A Proposed Framework of Virtual Reality System Design for Neuroscience Education in Mental Health

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Distributed, Ambient and Pervasive Interactions (HCII 2024)

Abstract

[Background] Mental health problems are becoming increasingly common worldwide, yet public awareness and professional knowledge about mental health are at a low level. With the help of neuroscience research findings, people can understand mental health problems more clearly and accurately. However, neuroscience is time-costly for learners due to its professional complexity. Virtual reality (VR) technology, with the high level of visualization and strong interactivity, can provide an efficient learning environment for integrating neuroscience with mental health. [Methods] A literature review conducted using Web of Science revealed that such a VR system has not been developed. Utilizing Design Thinking Methodology, a framework of VR prototype for neuroscience education in mental health was proposed. This framework is designed to facilitate visualize and elucidate the brain mechanism and dynamic process under various mental health situations, offering interactive learning environment for learners and different users. [Conclusion] The research will facilitate the development of convenient and engaging VR tools from an interdisciplinary perspective for learners and practitioners in the field of mental health. The research suggests that utilizing VR technology is able to play an important role in addressing current societal issues in mental health.

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References

  1. Reinke, W.M., Stormont, M., Herman, K.C., Puri, R., Goel, N.: Supporting children’s mental health in schools: teacher perceptions of needs, roles, and barriers. Sch. Psychol. Q. 26, 1–13 (2011)

    Article  Google Scholar 

  2. Walter, H.J., Gouze, K., Lim, K.G.: Teachers’ beliefs about mental health needs in inner city elementary schools. J. Am. Acad. Child Adolesc. Psychiatry 45, 61–68 (2006)

    Article  Google Scholar 

  3. Lyon, A.R., Stirman, S.W., Kerns, S.E.U., Bruns, E.J.: Develo** the mental health workforce: review and application of training approaches from multiple disciplines. Adm. Policy Ment. Health 38, 238–253 (2011)

    Article  Google Scholar 

  4. Kilbourne, A.M., et al.: Measuring and improving the quality of mental health care: a global perspective. World Psychiatry 17, 30–38 (2018)

    Article  Google Scholar 

  5. Field, T.A., Beeson, E.T., Jones, L.K.: Neuroscience-informed cognitive-behavior therapy in clinical practice: a preliminary study. J. Ment. Health Couns. 38, 139–154 (2016)

    Article  Google Scholar 

  6. Brick, K., et al.: Training-of-trainers neuroscience and mental health teacher education in Liberia improves self-reported support for students. Front. Hum. Neurosci. 15 (2021)

    Google Scholar 

  7. Fung, L.K., Akil, M., Widge, A., Roberts, L.W., Etkin, A.: Attitudes toward neuroscience education in psychiatry: a national multi-stakeholder survey. Acad. Psychiatry 39, 139–146 (2015)

    Article  Google Scholar 

  8. LaValle, S.M.: Virtual Reality. Cambridge University Press, Cambridge (2023)

    Google Scholar 

  9. Fogarty, J., McCormick, J., El-Tawil, S.: Improving student understanding of complex spatial arrangements with virtual reality. J. Prof. Issues Eng. Educ. Pract. 144, 04017013 (2018)

    Article  Google Scholar 

  10. Aylward, K., Dahlman, J., Nordby, K., Lundh, M.: Using operational scenarios in a virtual reality enhanced design process. Educ. Sci. 11, 448 (2021)

    Article  Google Scholar 

  11. Runge, V.M., et al.: Magnetic resonance imaging and computed tomography of the brain—50 years of innovation, with a focus on the future. Invest. Radiol. 50(9), 551–556 (2015)

    Google Scholar 

  12. Shenton, M.E., et al.: A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury. Brain Imaging Behav. 6, 137–192 (2012)

    Google Scholar 

  13. DeCharms, R.C., Christoff, K., Glover, G.H., Pauly, J.M., Whitfield, S., Gabrieli, J.D.: Learned regulation of spatially localized brain activation using real-time fMRI. Neuroimage 21(1), 436–443 (2004)

    Article  Google Scholar 

  14. Bremner, J.D., et al.: MRI and PET study of deficits in hippocampal structure and function in women with childhood sexual abuse and posttraumatic stress disorder. Am. J. Psychiatry 160, 924–932 (2003)

    Article  Google Scholar 

  15. Disner, S.G., Beevers, C.G., Haigh, E.A.P., Beck, A.T.: Neural mechanisms of the cognitive model of depression. Nat. Rev. Neurosci. 12, 467–477 (2011)

    Article  Google Scholar 

  16. Hamilton, J.P., Gotlib, I.H.: Neural substrates of increased memory sensitivity for negative stimuli in major depression. Biol. Psychiat. 63, 1155–1162 (2008)

    Article  Google Scholar 

  17. Davidson, R.J.: Mindfulness-based cognitive therapy and the prevention of depressive relapse: measures, mechanisms, and mediators. JAMA Psychiat. 73, 547–548 (2016)

    Article  Google Scholar 

  18. Price, J.L., Drevets, W.C.: Neural circuits underlying the pathophysiology of mood disorders. Trends Cogn. Sci. 16, 61–71 (2012)

    Article  Google Scholar 

  19. Di Chiara, G., Bassareo, V.: Reward system and addiction: what dopamine does and doesn’t do. Curr. Opin. Pharmacol. 7, 69–76 (2007)

    Article  Google Scholar 

  20. Yeager, D.S., et al.: A national experiment reveals where a growth mindset improves achievement. Nature 573, 364–369 (2019)

    Article  Google Scholar 

  21. Freitas, J.R.S., et al.: Virtual reality exposure treatment in phobias: a systematic review. Psychiatr. Q. 92, 1685–1710 (2021)

    Article  Google Scholar 

  22. Segawa, T., et al.: Virtual Reality (VR) in assessment and treatment of addictive disorders: a systematic review. Front. Neurosci. 13 (2020)

    Google Scholar 

  23. Kothgassner, O.D., et al.: Virtual reality exposure therapy for posttraumatic stress disorder (PTSD): a meta-analysis. Eur. J. Psychotraumatol. 10, 1654782 (2019)

    Google Scholar 

  24. Parsons, S.: Authenticity in virtual reality for assessment and intervention in autism: a conceptual review. Educ. Res. Rev. 19, 138–157 (2016)

    Article  Google Scholar 

  25. Rus-Calafell, M., Garety, P., Sason, E., Craig, T.J.K., Valmaggia, L.R.: Virtual reality in the assessment and treatment of psychosis: a systematic review of its utility, acceptability and effectiveness. Psychol. Med. 48, 362–391 (2018)

    Article  Google Scholar 

  26. Bergsnev, K., Sánchez Laws, A.L.: Personalizing virtual reality for the research and treatment of fear-related disorders: a mini review. Front. Virtual Reality 3, 834004 (2022)

    Article  Google Scholar 

  27. Bohil, C.J., Alicea, B., Biocca, F.A.: Virtual reality in neuroscience research and therapy. Nat. Rev. Neurosci. 12, 752–762 (2011)

    Article  Google Scholar 

  28. Scott, H., et al.: Virtual reality in the neurosciences: current practice and future directions. Front. Surg. 8 (2022)

    Google Scholar 

  29. Narayan, R., Rodriguez, C., Araujo, J., Shaqlaih, A., Moss, G.: The Handbook of Educational Theories. IAP Information Age Publishing, Charlotte, North Carolina (2013)

    Google Scholar 

  30. Rosson, M.B., Carroll, J.M.: Scenario based design. In: Human‐Computer Interaction. Boca Raton, FL (2009)

    Google Scholar 

  31. Fiani, B., et al.: Virtual reality in neurosurgery: “can you see it?”–A review of the current applications and future potential. World Neurosurg. 141, 291–298 (2020)

    Article  Google Scholar 

  32. Neuwirth, L.S., Ros, M.: Comparisons between first person point-of-view 180 video virtual reality head-mounted display and 3D video computer display in teaching undergraduate neuroscience students stereotaxic surgeries. Front. Virtual Reality 2, 706653 (2021)

    Article  Google Scholar 

  33. van der Kruk, S.R., Zielinski, R., MacDougall, H., Hughes-Barton, D., Gunn, K.M.: Virtual reality as a patient education tool in healthcare: a sco** review. Patient Educ. Couns. 105(7), 1928–1942 (2022)

    Article  Google Scholar 

  34. Laskay, N.M., George, J.A., Knowlin, L., Chang, T.P., Johnston, J.M., Godzik, J.: Optimizing surgical performance using preoperative virtual reality planning: a systematic review. World J. Surg. 1–11 (2023)

    Google Scholar 

  35. Foster, M.K.: Design thinking: a creative approach to problem solving. Manag. Teach. Rev. 6, 123–140 (2021)

    Google Scholar 

  36. Scheer, A., Noweski, C., Meinel, C.: Transforming constructivist learning into action: design thinking in education. Des. Technol. Educ. 17, 8–19 (2012)

    Google Scholar 

  37. Pande, M., Bharathi, S.V.: Theoretical foundations of design thinking – a constructivism learning approach to design thinking. Think. Skills Creativity 36, 100637 (2020)

    Article  Google Scholar 

  38. Prinz, U., et al.: Comparative psychometric analyses of the SCL-90-R and its short versions in patients with affective disorders. BMC Psychiatry 13, 104 (2013)

    Article  Google Scholar 

  39. Delialioglu, O., Yildirim, Z.: Students’ perceptions on effective dimensions of interactive learning in a blended learning environment. J. Educ. Technol. Soc. 10, 133–146 (2007)

    Google Scholar 

  40. Bada, D., Olusegun, S.: Constructivism learning theory: a paradigm for teaching and learning (2015)

    Google Scholar 

  41. Vlachogianni, P., Tselios, N.: Perceived usability evaluation of educational technology using the System Usability Scale (SUS): a systematic review. J. Res. Technol. Educ. 54(3), 392–409 (2022)

    Article  Google Scholar 

  42. Schrepp, M., Hinderks, A., Thomaschewski, J.: Design and evaluation of a short version of the user experience questionnaire (UEQ-S). Int. J. Interact. Multimedia Artif. Intell. 4(6), 103–108 (2017)

    Google Scholar 

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Acknowledgments

This study was funded by Guangdong education Science planning project (number 2023GXJK668) and Guangdong Philosophy and Social Science Foundation (number GDGD23XTS01).

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Correspondence to Ning Zhang .

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**n, Y., Wang, R., Liang, Y., Lu, Q., Zhang, N. (2024). A Proposed Framework of Virtual Reality System Design for Neuroscience Education in Mental Health. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2024. Lecture Notes in Computer Science, vol 14719. Springer, Cham. https://doi.org/10.1007/978-3-031-60012-8_9

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  • DOI: https://doi.org/10.1007/978-3-031-60012-8_9

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