skip to main content
10.1145/3511047.3536406acmconferencesArticle/Chapter ViewAbstractPublication PagesumapConference Proceedingsconference-collections
extended-abstract

Optimizing the User Experience in VR-based Anti-Bullying Education

Published:04 July 2022Publication History

ABSTRACT

This paper explores the issues of optimizing the user experience in a complex, VR-based anti-bullying educational environment. The prototype software is aimed at training early school aged children and uses natural language processing (NLP) to create a more immersive and realistic educational user experience for different gender and age groups.

Skip Supplemental Material Section

Supplemental Material

Bully - An Anti-Bullying VR Training Environment.mp4

mp4

538.7 MB

Bully - An Anti-Bullying VR Training Environment.mp4

mp4

538.7 MB

Bully - An Anti-Bullying VR Training Environment.mp4

mp4

538.7 MB

References

  1. Acapela-Box: https://acapela-box.com/AcaBox/index.phpGoogle ScholarGoogle Scholar
  2. Barreda-Ángeles M, Serra-Blasco M., Trepat E., Pereda-Baños A., Pàmias M., Palao D., Goldberg X., Cardoner N., 2021, Development and experimental validation of a dataset of 360°-videos for facilitating school-based bullying prevention programs, Computers & Education, Volume 161, 104065, ISSN 0360-1315Google ScholarGoogle ScholarCross RefCross Ref
  3. Bijttebier, P., Vertommen, H. 2017. Coping with Peer Arguments in School-Age Children with Bully-Victim Problems. In British Journal of Educational Psychology 68 (1998): 387. ProQuest.Google ScholarGoogle Scholar
  4. BRIM Anti-Bullying Software: https://antibullyingsoftware.com/Google ScholarGoogle Scholar
  5. ClassVR: https://www.classvr.com/anti-bullying-in-virtual-reality/Google ScholarGoogle Scholar
  6. Cornell, D., & Limber, S. P. (2015). Law and policy on the concept of bullying at school. American Psychologist, 70, 333. doi: /10.1037/a0038558 Google ScholarGoogle ScholarCross RefCross Ref
  7. Cornell, D., & Mehta, S. B. (2011). Counselor confirmation of middle school student self-reports of bullying victimization. Professional School Counseling, 14(4), 2156759X1101400402.Google ScholarGoogle Scholar
  8. Eslea M., Smith P. 1998. The long-term effectiveness of anti-bullying work in primary schools, Educational Research, 40 (2), pp. 203-218, 10.1080/0013188980400208Google ScholarGoogle Scholar
  9. Gaffney H., Farrington D., Ttofi M. 2019. Examining the effectiveness of school-bullying intervention programs globally: A meta-analysis, International Journal of Bullying Prevention, 1 (1), pp. 14-31, 10.1007/s42380-019-0007-4Google ScholarGoogle Scholar
  10. Gaffney H., Ttofi M., Farrington D. 2019. Evaluating the effectiveness of school-bullying prevention programs: An updated meta-analytical review, Aggression and Violent Behavior, 45, pp. 111-133, 10.1016/j.avb.2018.07.001Google ScholarGoogle Scholar
  11. Gladden, R. M., Vivolo-Kantor, A. M., Hamburger, M. E., & Lumpkin, C. D. (2014). Bullying surveillance among youths: Uniform definitions for public health and recommended data elements, version 1.0.Google ScholarGoogle Scholar
  12. Griffin, R. S., & Gross, A. M. (2004). Childhood bullying: Current empirical findings and future directions for research. Aggression and violent behavior, 9, 379-400. doi:10.1016/S1359-1789(03)00033-8Google ScholarGoogle Scholar
  13. GoSpeakUp: https://www.gospeakup.com/pri_sec/Google ScholarGoogle Scholar
  14. Hasler, B. S.; Spanlang, B.; Slater, M., 2017, “Virtual race transformation reverses racial in-group bias”. PLOS ONE, 12(4), April 2017. Doi: https://doi.org/10.1371/journal.pone.0174965Google ScholarGoogle Scholar
  15. HIBster: https://edsforschools.com/solutions/hibster/Google ScholarGoogle Scholar
  16. Ingram K., Espelage D., Merrin G., Valido A., Heinhorst J., Joyce M., 2019, Evaluation of a virtual reality enhanced bullying prevention curriculum pilot trial, Journal of Adolescence, 71, pp. 72-83, 10.1016/j.adolescence.2018.12.006Google ScholarGoogle Scholar
  17. Ivanov L., Ramos N., 2020, “Bully”: A Virtual Reality Environment for Anti-Bullying Education, Proceedings of FLAIRS-33 Conference, Miami Beach, FLGoogle ScholarGoogle Scholar
  18. MakeHuman Project: http://www.makehumancommunity.orgGoogle ScholarGoogle Scholar
  19. Malecki, C. K., Demaray, M. K., Coyle, S., Geosling, R., Rueger, S. Y., & Becker, L. D. (2015, February). Frequency, power differential, and intentionality and the relationship to anxiety, depression, and self-esteem for victims of bullying. Child & Youth Care Forum 44, 115-131). doi:10.1007/s10566-014-9273-y Google ScholarGoogle ScholarCross RefCross Ref
  20. Mikolov, T., Chen, K., Corrado, G., and Dean, J. 2013a. Efficient estimation of word representations in vector space. ICLR.https: //arxiv.org/abs/1301.3781.Google ScholarGoogle Scholar
  21. Mikolov, T., Sutskever, I., Chen, K., Corrado, G., and Dean, J. 2013b. Distributed representations of words and phrases and their compositionality. NIPS 3111–3119.Google ScholarGoogle Scholar
  22. Mikolov, T., Yih, W.-T., and Zweig, G., 2013c. Linguistic regularities in continuous space word representations. HLT-NAACL 13: 746–751.Google ScholarGoogle Scholar
  23. NaturalReader:https://www.naturalreaders.comGoogle ScholarGoogle Scholar
  24. OculusRift:https://www.oculus.com/rift/Google ScholarGoogle Scholar
  25. Olweus, D. 1997. Bully/Victim Problems in School: Facts and Intervention. European J. of Psychology of Education 12.4: 495-510.Google ScholarGoogle Scholar
  26. Olweus D., Limber S., 2010, Bullying in school: Evaluation and dissemination of the Olweus bullying prevention program, American Journal of Orthopsychiatry, 80 (1), pp. 124-134, 10.1111/j.1939-0025.2010.01015.xGoogle ScholarGoogle Scholar
  27. Polanin, J., Espelage D., T.D. Pigott, A meta-analysis of school-based bullying prevention programs' effects on bystander intervention behavior, School Psychology Review, 41 (1) (2012), pp. 47-65, 10.1080/02796015.2012.12087375Google ScholarGoogle Scholar
  28. Pontzer, D. 2010. A Theoretical Test of Bullying Behavior: Parenting, Personality, And the Bully/Victim Relationship." J. of Family Violence 25.3: 259-273. Health Source: Nursing/Acad. Ed.Google ScholarGoogle ScholarCross RefCross Ref
  29. Sound Bible: http://soundbible.com/Google ScholarGoogle Scholar
  30. Stavroulia, K. , 2016. A 3D virtual environment for training teachers to identify bullying. In 18th Mediterranean Electro-technical Conference (MELECON), Lemesos, Cyprus, DOI: 10.1109/MELCON.2016.7495417Google ScholarGoogle ScholarCross RefCross Ref
  31. Unity Asset Store: https://www.assetstore.unity3d.com/Google ScholarGoogle Scholar
  32. UR: Bullying in Virtual Reality: https://thefwa.com/cases/ur-bullying-in-virtual-realityGoogle ScholarGoogle Scholar
  33. Virtual Reality Action Lab: https://static1.squarespace.com/static/58595e5af5e23119f38fa37b/t/5a1d9fa9ec212d9bd36eb33b/1511890858598/HarmonyLabs_VRActionLab_Curriculum_Nov2017.pdfGoogle ScholarGoogle Scholar
  34. https://docs.microsoft.com/en-us/windows/mixed-reality/discover/mixed-realityGoogle ScholarGoogle Scholar
  35. Ybarra, M, Espelage, D., & Mitchell, K.J (2014). "Differentiating youth who are bullied from other victims of peer-aggression: The importance of differential power and repetition." Journal of Adolescent Health 55, (2014): 293-300. doi:10.1016/j.jadohealth.2014.02.009Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
    July 2022
    409 pages
    ISBN:9781450392327
    DOI:10.1145/3511047

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 4 July 2022

    Check for updates

    Qualifiers

    • extended-abstract
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate162of633submissions,26%

    Upcoming Conference

  • Article Metrics

    • Downloads (Last 12 months)34
    • Downloads (Last 6 weeks)8

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format