In this episode, Audrow Nash interviews Caitlyn Clabaugh, PhD Candidate at the University of Southern California, about lessons learned about putting robots in people’s homes for human-robot interaction research. Clabaugh speaks about her work to date, the expectations in human-subjects research, and gives general advice for PhD students.
Caitlyn Clabaugh is a PhD student in Computer Science at the University of Southern California, co-advised by Prof. Maja J Matarić and Prof. Fei Sha, and supported by a graduate research assistantship in the Interaction Lab. She received my B.A. in Computer Science from Bryn Mawr College in May 2013. Her primary research interest is the application of machine learning and statistical methods to support long-term adaptation and personalization in socially assistive robot tutors, specifically for young children and early childhood STEM.