Emily Hofstetter

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About

Emily Hofstetter is a leading voice in the study of human-robot interaction, with a particular focus on the micro-level mechanics of communication and collaboration. Her research, grounded in ethnomethodology and conversation analysis, explores how people make sense of robotic agents in real-world settings. One of her most impactful contributions is her work on managing delays in joint action, as demonstrated in her highly cited 2022 study. Drawing on video recordings of a Cozmo robot in family homes, Hofstetter reveals how humans interpret and accommodate a robot’s inability to respond immediately, offering critical insights for designing more intuitive and socially aware robotic systems. This work, which has garnered 31 citations, exemplifies her broader interest in the sequential organization of interaction and the practical challenges of human-machine coordination. Hofstetter’s research is not only technically rigorous but also deeply human-centered, shedding light on the subtle, often overlooked ways we negotiate agency, timing, and understanding with non-human partners. Her findings are essential reading for anyone interested in the future of collaborative robotics, human-computer interaction, or the sociology of technology.