Papers
50
Total Citations
1,538
H-Index
22
About
Emmanuel Senft is a prominent researcher at the intersection of human-robot interaction (HRI), social robotics, and assistive technology, whose work has shaped how robots engage meaningfully with vulnerable populations. His most influential contributions focus on deploying robots in real-world therapeutic and educational contexts, particularly with children with Autism Spectrum Disorder (ASD) and language learners. His 2017 papers on supervised autonomous systems for robot-enhanced therapy (138 citations) and child speech recognition in HRI (158 citations) addressed critical technical barriers to deploying robots in clinical settings. Senft has also advanced the theoretical foundations of HRI, contributing influential methodological critiques (131 citations) and explorations of social psychology's role in the field (80 citations). His 2019 work on teaching robots social autonomy through human guidance (51 citations) reflects a recurring theme in his research: finding ethical, practical balances between machine autonomy and human oversight. More recently, Senft has extended his work to cardiac rehabilitation robotics and participatory design with older adults, demonstrating a commitment to inclusive, human-centered design across the lifespan. With over 800 combined citations, his research has meaningfully advanced both the science and practice of socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Child Speech Recognition in Human-Robot Interaction158 citations · 2017
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- 3Social robot tutoring for child second language learning136 citations · 2016
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- 6Social Psychology and Human-Robot Interaction80 citations · 2018
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- 9Teaching robots social autonomy from in situ human guidance51 citations · 2019
- 10