Saul Greenberg
Papers
11
Total Citations
145
H-Index
5
About
Saul Greenberg is a pioneering researcher in human-robot interaction (HRI), with a focus on designing socially intelligent robots that can seamlessly integrate into human environments. His work centers on developing robots that understand and respond to human social cues, particularly in areas like greetings, proxemics, and interruption behaviors. Greenberg's major contributions include operationalizing social science theories—such as Kendon's greetings model and Hall's proxemics theory—into functional robotic behaviors, as demonstrated in his highly cited paper "Designing social greetings in human robot interaction" (54 citations). He has also explored innovative applications, such as using bio-electrical signals to influence robot behaviors (30 citations) and developing empathetic robot companions for pediatric healthcare, as seen in his work on "Medi." His research on minimal nonverbal interruption in HRI (29 citations) has been foundational in understanding how robots can initiate interactions without causing social discomfort. Beyond HRI, Greenberg has contributed to smart home interfaces and shape-shifting displays, showcasing his versatility. With over 140 total citations across his top papers, his work has significantly shaped how robots are designed to be socially aware and effective in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Designing social greetings in human robot interaction54 citations · 2014
- 2
- 3Exploring minimal nonverbal interruption in HRI29 citations · 2011
- 4Medi, human robot interaction in pediatric health9 citations · 2014
- 5Exploring interruption in HRI using wizard of oz5 citations · 2012
- 6HomeWindow4 citations · 2009
- 7Situated messages for asynchronous human-robot interaction3 citations · 2009
- 8Exploring Minimal Nonverbal Interruption in Social HRI3 citations · 2010
- 9
- 10Designing Social Greetings and Proxemics in Human Robot Interaction3 citations · 2013