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:
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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The song used is Murgatroyd by David Pizarro
