Unit 9 explores the therapeutic and well-being aspects of human-AI mobile storytelling — the expanding range of applications designed to support mental health, emotional processing, grief, trauma recovery, stress management, and personal growth through AI-driven narrative experiences.
Apply narrative therapy frameworks and expressive writing research to AI mobile storytelling well-being applications
Evaluate the evidence base for AI storytelling applications in mental health and personal growth contexts
Identify ethical, clinical, and regulatory challenges specific to therapeutic AI mobile storytelling
Apply the 3D framework to critically analyze therapeutic AI storytelling design and outcome claims
Design a responsible evidence-based framework for AI mobile storytelling well-being applications
White, M., & Epston, D. (1990). Narrative means to therapeutic ends. Norton. (Chapters 1–2)
Pennebaker, J. W., & Smyth, J. M. (2016). Opening up by writing it down (3rd ed.). Guilford Press. (Chapters 1–3)
Firth, J., et al. (2017). The efficacy of smartphone-based mental health interventions. World Psychiatry, 16(3), 287–298.
Fitzpatrick, K. K., et al. (2017). Delivering cognitive behavior therapy using a fully automated conversational agent. JAMA Internal Medicine, 177(5), 632–639.
Zuboff, S. (2019). The age of surveillance capitalism. Chapter 8.
Expand each activity and click "Mark as complete" to track your progress.
600–800 word reflection: CICI documentation from Activity 9.2, 3D analysis of key evidence gap from Activity 9.1, crisis response protocol stance, and 3M framework for monitoring clinical safety at scale.