25 min

S3E16 Building a Journaling Bot with Academics Daniel Lametti and Joanna Kuc Invisible Machines podcast by UX Magazine

    • Technology

Daniel Lametti and Joanna Kuc join Robb and Josh to share the advanced chatbot they created for a research project in mental health. Dan Lametti is an Associate Professor of Cognitive Psychology at Acadia University in Nova Scotia, Canada. Dan taught and conducted research in experimental psychology at the University of Oxford, and is also the Director of Academic Fellowships at OneReach.ai. Joanna is a Data Scientist at Compass Pathways as well as a PhD Candidate in Experimental Psychology at University College London, where her work focuses on decoding language biomarkers relating to mental health. Using the OneReach.ai platform, Daniel and Joanna created a conversational app in Telegram that collects journal entries from participants as either written text or voice notes, and generates weekly summaries. Learn more about this unique design process and some of their findings in an engaging and practical episode of Invisible Machines.

Daniel Lametti and Joanna Kuc join Robb and Josh to share the advanced chatbot they created for a research project in mental health. Dan Lametti is an Associate Professor of Cognitive Psychology at Acadia University in Nova Scotia, Canada. Dan taught and conducted research in experimental psychology at the University of Oxford, and is also the Director of Academic Fellowships at OneReach.ai. Joanna is a Data Scientist at Compass Pathways as well as a PhD Candidate in Experimental Psychology at University College London, where her work focuses on decoding language biomarkers relating to mental health. Using the OneReach.ai platform, Daniel and Joanna created a conversational app in Telegram that collects journal entries from participants as either written text or voice notes, and generates weekly summaries. Learn more about this unique design process and some of their findings in an engaging and practical episode of Invisible Machines.

25 min

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