Real-Time Behavior Change Algorithms with Susan Murphy

In this thought-provoking episode of the Behavioral Design Podcast, hosts Aline and Samuel explore the cutting edge of AI in behavioral science with Professor Susan Murphy, a world-renowned expert in statistics and behavioral research.

The conversation dives into Susan's groundbreaking work on micro-randomized trials and just-in-time adaptive interventions (JITAI) to create personalized, real-time behavior change algorithms. Together, they explore the role of reinforcement learning in adapting interventions over time, tackling ethical challenges, and sustaining user engagement in a rapidly evolving world.

This episode also includes a fun "To AI or Not to AI" quickfire round and Susan’s reflections on the "frontier" nature of behavioral science today, making this a must-listen for anyone passionate about technology, psychology, and innovation.

LINKS:

⁠Susan Murphy's Faculty Page⁠

TIMESTAMPS

01:00 – AI Voice Assistants in Everyday Life

07:22 – Introduction to Susan Murphy

08:06 – Micro-Randomized Trials Explained

11:08 – Just-in-Time Adaptive Interventions (JITAI)

27:19 – Reinforcement Learning and Behavioral Science

35:15 – Adaptive Algorithms for Personalized Support

40:30 – Micro-Randomization and Personalized Interventions

45:19 – Maintaining Engagement in Digital Interventions

49:51 – The Frontier Nature of Behavioral Science

51:39 – Quickfire Round: To AI or Not to AI

57:13 – Ethical Considerations in AI and Behavioral Science

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