Alexander Sutherland
Papers
6
Total Citations
57
H-Index
3
About
Alexander Sutherland is a researcher whose work spans human-robot interaction (HRI), affective computing, and robot cognition, with a particular focus on making robots more socially intelligent and emotionally aware. His most impactful contribution, "WoZ4U" (2021, 38 citations), introduced an open-source Wizard-of-Oz interface that has become a valuable tool for the HRI community, enabling researchers worldwide to conduct experiments more efficiently without building custom solutions from scratch. This work alone signals his commitment to lowering barriers to rigorous HRI research. Sutherland has also made notable contributions to affective robotics, exploring how robots can recognize, interpret, and authentically express emotions during human interactions. His work on disambiguating affective stimulus associations (2018) and investigating the ethics of robots misrepresenting internal states (2020) reflects a nuanced understanding of the social and moral dimensions of robot behavior. Earlier work on robot balance (2002) and shallow semantic parsing for command interpretation (2015) demonstrates a broad technical foundation. His research on affective companion robots for elderly users further highlights a commitment to applying these capabilities in meaningful real-world contexts, making robotics both more human-centered and socially responsible.
Research Focus
Key Achievements
Top Papers
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- 3The Impact of Affective Verbal Expressions in Social Robots4 citations · 2020
- 4An Experimental Platform for Researching Robot Balance3 citations · 2002
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