Making Virtual Reality (VR)/Augmented Reality (AR) Possible to Strengthen Disaster Risk Reduction among Communities at Risk of Tsunami
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Al-Gahtani, S. S., & King, M. (1999). Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology. Behaviour & Information Technology, 18(4), 277–297. https://doi.org/10.1080/014492999119020
Alimamy, S., Deans, K., & Gnoth, J. (2018). An Empirical Investigation of Augmented Reality to Reduce Customer Perceived Risk. In P. Rossi & N. Krey (Eds.), Marketing Transformation: Marketing Practice in an Ever Changing World (pp. 127–135). Springer International Publishing. https://doi.org/10.1007/978-3-319-68750-6_42
Anderson, R., Booth, A., Eastwood, A., Rodgers, M., Shaw, L., Thompson Coon, J., Briscoe, S., Cantrell, A., Chambers, D., Goyder, E., Nunns, M., Preston, L., Raine, G., & Thomas, S. (2021). Synthesis for health services and policy: Case studies in the scoping of reviews. NIHR Journals Library. http://www.ncbi.nlm.nih.gov/books/NBK573412/
Angus, L., Snyder, I., & Sutherland‐Smith, W. (2004). ICT and educational (dis)advantage: Families, computers and contemporary social and educational inequalities. British Journal of Sociology of Education, 25(1), 3–18. https://doi.org/10.1080/0142569032000155908
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE Computer Graphics and Applications, 21(6), 34–47. https://doi.org/10.1109/38.963459
Baaren, E., van de Wijngaert, L., & Huizer, E. (2011). Understanding Technology Adoption Through Individual and Context Characteristics: The Case of HDTV. Journal of Broadcasting & Electronic Media, 55(1), 72–89. https://doi.org/10.1080/08838151.2011.546257
Basak, C., Boot, W. R., Voss, M. W., & Kramer, A. F. (2008). Can training in a real-time strategy video game attenuate cognitive decline in older adults? Psychology and Aging, 23(4), 765–777. https://doi.org/10.1037/a0013494
Benssam, A., Nouali-Taboudjemat, N., & Nouali, O. (2016). An e-readiness assessment model for disaster management. International Journal of Information Technology and Management, 15(2), 118–143. https://doi.org/10.1504/IJITM.2016.076412
Bhattacherjee, A., & Premkumar, G. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254.
Brown, N., Margus, C., Hart, A., Sarin, R., Hertelendy, A., & Ciottone, G. (2023). Virtual Reality Training in Disaster Medicine: A Systematic Review of the Literature. Simulation in Healthcare, 18(4), 255. https://doi.org/10.1097/SIH.0000000000000675
Carby, B. (2018). Integrating disaster risk reduction in national development planning: Experience and challenges of Jamaica. Environmental Hazards, 17(3), 219–233. https://doi.org/10.1080/17477891.2017.1415864
Charness, N., & Boot, W. R. (2009). Aging and Information Technology Use: Potential and Barriers. Current Directions in Psychological Science, 18(5), 253–258. https://doi.org/10.1111/j.1467-8721.2009.01647.x
Chau, P. Y. K. (1996). An Empirical Assessment of a Modified Technology Acceptance Model. Journal of Management Information Systems, 13(2), 185–204. https://doi.org/10.1080/07421222.1996.11518128
Chen, P.-H., & Truc, N. T. L. (2008). Computer-Aided Visual Communication for Way-Finding in Emergency in Indoor Environment. ISARC Proceedings, 440–446.
Cipresso, P., Giglioli, I. A. C., Raya, M. A., & Riva, G. (2018). The Past, Present, and Future of Virtual and Augmented Reality Research: A Network and Cluster Analysis of the Literature. Frontiers in Psychology, 9. https://www.frontiersin.org/articles/10.3389/fpsyg.2018.02086
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Fong, H., & Harris, E. (2015). Technology, innovation and health equity. Bulletin of the World Health Organization, 93(7), 438-438A. https://doi.org/10.2471/BLT.15.155952
Franchi, J. (1994). Virtual reality: An overview. TechTrends, 39(1), 23–26. https://doi.org/10.1007/BF02763870
García, S., Trejo, P., García, A., García, S., Trejo, P., & García, A. (2021). Intelligent VR-AR for Natural Disasters Management. In Augmented Reality and Its Application. IntechOpen. https://doi.org/10.5772/intechopen.99337
Khanal, S., Medasetti, U. S., Mashal, M., Savage, B., & Khadka, R. (2022). Virtual and Augmented Reality in the Disaster Management Technology: A Literature Review of the Past 11 years. Frontiers in Virtual Reality, 3. https://www.frontiersin.org/articles/10.3389/frvir.2022.843195
Klopfer, E., & Squire, K. (2008). Environmental Detectives—The development of an augmented reality platform for environmental simulations. Educational Technology Research and Development, 56(2), 203–228. https://doi.org/10.1007/s11423-007-9037-6
Lai, Y.-A., Ou, Y.-Z., Su, J., Tsai, S.-H., Yu, C.-W., & Cheng, D. (2012). Virtual disaster management information repository and applications based on linked open data. 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 1–5. https://doi.org/10.1109/SOCA.2012.6449431
Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: The influence of perceived user resources. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, 32(3), 86–112. https://doi.org/10.1145/506724.506730
Mehrabi, Z., McDowell, M. J., Ricciardi, V., Levers, C., Martinez, J. D., Mehrabi, N., Wittman, H., Ramankutty, N., & Jarvis, A. (2021). The global divide in data-driven farming. Nature Sustainability, 4(2), Article 2. https://doi.org/10.1038/s41893-020-00631-0
Mol, J. M., Botzen, W. J. W., & Blasch, J. E. (2022). After the virtual flood: Risk perceptions and flood preparedness after virtual reality risk communication. Judgment and Decision Making, 17(1), 189–214. https://doi.org/10.1017/S1930297500009074
Moudingo, J.-H., Ajonina, G., & Diyouke, E. M. (2015). Mangrove Social and Ecological resilience geared in the Cameroon Estuary. Journal of Ecology and the Natural Environment. https://www.semanticscholar.org/paper/Mangrove-Social-and-Ecological-resilience-geared-in-Moudingo-Ajonina/90f3eb11fd9c966f7a4c583e1905b4b6a26e1fdc
Ordaz, N., Romero, D., Gorecky, D., & Siller, H. R. (2015). Serious Games and Virtual Simulator for Automotive Manufacturing Education & Training. Procedia Computer Science, 75, 267–274. https://doi.org/10.1016/j.procs.2015.12.247
Post, J., Wegscheider, S., Mück, M., Zosseder, K., Kiefl, R., Steinmetz, T., & Strunz, G. (2009). Assessment of human immediate response capability related to tsunami threats in Indonesia at a sub-national scale. Natural Hazards and Earth System Sciences, 9(4), 1075–1086. https://doi.org/10.5194/nhess-9-1075-2009
R Core Team. (2023). R: A Language and Environment for Statistical Computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
Rialti, R., Filieri, R., Zollo, L., Bazi, S., & Ciappei, C. (2022). Assessing the relationship between gamified advertising and in-app purchases: A consumers’ benefits-based perspective. International Journal of Advertising, 41(5), 868–891. https://doi.org/10.1080/02650487.2022.2025735
Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Criteria for Scale Selection and Evaluation. In J. P. Robinson, P. R. Shaver, & L. S. Wrightsman (Eds.), Measures of Personality and Social Psychological Attitudes (pp. 1–16). Academic Press.
Ruggiero, L. (2018). A Review of Augmented Reality Applications for Building Evacuation (arXiv:1804.04186). arXiv. https://doi.org/10.48550/arXiv.1804.04186
Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User Acceptance of Virtual Reality: An Extended Technology Acceptance Model. International Journal of Human–Computer Interaction, 36(11), 993–1007. https://doi.org/10.1080/10447318.2019.1708612
Schwambach, G. C. S., López, Ó. H., Sott, M. K., Carvalho Tedesco, L. P., & Molz, R. F. (2022). Acceptance and perception of wearable technologies: A survey on Brazilian and European companies. Technology in Society, 68, 101840. https://doi.org/10.1016/j.techsoc.2021.101840
Sharma, S., Jerripothula, S., Mackey, S., & Soumare, O. (2014). Immersive virtual reality environment of a subway evacuation on a cloud for disaster preparedness and response training. 2014 IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI), 1–6. https://doi.org/10.1109/CIHLI.2014.7013380
Spahn, H., Hoppe, M., Kodijat, A., Rafliana, I., Usdianto, B., & Vidiarina, H. D. (2014). Walking the Last Mile: Contributions to the Development of an End-to-End Tsunami Early Warning System in Indonesia. In F. Wenzel & J. Zschau (Eds.), Early Warning for Geological Disasters: Scientific Methods and Current Practice (pp. 179–206). Springer. https://doi.org/10.1007/978-3-642-12233-0_10
Sunarta, I. N., Nugroho, S., & Adikampana, I. M. (2021). Spatial Transformation of Subak in Northern Kuta Tourism Area, Bali: From Agricultural to Cultural-Service. South Asian Journal of Social Studies and Economics, 26–38. https://doi.org/10.9734/sajsse/2021/v9i130229
Syed-Abdul, S., Malwade, S., Nursetyo, A. A., Sood, M., Bhatia, M., Barsasella, D., Liu, M. F., Chang, C.-C., Srinivasan, K., M., R., & Li, Y.-C. J. (2019). Virtual reality among the elderly: A usefulness and acceptance study from Taiwan. BMC Geriatrics, 19(1), 223. https://doi.org/10.1186/s12877-019-1218-8
Tüzün, H., & Özdinç, F. (2016). The effects of 3D multi-user virtual environments on freshmen university students’ conceptual and spatial learning and presence in departmental orientation. Computers & Education, 94, 228–240. https://doi.org/10.1016/j.compedu.2015.12.005
Velev, D., Zlateva, P., Steshina, L., & Petukhov, I. (2019). Challenges of Using Drones And Virtual/Augmented Reality for Disaster Risk Management. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-3-W8, 437–440. https://doi.org/10.5194/isprs-archives-XLII-3-W8-437-2019
Wegscheider, S., Post, J., Zosseder, K., Mück, M., Strunz, G., Riedlinger, T., Muhari, A., & Anwar, H. Z. (2011). Generating tsunami risk knowledge at community level as a base for planning and implementation of risk reduction strategies. Natural Hazards and Earth System Sciences, 11(2), 249–258. https://doi.org/10.5194/nhess-11-249-2011
Wu, P.-H., Hwang, G.-J., Yang, M.-L., & Chen, C.-H. (2018). Impacts of integrating the repertory grid into an augmented reality-based learning design on students’ learning achievements, cognitive load and degree of satisfaction. Interactive Learning Environments, 26(2), 221–234. https://doi.org/10.1080/10494820.2017.1294608
Zeileis, A. (2004). Econometric Computing with HC and HAC Covariance Matrix Estimators. Journal of Statistical Software, 11(10), 1–17. https://doi.org/10.18637/jss.v011.i10
Zhu, Y., & Li, N. (2021). Virtual and augmented reality technologies for emergency management in the built environments: A state-of-the-art review. Journal of Safety Science and Resilience, 2(1), 1–10. https://doi.org/10.1016/j.jnlssr.2020.11.004
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