Imam Muhammad Ibn Saud Islamic University (IMSIU))
Publication Information
International Journal of Computer Science & Network Security / v.21, no.3, 2021 , pp. 219-228 More about this Journal
Abstract
The adoption of new technology in any organization will represent change, and such change needs user acceptance for its successful implementation. Saudi Arabian health centers are no exception; therefore, the current study will investigate the adoption of new technology, namely that of virtual reality (VR), within health centers in Saudi Arabia and specifically in Riyadh City. This study explores the current state of VR technology adoption, factors that influence such adoption, and the extent of this technology's efficiency when it is used for vaccinating children. The data were collected from two samples: workers in vaccination clinics who responded to a survey and a group of children who participated in the VR technology experiment. The current study proposed a model based on the unified theory of acceptance and use of technology 2 (UTAUT2), with the addition of two variables: personal innovativeness and satisfaction. The results indicated that the respondents' perceptions regarding the health centers' infrastructure in terms of adopting VR were moderate. Among the factors affecting VR adoption, satisfaction, personal innovativeness, and behavioral intention were identified as vastly influential factors. From the eight hypotheses, six were found to be supported, with their factors significantly influencing behavioral intention with regard to VR technology adoption. Besides, the experiment concerning the use of VR technology on children verified the technique's high efficiency in terms of providing pain management and fear removal. These findings support the continuity of VR technology use, expand its future application fields, and integrate this study into the literature on technology acceptance models for VR adoption, as limited studies have covered this topic; consequently, this will benefit future research in this field.
Keywords
Technology Adoption; Virtual Reality; UTAUT2; Health Centers;
Citations & Related Records
연도 인용수 순위
  • Reference
1 de Carvalho, M., Dias, T., Duchesne, M., Nardi, A., & Appolinario, J. (2017). Virtual reality as a promising strategy in the assessment and treatment of bulimia nervosa and binge eating disorder: a systematic review. Behavioral Sciences, 7(3), 43   DOI
2 Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960-967   DOI
3 Gharaibeh, M. K., & Arshad, M. R. M. (2018). Determinants of intention to use mobile banking in the North of Jordan: extending UTAUT2 with mass media and trust. Journal of Engineering and Applied Sciences, 13(8), 2023-2033
4 Alrawi, M. A. S., GanthanNarayanaSamy, R. Y., Shanmugam, B., Lakshmiganthan, R., & NurazeanMaarop, N. K. (2020). Examining factors that effect on the acceptance of mobile commerce in malaysia based on revised UTAUT. Indonesian Journal of Electrical Engineering and Computer Science, 20(3), 1173-1184   DOI
5 Lee, V. Y., Caillaud, C., Fong, J., & Edwards, K. M. (2018). Improving vaccine-related pain, distress or fear in healthy children and adolescents-a systematic search of patient-focused interventions. Human vaccines & immunotherapeutics, 14(11), 2737-2747
6 (2019). Retrieved from https://www.moh.gov.sa/en/Ministry/About/Pages/Vision.aspx
7 Sutherland, J., Belec, J., Sheikh, A., Chepelev, L., Althobaity, W., Chow, B. J., ... & La Russa, D. J. (2019). Applying modern virtual and augmented reality technologies to medical images and models. Journal of digital imaging, 32(1), 38-53   DOI
8 Real, F. J., DeBlasio, D., Beck, A. F., Ollberding, N. J., Davis, D., Cruse, B., ... & Klein, M. D. (2017). A virtual reality curriculum for pediatric residents decreases rates of influenza vaccine refusal. Academic pediatrics, 17(4), 431-435   DOI
9 Norman, K. L. (2017). Cyberpsychology: An introduction to human-computer interaction. Cambridge university press
10 Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 Model to Determine Factors Affecting Adoption of Mobile Banking Services: A Qualitative Approach. International Journal of Interactive Mobile Technologies, 12(4)
11 Venkatesh, V., Morris, M., Davis, G., and Davis, F. (2003). 'User acceptance of information technology: toward a unified view.' MIS Quarterly, vol. 27, no. 3, pp. 425-478   DOI
12 Khadra, C., Ballard, A., Paquin, D., Cotes-Turpin, C., Hoffman, H. G., Perreault, I., ... & Le May, S. (2020). Effects of a projector-based hybrid virtual reality on pain in young children with burn injuries during hydrotherapy sessions: A within-subject randomized crossover trial. Burns, 46(7), 1571-1584   DOI
13 Robertson, S. (2016, October). Virtual reality as a complementary therapy to improve pain in sickle cell disease. In Travaux presentes a l'Academy for Sickle Cell and Thalassaemia Conference (Vol. 5)
14 Alotaibi, Y. K., & Federico, F. (2017). The impact of health information technology on patient safety. Saudi medical journal, 38(12), 1173   DOI
15 Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 36(1), 157-178   DOI
16 Kim, D., & Ko, Y. J. (2019). The impact of virtual reality (VR) technology on sport spectators' flow experience and satisfaction. Computers in human behavior, 93, 346-356   DOI
17 Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in psychology, 10, 1652   DOI
18 Lin, C. (2019). Applying the UTAUT Model to Understand Factors Affecting the Use of E-books in Fujian, China
19 Maulidina, P. R., Sarno, R., Sungkono, K. R., & Giranita, T. A. (2020, September). Using Extended UTAUT2 Model to Determine Factors Influencing the Use of Shopee E-commerce. In 2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (pp. 493-498). IEEE
20 Hough-Telford, C., Kimberlin, D. W., Aban, I., Hitchcock, W. P., Almquist, J., Kratz, R., & O'Connor, K. G. (2016). Vaccine delays, refusals, and patient dismissals: a survey of pediatricians. Pediatrics, 138(3)
21 Jacox, L. A., Mihas, P., Cho, C., Lin, F. C., & Ko, C. C. (2019). Understanding technology adoption by orthodontists: A qualitative study. American Journal of Orthodontics and Dentofacial Orthopedics, 155(3), 432-442   DOI
22 Alqahtani, A. S., Daghestani, L. F., & Ibrahim, L. F. (2017). Environments and system types of virtual reality technology in stem: a survey. International Journal of Advanced Computer Science and Applications (IJACSA), 8(6)
23 Wu, C. M., Hsu, C. W., Lee, T. K., & Smith, S. (2017). A virtual reality keyboard with realistic haptic feedback in a fully immersive virtual environment. Virtual Reality, 21(1), 19-29   DOI
24 Kayali, M., & Alaaraj, S. (2020). Adoption of Cloud Based E-learning in Developing Countries: A Combination A of DOI, TAM and UTAUT. Int. J. Contemp. Manag. Inf. Technol, 1(1), 1-7
25 Zhou, L. L., Owusu-Marfo, J., Antwi, H. A., Antwi, M. O., Kachie, A. D. T., & Ampon-Wireko, S. (2019). Assessment of the social influence and facilitating conditions that support nurses' adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model. BMC medical informatics and decision making, 19(1), 1-9   DOI
26 Ksenofontov, A. A., Ksenofontov, A. S., Kirpicheva, M. A., & Trifonov, P. V. (2019, March). The use of modern management technology to improve business efficiency. In IOP Conference Series: Materials Science and Engineering (Vol. 483, No. 1, p. 012114). IOP Publishing
27 Skoumpopoulou, D., Wong, A. K., Ng, P. M., & Lo, M. F. (2018). Factors that affect the acceptance of new technologies in the workplace: a cross case analysis between UK and Hong Kong
28 Li, L., Yu, F., Shi, D., Shi, J., Tian, Z., Yang, J., ... & Jiang, Q. (2017). Application of virtual reality technology in clinical medicine. American journal of translational research, 9(9), 3867
29 Khatimah, H., Susanto, P., & Abdullah, N. L. (2019). Hedonic motivation and social influence on behavioral intention of e-money: The role of payment habit as a mediator. International Journal of Entrepreneurship, 23(1), 1-9
30 Wan, L., Xie, S., & Shu, A. (2020). Toward an Understanding of University Students' Continued Intention to Use MOOCs: When UTAUT Model Meets TTF Model. SAGE Open, 10(3), 2158244020941858
31 Hsieh, M. C., & Lee, J. J. (2018). Preliminary study of VR and AR applications in medical and healthcare education. J Nurs Health Stud, 3(1), 1
32 DeLone, W. H., & McLean, E. R. (2016). Information systems success measurement. Foundations and Trends® in Information Systems, 2(1), 1-116   DOI
33 Hasudungan, T., & Prasetio, A. (2019). Analysis of Factors That Influence Behavior Using Mobile Cellular Application AB with Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) in Millennial Customers of ABC in Jabodetabek and Jabar
34 Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268   DOI
35 Clark, R., & Baum, N. (2019). Applications of Virtual Reality in Modern Medicine. The Journal of Medical Practice Management: MPM, 34(4), 226-230
36 Sathik, M. M. (2018). Role of Virtual Reality in Medical Diagnosis. International Journal of Computing, 7(2)
37 Pugliese-Garcia, M., Heyerdahl, L. W., Mwamba, C., Nkwemu, S., Chilengi, R., Demolis, R., ... & Sharma, A. (2018). Factors influencing vaccine acceptance and hesitancy in three informal settlements in Lusaka, Zambia. Vaccine, 36(37), 5617-5624   DOI
38 Arora, K. S., Morris, J., & Jacobs, A. J. (2018). Refusal of Vaccination: A Test to Balance Societal and Individual Interests. The Journal of clinical ethics, 29(3), 206
39 Smith, V., Warty, R. R., Sursas, J. A., Payne, O., Nair, A., Krishnan, S., ... & Vollenhoven, B. (2020). The Effectiveness of Virtual Reality in Managing Acute Pain and Anxiety for Medical Inpatients: Systematic Review. Journal of medical Internet research, 22(11), e17980   DOI
40 Silverberg, Z., Silverberg, M., & La Puma, J. (2017). Virtual reality and vaccination: see the sea and be painfree?. Travaux presentes au World Summit on Pediatrics, 24
41 Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International journal of medical informatics, 101, 75-84   DOI
42 Weech, S., Kenny, S., & Barnett-Cowan, M. (2019). Presence and cybersickness in virtual reality are negatively related: a review. Frontiers in psychology, 10, 158   DOI
43 Arcioni, B., Palmisano, S., Apthorp, D., & Kim, J. (2019). Postural stability predicts the likelihood of cybersickness in active HMD-based virtual reality. Displays, 58, 3-11   DOI
44 Moro, L. (2017). Hallucinatory altered states of consciousness as virtual realities. Turun yliopiston julkaisuja. Sarja B, osa, 440
45 Wei, W., Qi, R., & Zhang, L. (2019). Effects of virtual reality on theme park visitors' experience and behaviors: A presence perspective. Tourism Management, 71, 282-293   DOI
46 Mack, H. (2017). Pilot study shows VR goggles reduce fear, pain in children during vaccination. Mobile Health News