983
Views
8
CrossRef citations to date
0
Altmetric
Articles

The effect of presence in virtual reality video on handwashing intention

&
Pages 261-278 | Received 11 Jul 2019, Accepted 23 May 2020, Published online: 19 Jun 2020

References

  • Abroms, L. C., & Maibach, E. W. (2008). The effectiveness of mass communication to change public behavior. Annual Review of Public Health, 29, 219–234. doi: 10.1146/annurev.publhealth.29.020907.090824
  • Ahn, S. J. (2015). Incorporating immersive virtual environments in health promotion campaigns: A construal level theory approach. Health Communication, 30(6), 545–556. doi: 10.1080/10410236.2013.869650
  • Ahn, S. J., Johnsen, K., Robertson, T., Moore, J., Brown, S., Marable, A., & Basu, A. (2015). Using virtual pets to promote physical activity in children: An application of the youth physical activity promotion model. Journal of Health Communication, 20(7), 807–815. doi: 10.1080/10810730.2015.1018597
  • Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 173–221). Mahwah, NJ: Erlbaum.
  • Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127(1), 142–161. doi: 10.1037/0033-2909.127.1.142
  • Ali, M. M., Verrill, L., & Zhang, Y. (2014). Self-reported hand washing behaviors and foodborne illness: A propensity score matching approach. Journal of Food Protection, 80(3), 1355–1363. doi: 10.4315/0362-028X.JFP-16-510
  • Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155–173. doi: 10.1007/BF02294170
  • Andrews, K. R., Silk, K. S., & Eneli, I. U. (2010). Parents as health promoters: A theory of planned behavior perspective on the prevention of childhood obesity. Journal of Health Communication, 15(1), 95–107. doi: 10.1080/10810730903460567
  • Arbuckle, J. L. (2012). IBM® SPSS® Amos™ 21 user’s guide. Chicago: IBM Corp.
  • Armitage, C. J., & Talibudeen, L. (2010). Test of a brief theory of planned behaviour-based intervention to promote adolescent safe sex intentions. British Journal of Psychology, 101(1), 155–172. doi: 10.1348/000712609X431728
  • Aunger, R., Greenland, K., Ploubidis, G., Schmidt, W., Oxford, J., & Curtis, V. (2016). The Determinants of Reported personal and Household hygiene Behaviour: A Multi-country study. PloS One, 11(8), e0159551.
  • Benlter, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. doi: 10.1037/0033-2909.107.2.238
  • Bleakley, A., Jordan, A. B., Hennessy, M., Glanz, K., Strasser, A., & Vaala, S. (2015). Do emotional appeals in public service advertisements influence adolescents’ intention to reduce consumption of sugar-sweetened beverages? Journal of Health Communication, 20(8), 938–948. doi: 10.1080/10810730.2015.1018593
  • Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in LISREL maximum likelihood estimation. Psychometrika, 50(2), 229–242. doi: 10.1007/BF02294248
  • Borchgrevink, C. P., Cha, J., & Kim, S. (2013). Hand washing practices in a college town environment. Journal of Environmental Health, 75(8), 18–24.
  • Cacioppo, J. T., & Petty, R. E. (1984). The elaboration likelihood model of persuasion. Advances in Consumer Research, 11, 673–675.
  • Cheng, L. K., Chieng, M. H., & Chieng, W. H. (2014). Measuring virtual experience in a three-dimensional virtual reality interactive simulator environment: A structural equation modeling approach. Virtual Reality, 18(3), 173–188. doi: 10.1007/s10055-014-0244-2
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Erlbaum.
  • Cooke, R., & French, D. P. (2008). How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis. Psychology and Health, 23(7), 745–765. doi: 10.1080/08870440701544437
  • Csikszentmihalyi, M. (1990). Flow. New York: Harper and Row.
  • Davis, J. P., Steury, K., & Pagulayan, R. (2005). A survey method for assessing perceptions of a game: The consumer playtest in game design. Game Studies, 5(1), 1–13.
  • Dillard, J. P., Shen, L., & Vail, R. G. (2007). Does perceived message effectiveness cause persuasion or vice versa? 17 consistent answers. Human Communication Research, 33(4), 467–488. doi: 10.1111/j.1468-2958.2007.00308.x
  • Ding, L., Velicer, W. F., & Harlow, L. L. (1995). Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling: A Multidisciplinary Journal, 2(2), 119–143. doi: 10.1080/10705519509540000
  • Dutta-Bergman, M. J. (2005). Developing a profile of consumer intention to seek out additional information beyond a doctor: The role of communicative and motivation variables. Health Communication, 17(1), 1–16. doi: 10.1207/s15327027hc1701_1
  • Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace & Company.
  • Faiola, A., Newlon, C., Pfaff, M., & Smyslova, O. (2013). Correlating the effects of flow and telepresence in virtual worlds: Enhancing our understanding of user behavior in game-based learning. Computers in Human Behavior, 29(3), 1113–1121. doi: 10.1016/j.chb.2012.10.003
  • Field, A. (2005). Discovering statistics using SPSS (Second). Newbury Park, CA: Sage.
  • Gerend, M. A., & Shepherd, J. E. (2012). Predicting human papillomavirus vaccine uptake in young adult women: Comparing the health belief model and theory of planned behavior. Annals of Behavioral Medicine, 44(2), 171–180. doi: 10.1007/s12160-012-9366-5
  • Guitton, M. J. (2012). The immersive impact of meta-media in a virtual world. Computers in Human Behavior, 28(2), 450–455. doi: 10.1016/j.chb.2011.10.016
  • Halkjelsvik, T., & Rise, J. (2015). Disgust in fear appeal anti-smoking advertisements: The effects on attitudes and abstinence motivation. Drugs: Education, Prevention and Policy, 22(4), 362–369. doi: 10.3109/09687637.2015.1015491
  • Han, I., Byun, S. Y., & Shin, W. S. (2018). A comparative study of factors associated with technology-enabled learning between the United States and South Korea. Educational Technology Research and Development, 66(5), 1303–1320.
  • Hassell, M. D., Goyal, S., Limayem, M., & Boughzala, I. (2012). Effects of presence, copresence, and flow on learning outcomes in 3D learning spaces. Administrative Issues Journal, 2(1), 62–73.
  • Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed). New York, NY: Guilford Publications.
  • Ho, S. S., Lwin, M. O., Sng, J. R., & Yee, A. Z. (2017). Escaping through exergames: Presence, enjoyment, and mood experience in predicting children's attitude toward exergames. Computers in Human Behavior, 72, 381–389. doi: 10.1016/j.chb.2017.03.001
  • Jo, S., Shin, H., Yoo, S., & Roh, H. (2012). The study of factors affecting tuberculosis preventive behavior intentions: An extension of HBM with mediating effects of self-efficacy and fear. Journal of Public Relations, 16(1), 148–177.
  • Jones, T., Moore, T., & Choo, J. (2016). The impact of virtual reality on chronic pain. PloS One, 11(12), e0167523.
  • Kahlor, L. (2010). PRISM: A planned risk information seeking model. Health Communication, 25(4), 345–356. doi: 10.1080/10410231003775172
  • Kaye, S. A., White, M. J., & Lewis, I. M. (2013). Individual differences in drivers’ cognitive processing of road safety messages. Accident Analysis & Prevention, 50, 272–281. doi: 10.1016/j.aap.2012.04.018
  • Kim, T., & Biocca, F. (1997). Telepresence via television: Two dimensions of telepresence may have different connections to memory and persuasion. Journal of Computer-Mediated Communication, 3(2). JCMC325. doi:10.1111/j.1083-6101.1997.tb00073.x.
  • Kim, S., & Cha, H. (2014). Influence of the type of media, crisis responsibility and crisis communication strategy on crisis perception and acceptance of the crisis communication. Korean Journal of Journalism & Communication Studies, 58(3), 111–144.
  • Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed). New York, NY: Guilford Press.
  • Korea Centers for Disease Control & Prevention. (2013). Prevent infection with proper handwashing. Retrieved from http://cdc
  • Lapinski, M. K., Maloney, E. K., Braz, M., & Shulman, H. C. (2013). Testing the effects of social norms and behavioral privacy on hand washing: A field experiment. Human Communication Research, 39(1), 21–46. doi: 10.1111/j.1468-2958.2012.01441.x
  • Lin, J. H. (2013). Identification matters: A moderated mediation model of media interactivity, character identification, and video game violence on aggression. Journal of Communication, 63(4), 682–702. doi: 10.1111/jcom.12044
  • Lombard, M., & Ditton, T. (1997). At the heart of it all: The concept of presence. Journal of Computer-Mediated Communication, 3, 2.
  • McCreery, M. P., Schrader, P. G., Krach, S. K., & Boone, R. (2013). A sense of self: The role of presence in virtual environments. Computers in Human Behavior, 29(4), 1635–1640. doi: 10.1016/j.chb.2013.02.002
  • Nabi, R. L. (2015). Emotional flow in persuasive health messages. Health Communication, 30, 114–124. doi: 10.1080/10410236.2014.974129
  • Nah, F. F. H., Eschenbrenner, B., & DeWester, D. (2011). Enhancing brand equity through flow and telepresence: A comparison of 2D and 3D virtual worlds. MIS Quarterly, 35, 731–747.
  • Ortony, A., Clore, G. L., & Collins, A. (1988). The cognitive structure of emotions. New York, NY: Cambridge University Press.
  • Paek, H. J., Gunther, A. C., McLeod, D. M., & Hove, T. (2011). How adolescents' perceived media influence on peers affects smoking decisions. Journal of Consumer Affairs, 45(1), 123–146.
  • Pask, E. B., & Rawlins, S. T. (2016). Men’s intentions to engage in behaviors to protect against human papillomavirus (HPV): Testing the risk perception attitude framework. Health Communication, 31(2), 139–149. doi: 10.1080/10410236.2014.940670
  • Petty, R. E., Brinol, P., & Priester, J. R. (2009). Mass media attitude change: Implications of the elaboration likelihood model of persuasion. In J. Bryant & M. B. Oliver (Eds.), Media effects: Advances in theory and research (pp. 125–164). New York, NY: Routledge.
  • Rahman, M. J., Nizame, F. A., Unicomb, L., Luby, S. P., & Winch, P. J. (2017). Behavioral antecedents for handwashing in a low-income urban setting in Bangladesh: An exploratory study. BMC Public Health, 17(1), 392–402. doi: 10.1186/s12889-017-4307-7
  • Rodríguez-Ardura, I., & Meseguer-Artola, A. (2016). What leads people to keep on e-learning? An empirical analysis of users' experiences and their effects on continuance intention. Interactive Learning Environments, 24(6), 1030–1053. doi: 10.1080/10494820.2014.926275
  • Rogers, R. W. (1975). A protection motivation theory of fear appeals and attitude change. The Journal of Psychology, 91(1), 93–114.
  • Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. doi: 10.1037110003-066X.55.1.68
  • Ryu, Y., & Kim, S. (2015). Testing the heuristic/systematic information-processing model (HSM) on the perception of risk after the Fukushima nuclear accidents. Journal of Risk Research, 18(7), 840–859. doi: 10.1080/13669877.2014.910694
  • Sacco, W. P., Levine, B., Reed, D. L., & Thompson, K. (1991). Attitudes about condom use as an AIDS-relevant behavior: Their factor structure and relation to condom use. Psychological Assessment, 3(2), 265–272. doi: 10.1037/1040-3590.3.2.265
  • Schlosser, A. E. (2003). Experiencing products in the virtual world: The role of goal and imagery in influencing attitudes versus purchase intentions. Journal of Consumer Research, 30(2), 184–198. doi: 10.1086/376807
  • Seimetz, E., Slekiene, J., Friedrich, M. N., & Mosler, H. J. (2017). Identifying behavioural determinants for interventions to increase handwashing practices among primary school children in rural Burundi and urban Zimbabwe. BMC Research Notes, 10(1), 280–289. doi: 10.1186/s13104-017-2599-4
  • Serrano, B., Botella, C., Baños, R. M., & Alcañiz, M. (2013). Using virtual reality and mood-induction procedures to test products with consumers of ceramic tiles. Computers in Human Behavior, 29(3), 648–653. doi: 10.1016/j.chb.2012.10.024
  • Teo, T., Tsai, L. T., & Yang, C. C. (2013). Applying structural equation modeling (SEM) in Educational research. In M. S. Khine (Ed.), Application of structural equation modeling in educational research and practice (pp. 3–21). Rotterdam: Sense Publishers.
  • Treise, D., & Weigold, M. F. (2001). AIDS public service announcements: Effects of fear and repetition on predictors of condom use. Health Marketing Quarterly, 18(3–4), 39–61. doi: 10.1300/J026v18n03_05
  • Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communication Monographs, 59(4), 329–349. doi: 10.1080/03637759209376276
  • Wolfe, M. K., Wells, E., Mitro, B., Desmarais, A. M., Scheinman, P., & Lantagne, D. (2016). Seeking clearer recommendations for hand hygiene in communities facing Ebola: A randomized trial investigating the impact of six handwashing methods on skin irritation and dermatitis. PloS One, 11(12), e0167378. doi: 10.1371/journal.pone.0167378
  • Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. doi: 10.1177/0011000006288127
  • Xiao, Z., Li, X., Lin, D., & Tam, C. C. (2015). Mass media and HIV/AIDS prevention among female sex workers in Beijing, China. Journal of Health Communication, 20(9), 1095–1106. doi: 10.1080/10810730.2015.1018575
  • Yoo, W., Choi, D., & Park, K. (2016). The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea. Computers in Human Behavior, 62, 34–43. doi: 10.1016/j.chb.2016.03.058
  • Yoo, J. H., Kreuter, M. W., Lai, C., & Fu, Q. (2014). Understanding narrative effects: The role of discrete negative emotions on message processing and attitudes among low-income African American women. Health Communication, 29, 494–504. doi: 10.1080/10410236.2013.776001
  • Zeng, N., Pope, Z., & Gao, Z. (2017). Acute effect of virtual reality exercise bike games on college students' physiological and psychological outcomes. Cyberpsychology, behavior, and Social Networking., 20(7), 453–457.
  • Zhang, L., Kong, Y., & Chang, H. (2015). Media use and health behavior in H1N1 flu crisis: The mediating role of perceived knowledge and fear. Atlantic Journal of Communication, 23(2), 67–80. doi: 10.1080/15456870.2015.1013101
  • Zuckerman, A., & Chaiken, S. (1998). A heuristic-systematic processing analysis of the effectiveness of product warning labels. Psychology and Marketing, 15(7), 621–642.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.