Selene Goenaga
Papers
2
Total Citations
11
H-Index
2
About
Selene Goenaga is a researcher at the forefront of human-robot interaction, specializing in affective computing and socially assistive robotics. Her work centers on endowing robots with the capacity to recognize and imitate human emotions, enabling more natural and effective educational interactions. Goenaga’s most impactful contribution is her pioneering use of the NAO robot as a vocational tutor and interviewer, where she developed an intelligent system that classifies twenty distinct behaviors into five personality profiles and five basic emotions—anger, boredom, and interest among them. This work, published in 2020 and garnering 9 citations, demonstrates how robots can dynamically adapt their emotional expressions to engage users. Her earlier 2016 study further refined this approach by managing hierarchical behaviors across four personality profiles, validated through three case studies. By bridging emotional intelligence and robotics, Goenaga’s research opens new pathways for personalized tutoring and empathetic human-machine collaboration, making her a notable figure in the growing field of socially aware robotics.
Research Focus
Key Achievements
Top Papers
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