An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study
Wysa's earliest published clinical evaluation, a mixed-methods study of real-world usage data assessing the empathy-driven conversational AI agent's role in digital mental wellbeing, conducted with Cambridge-affiliated researchers.
Key Findings
- Real-world usage data evaluation (not a controlled trial) of Wysa's empathy-driven conversational design
- Establishes an early evidence base for a conversational-AI mental-wellbeing tool that later became one of the most widely cited and deployed digital mental-health chatbots globally
- One of the earliest published clinical evaluations of a conversational mental-health AI product still active and widely used today
Methodology Notes
Mixed-methods, real-world usage data evaluation (not a randomized controlled trial) conducted with Cambridge-affiliated academic researchers alongside Wysa's own team.
Sources
JMIR mHealth and uHealth (primary)
Archived snapshot (Wayback Machine) — preserved against link rot
Authors
Becky Inkster, Shubhankar Sarda, Vinod Subramanian
Tags
Cite This
APA
Becky Inkster, Shubhankar Sarda, Vinod Subramanian (2018). An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study. JMIR mHealth and uHealth. https://mhealth.jmir.org/2018/11/e12106/
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