ABSTRACT
As the use of communication on social media among children increases, the cyberbullying phenomena is becoming a prominent challenge. We present the preliminary design of Tobe, a virtual keyboard that provides textual and visual feedback in real-time to help prevent harmful discourse on social media among elementary school-aged children. The widget is designed based on two unique principles: (1) An empathy based feedback mechanism which involves an animated character and verbal statements (both positive and negative); (2) A class specific solution in which children and the teacher build a vocabulary of words together. This element provides transparency as to why feedback was shown at any given moment, and can increase cooperation and empowerment for both the teacher and the children. We present the human centered design process and early results from a user study with 12 children. Our findings show high engagement with the system, and user awareness before texting.
Supplemental Material
- Dana AIZENKOT. 2018. Cyberbullying in WhatsApp Classroom Groups among Children and Adolescents: Exposure and Victimization. The Eurasia Proceedings of Educational and Social Sciences 10 (2018), 1–10.Google Scholar
- Richard E Boyatzis. 1998. Transforming qualitative information: Thematic analysis and code development. sage.Google Scholar
- Marilyn Campbell and Sheri Bauman. 2018. Reducing cyberbullying in schools: International evidence-based best practices. Academic Press.Google Scholar
- Wanda Cassidy, Margaret Jackson, and Karen N Brown. 2009. Sticks and stones can break my bones, but how can pixels hurt me? Students’ experiences with cyber-bullying. School psychology international 30, 4 (2009), 383–402.Google Scholar
- Donna Cross, Leanne Lester, and Amy Barnes. 2015. A longitudinal study of the social and emotional predictors and consequences of cyber and traditional bullying victimisation. International journal of public health 60, 2 (2015), 207–217.Google ScholarCross Ref
- Francine Dehue. 2013. Cyberbullying research: New perspectives and alternative methodologies. Introduction to the special issue. Journal of Community & Applied Social Psychology 23, 1(2013), 1–6.Google ScholarCross Ref
- Karthik Dinakar, Birago Jones, Catherine Havasi, Henry Lieberman, and Rosalind Picard. 2012. Common sense reasoning for detection, prevention, and mitigation of cyberbullying. ACM Transactions on Interactive Intelligent Systems (TiiS) 2, 3(2012), 1–30.Google ScholarDigital Library
- Jennifer Fereday and Eimear Muir-Cochrane. 2006. Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International journal of qualitative methods 5, 1 (2006), 80–92.Google ScholarCross Ref
- Arup Kumar Ghosh, Karla Badillo-Urquiola, Shion Guha, Joseph J LaViola Jr, and Pamela J Wisniewski. 2018. Safety vs. surveillance: what children have to say about mobile apps for parental control. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–14.Google ScholarDigital Library
- G Gibbs. 2008. Analysing qualitative data (Qualitative research kit). Retrieved from (2008).Google Scholar
- Michele P Hamm, Amanda S Newton, Annabritt Chisholm, Jocelyn Shulhan, Andrea Milne, Purnima Sundar, Heather Ennis, Shannon D Scott, and Lisa Hartling. 2015. Prevalence and effect of cyberbullying on children and young people: A scoping review of social media studies. JAMA pediatrics 169, 8 (2015), 770–777.Google ScholarCross Ref
- Elizabeth Hutson, Stephanie Kelly, and Lisa K Militello. 2018. Systematic review of cyberbullying interventions for youth and parents with implications for evidence-based practice. Worldviews on evidence-based nursing 15, 1 (2018), 72–79.Google Scholar
- Robin M Kowalski, Gary W Giumetti, Amber N Schroeder, and Micah R Lattanner. 2014. Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth.Psychological bulletin 140, 4 (2014), 1073.Google Scholar
- Stephen A Maisto, Kate B Carey, and Clara M Bradizza. 1999. Social learning theory.(1999).Google Scholar
- Gilberto Marzano. 2020. Topical issues on cyberbullying prevention. International Journal of Interactive Communication Systems and Technologies (IJICST) 10, 1 (2020), 31–50.Google ScholarCross Ref
- Faye Mishna, Charlene Cook, Tahany Gadalla, Joanne Daciuk, and Steven Solomon. 2010. Cyber bullying behaviors among middle and high school students. American journal of orthopsychiatry 80, 3 (2010), 362–374.Google Scholar
- Dan Olweus. 2012. Cyberbullying: An overrated phenomenon?European journal of developmental psychology 9, 5 (2012), 520–538.Google Scholar
- Sonja Perren, Julian Dooley, Thérèse Shaw, and Donna Cross. 2010. Bullying in school and cyberspace: Associations with depressive symptoms in Swiss and Australian adolescents. Child and adolescent psychiatry and mental health 4, 1 (2010), 1–10.Google Scholar
- Semiu Salawu, Yulan He, and Jo Lumsden. 2020. BullStop: A Mobile App for Cyberbullying Prevention. In Proceedings of the 28th International Conference on Computational Linguistics: System Demonstrations. 70–74.Google Scholar
- Yasin N Silva, Christopher Rich, Jaime Chon, and Lisa M Tsosie. 2016. BullyBlocker: An app to identify cyberbullying in facebook. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 1401–1405.Google ScholarCross Ref
- Robert Slonje, Peter K Smith, and Ann Frisén. 2013. The nature of cyberbullying, and strategies for prevention. Computers in human behavior 29, 1 (2013), 26–32.Google Scholar
- Peter K Smith, Jess Mahdavi, Manuel Carvalho, and Neil Tippett. 2006. An investigation into cyberbullying, its forms, awareness and impact, and the relationship between age and gender in cyberbullying. Research Brief No. RBX03-06. London: DfES(2006).Google Scholar
- Robert S Tokunaga. 2010. Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in human behavior 26, 3 (2010), 277–287.Google Scholar
- J Wollack and K Mitchell. 2000. Youth internet safety survey. University of New Hampshire, Crimes against Children Research Center. Retrieved July 20(2000), 2004.Google Scholar
- Qian Zhang and Yi Cao. 2021. Prosocial Cartoons Exposure and Aggressive Behavior in Aggressive Boys: The Potential Mediating Role of Empathy. (2021).Google Scholar
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