Mental Health Promotion and Prevention of Adolescent Depression through a Chatbot
Keywords:
mental health promotion, prevention, Major Depressive Disorder, chatbotAbstract
Mental health is an important factor associating with all individuals, especially adolescence. Teenagers not only have to manipulate with their different feelings but also expectations from families and relationship problems. Social media has a big role on each day of teenagers. For instance, its capability of preventing or reducing the risk of mental health problems. The purpose of this research was to analyze the experiences of teenagers regarding the promotion of mental health and prevention of Major Depressive Disorder and to design a chatbot for improving mental health and averting depression of adolescents, as adolescents nowadays access to technology more than in the past. The applications of information technology influence their communication as well, since it allows them to communicate with others more than their face-to-face routine. Basing on these behavioral changes due to technological advancements, chatbot was selected as an approach for accessing teenagers’ lives. This study is a User Experience and Design Research with 2 main phases involved: the Teenager Experience Analysis phase and the Design Thinking phase. During the Teenager Experience Analysis phase, a documentary was viewed by 20 teenagers consisting of 10 from the lower secondary level and the other 10 from the upper secondary level. During the Design Thinking phase, the prototypic chatbot was developed in line with the given context. Data collection methods are designed and evaluated in terms of appropriateness by professionals in Mental Health, Health Promotion, Development of Learning in Teenagers, Design Research, and Computer Science field. After data is collected from 40 adolescents and analyzed, the result reveals that the trend of teenagers receiving mental health counseling services is higher. Teenagers demand to talk and be advised through digital media. The teenagers engaged in health counseling services spend their time between 2 to 6 hours per day on the LINE Application. Since teenagers expect chatbot to be their emotional support and respond advices immediately, chatbot is designed to serve their needs. For the developed chatbot which is based on the LINE Application is well suited for mental health promotion and effectively prevents Major Depressive Disorder in adolescents as well.
References
Wongwanich, S. (2020), Design Research in Education, Bangkok: Chulalongkorn University Press.
Cao et al. (n.d.), Moderating effect of people-oriented public health services on depression among socially isolated people during COVID-19: A cross-sectional study in China, Research Square [online], retrieved from https://www.researchsquare.com/article/rs-35769/v1
Eastwood, J. et al. (2018), “Being Alone and Expectations Lost”, A Realist Theory of Neighborhood Context, Stress, Depression, and the Developmental Origins of Health and Disease, SAGE [online], retrieved from https://journals.sagepub.com/doi/10.1177/2158244018763004
Fusar-Poli, P. et al. (2019), European College of Neuropsychopharmacology Network on the Prevention of Mental Disorders and Mental Health Promotion (ECNP PMD-MHP), ELSEVIER [online], retrieved from https://www.journals.elsevier.com/european-neuropsychopharmacology
Jenkins, B. et al. (2018), Assessing the Impacts and Outcomes of Youth-driven Mental Health Promotion: A Mixed-methods Assessment of the Social Networking Action for Resilience Study, ELSEVIER [online], retrieved from https://www.journals.elsevier.com/journal-of-adolescence
Linder, C. (2020), The Effects of a Healthcare Chatbots' Language and Persona on UserTrust, Satisfaction, and Chatbot Effectiveness, TigerPrints [online], retrieved from https://tigerprints.clemson.edu/all_theses/3299/?utm_source=tigerprints.clemson.edu%2Fall_theses%2F3299&utm_medium=PDF&utm_campaign=PDFCoverPages
Mahon, N. and Yakcheski, A. (2007), Relations of Low Frustration Tolerance Beliefs with Stress, Depression, and Anxiety in Young Adolescents, Psychological Reports [online], retrieved from https://pubmed.ncbi.nlm.nih.gov/17451010/
Ma, Y. et al. (2018), The Role of High Parental Expectations in Adolescents’ Academic Performance and Depression in Hong Kong, Journal of Family Issues [online], retrieved from https://journals.sagepub.com/doi/10.1177/0192513X18755194
McCarthy, A. et al. (2018), School-Related Outcomes: From a Randomized Controlled Trial of Adolescent Depression Prevention Programs, Journal of Emotional and Behavioral Disorders [online], retrieved from https://journals.sagepub.com/doi/10.1177/1010539519867796
Ophir, Y. et al. (2019), New-Media Screen Time Is Not (Necessarily) Linked to Depression: Comments on Twenge, Joiner, Rogers, and Martin (2018), Clinical Psychological Science [online], retrieved from https://journals.sagepub.com/doi/10.1177/2167702619849412
Parker, G. and Roy, K. (2001), Adolescent depression: a review, Australian and New Zealand Journal of Psychiatry [online], retrieved from https://journals.sagepub.com/doi/abs/10.1080/0004867010060504
Razak, M. et al. (2019), Being Bullied Is Associated with Depression Among Malaysian Adolescents: Findings from a Cross-Sectional Study in Malaysia, Asia Pacific Journal of Public Health [online], retrieved from https://journals.sagepub.com/doi/10.1177/0706743719828977
Robles, T. et al. (n.d.), Out of Balance A New Look at Chronic Stress, Depression, and Immunity, Current Directions in Psychological Science [online], retrieved from https://journals.sagepub.com/doi/abs/10.1111/j.0963-7214.2005.00345.x
Rohde, P. et al. (2013), Key Characteristics of Major Depressive Disorder Occurring in Childhood, Adolescence, Emerging Adulthood, and Adulthood, Clinical Psychological Science [online], retrieved from https://journals.sagepub.com/doi/10.1177/2158244018763004
Schork, S. and Kirchner, E. (2018), Defining Requirements in Prototyping: The Holistic Prototype and Process Development, NordDesign [online], retrieved from https://www.designsociety.org/publication/40953/Defining+Requirements+in+Prototyping%3A+The+Holistic+Prototype+and+Process+Development
Stirling, K. et al. (2015), Community Factors Influencing Child and Adolescent Depression: A Systematic Review and Meta-analysis, Australian and New Zealand Journal of Psychiatry [online], retrieved from https://journals.sagepub.com/doi/10.1177/0004867415603129
Teesson, M. et al. (2020), Combined Prevention for Substance Use, Depression, and Anxiety in Adolescence: A Cluster-randomized Controlled Trial of Digital Online Intervention, Lancet Digital Health [online], retrieved from https://linkinghub.elsevier.com/retrieve/pii/S2589750019302134
Vaidyam, A. et al. (2019), Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape, The Canadian Journal of Psychiatry [online], retrieved from https://journals.sagepub.com/doi/10.1177/0706743719828977
Wang, J. et al. (2016), Parenting Behaviors, Adolescent Depressive Symptoms, and Problem Behavior: The Role of Self-Esteem and School Adjustment Difficulties Among Chinese Adolescents, Journal of Family Issues [online], retrieved from https://journals.sagepub.com/doi/10.1177/0192513X14542433
White, H. et al. (2010), Effects of Institutional Confinement for Delinquency on Levels of Depression and Anxiety Among Male Adolescents, Youth Violence, and Juvenile Justice [online], retrieved from https://journals.sagepub.com/doi/10.1177/1063426617717739

