Stanford CS547 HCI Seminar | Spring 2026 | Promoting Agency in Human-AI Interaction
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
May 29, 2026
This lecture covers:
• LLM-based physical activity coaching
• How LLMs can elicit and reason about qualitative context to provide non-prescriptive and agency-promoting support
• A reinforcement learning algorithm to enable LLM agents to explicitly reason about uncertainty in a user's goals
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Matthew Jörke is a PhD candidate in Computer Science at Stanford, co-advised by James Landay and Emma Brunskill.
May 29, 2026
This lecture covers:
• LLM-based physical activity coaching
• How LLMs can elicit and reason about qualitative context to provide non-prescriptive and agency-promoting support
• A reinforcement learning algorithm to enable LLM agents to explicitly reason about uncertainty in a user's goals
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Matthew Jörke is a PhD candidate in Computer Science at Stanford, co-advised by James Landay and Emma Brunskill.
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