Apps, Avatars, and Robots: The Future of Mental Healthcare

References

• Andersson, G., & Titov, N. (2014). Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry, 13(1), 4–11.
   PubMed Web of Science ®Google Scholar
• Batra, S., Baker, R., Wang, T., Forma, F., DiBiasi, F., & Peters-Strickland, T. (2017). Digital health technology for use in patients with serious mental illness: A systematic review of the literature. Medical Devices: Evidence and Research, 10, 237–251.
   Web of Science ®Google Scholar
• Bell, K. (2014). App store pulls―Barbie plastic-surgery app following backlash. Retrieved from http://mashable.com/2014/01/14/barbie-plastic-surgery-app/
   Google Scholar
• Bickmore, T., Puskar, K., Schlenk, E., Pfeifer, L. M., & Sereika, S. (2010). Maintaining reality: Relational agents for antipsychotic medication adherence. Interacting with Computers, 22(4), 276–288.
   Web of Science ®Google Scholar
• Devlin, A., & Lake, E. (2018). Robot romps: what is a robot sex doll, is there a sex robot brothel in Paris and how much do they cost? The Sun. Retrieved from https://www.thesun.co.uk/tech/2084051/robot-sex-doll-sex-brothel-paris-cost-south-london/
   Google Scholar
• Fitzpatrick, K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational Agent (Woebot): A randomized controlled trial. JMIR Mental Health, 4(2), e19.
   PubMed Web of Science ®Google Scholar
• Fox, S., & Duggan, M. (2013). Tracking for health: Main report. Washington, DC: Pew Research Center. Retrieved from http://www.pewinternet.org/2013/01/28/main‐report‐8/
   Google Scholar
• Fullagar, S., Rich, E., Francombe-Webb, J., & Maturo, A. (2017). Digital ecologies of youth mental health: Apps, therapeutic publics and pedagogy as affective arrangements. Social Sciences, 6(4), 135–149.
   Google Scholar
• Hilty, D. M., Chan, S., Hwang, T., Wong, A., & Bauer, A. (2017). Advances in mobile mental health: Opportunities and implications for the spectrum of e-mental health services. mHealth, 3, 34.
   PubMedGoogle Scholar
• Hoaggie Sammich (2012). User quote on sim coach YouTube video. Retrieved from https://www.youtube.com/watch?v=PGYUqTvE6Jo
   Google Scholar
• Kelley, C., Lee, B., & Wilcox, L. (2017). Self-tracking for mental wellness: Understanding expert perspectives and student experiences (pp. 629–641). In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. New York, NY, USA.
   Google Scholar
• Kenney, M., & Milling, L. (2016). The effectiveness of virtual reality distraction for reducing pain: A meta-analysis. Psychology of Consciousness: Theory, Research, and Practice, 3(3), 199–210.
   Google Scholar
• Levy, D. (2008). Love and sex with robots: The evolution of human-robot relationships. London: Duckworth Overlook.
   Google Scholar
• Lupton, D. (2012). M-Health and health promotion: The digital cyborg and surveillance society. Social Theory & Health, 10(3), 229–244.
   Web of Science ®Google Scholar
• Luxton, D. (2014b). Artificial intelligence in psychological practice: Current and future applications and implications. Professional Psychology: Research and Practice, 45(5), 332–339.
   Web of Science ®Google Scholar
• Luxton, D. (2014a). Recommendations for the ethical use and design of artificial intelligent care providers. Artificial Intelligence in Medicine, 62(1), 1–10.
   PubMed Web of Science ®Google Scholar
• Luxton, D. (2016). An introduction to artificial intelligence in behavioural and mental health care. In D. Luxton (Ed.). Artificial intelligence in behavioral and mental health care (pp. 1–26). Amsterdam: Elsevier.
   Google Scholar
• Luxton, D., Leigh, S., & Anderson, M. (2016). Ethical issues and artificial intelligence technologies in behavioral and mental health care. In D. Luxton (Ed.). Artificial intelligence in behavioral and mental health care (pp. 255–276). Amsterdam: Elsevier.
   Google Scholar
• Ly, K., Ly, A., & Andersson, G. (2017). A fully automated conversational agent for promoting mental well-being: a pilot RCT using mixed methods. Internet Interventions, 10, 39–46.
   PubMedGoogle Scholar
• Merizzi, A. (2018). Virtual Dementia Tour®: Limitations and ethics. Quality in Ageing and Older Adults, 19(2), 146–155.
   Web of Science ®Google Scholar
• Morris, R. R., Kouddous, K., Kshirsagar, R., & Schueller, S. M. (2018). Towards an artificially empathic conversational agent for mental health applications: system design and user perceptions. Journal of Medical Internet Research, 20(6), e10148.
   PubMed Web of Science ®Google Scholar
• Pino, M., Boulay, M., Jouen, F., & Rigaud, A. (2015). Are we ready for robots that care for us? Attitudes and opinions of older adults toward socially assistive robots. Frontiers in Aging Neuroscience, 7, 141.
   PubMed Web of Science ®Google Scholar
• Rabbit, S., Kazdin, A., & Scassellati, B. (2015). Integrating socially assistive robotics into mental healthcare interventions: Applications and recommendations for expanded use. Clinical Psychology Reviews, 35, 35–46.
   PubMed Web of Science ®Google Scholar
• Rich, E. (2017). Childhood, surveillance and mHealth technologies. In E., Taylor, T. & Rooney (Eds.), Surveillance futures: Social and ethical implications of new technologies for children and young people (pp. 132–145). Abingdon: Routledge.
   Google Scholar
• Rich, E., & Miah, A. (2014). Understanding digital health as public pedagogy: A critical framework. Societies, 4(2), 296395.
   Google Scholar
• Riek, L. (2016). Robotics technology in mental health care. In D. Luxton (Ed.), Artificial intelligence in behavioral health and mental health care (pp. 185–203). Amsterdam: Elsevier.
   Google Scholar
• Riley, W., Rivera, D., Atienza, A., Nilsen, W., Allison, S., & Mermelstein, R. (2011). Health behavior models in the age of mobile interventions: Are our theories up to the task? Translational Behavioral Medicine, 1(1), 53–71.
   PubMed Web of Science ®Google Scholar
• Rizzo, A., Forbell, E., Lange, B., Buckater, J., Williams, J., Sagae, K., & Traum, D. (2013). SimCoach: An online intelligent virtual human agent system for breaking down barriers to care for service members and veterans. In R. Scurfield & K. Platoni (Eds.), Healing war trauma: A handbook of creative approaches (pp. 238–249). New York, NY: Routledge.
   Google Scholar
• Rizzo, A., Shilling, R., Forbell, E., Scherer, S., Gratch, J., & Morency, L. (2016). Autonomous virtual human agents for healthcare information support and clinical interviewing. In D. Luxton (Ed.), Artificial intelligence in behavioral health and mental health care (pp. 53–79). Amsterdam: Elsevier.
   Google Scholar
• Robinson, H., MacDonald, B., & Broadbent, E. (2015). Physiological effects of a companion robot on blood pressure of older people in residential care facility: A pilot study. Australasian Journal on Ageing, 34(1), 27–32.
   PubMed Web of Science ®Google Scholar
• Robinson, H., MacDonald, B., Kerse, N., & Broadbent, E. (2013). The psychosocial effects of a companion robot: A randomized controlled trial. Journal of the American Medical Directors Association, 14(9), 661–667.
   PubMed Web of Science ®Google Scholar
• Schwab, K. (2016). The fourth industrial revolution. New York: Crown Business.
   Google Scholar
• Smith, K. (2013). Digital outcasts: Moving technology forward without leaving people behind. Waltham, MA: Morgan Kaufmann/Elsevier.
   Google Scholar
• Sparrow, R. (2016). Robots in aged care: A dystopian future? AI & Society, 31(4), 445–454.
   Web of Science ®Google Scholar
• Turkle, S. (2012). Alone together: Why we expect more from technology and less from each other. New York: Basic Books.
   Google Scholar
• Zwijsen, S., Niemeijer, A., & Hertogh, C. (2011). Ethics of using assistive technology in the care for community-dwelling elderly people: An overview of the literature. Journal of Ageing and Mental Health, 15(4), 419–427.
   PubMed Web of Science ®Google Scholar