Listen to another podcast from the team at Robohub. More podcasts from them can be found here.
In this episode, Lauren Klein interviews Michal Luria, a PhD candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, about research that explores the boundaries of Human-Robot Interaction. Michal draws inspiration from the Medieval Times for her project to test how historical automata can inform modern robotics. She also discusses her work with cathartic objects to support emotional release.
Michal Luria
Michal Luria is a PhD candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, advised by Professors Jodi Forlizzi and John Zimmerman. Michal’s research centres on exploring alternative ways for humans to interact with agents and social robots. Prior to her PhD, Michal studied Interactive Communication at the Interdisciplinary Center Herzliya in Israel.
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