Papers
7
Total Citations
210
H-Index
6
About
Hanan Salam is a prominent researcher specializing in human-robot interaction (HRI), affective computing, and socially assistive robotics, with a particular focus on engagement modeling and personalized AI systems. Her work has significantly advanced the field of intelligent social robots capable of adapting to individual users' behavioral and personality profiles. Salam's most influential contribution, "Fully Automatic Analysis of Engagement and Its Relationship to Personality in Human-Robot Interactions" (2016, 109 citations), established a foundational framework for automatically classifying engagement in triadic human-human-robot settings, linking personality traits to interaction dynamics. Building on this, her context-driven engagement models and multi-party cue detection systems further refined how robots perceive and respond to human behavior in complex social scenarios. More recently, Salam has expanded her research into educational and assistive applications, exploring how social robots enhanced by large language models can foster creativity in children and support college students with ADHD. Her survey on personalized affective computing reflects a broader commitment to moving beyond universal models toward tailored, individual-centered AI systems. Across her career, Salam's work bridges machine learning, psychology, and robotics, making meaningful contributions to designing robots that are not merely functional, but genuinely responsive to the humans they serve.
Research Focus
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Top Papers
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- 4Engagement detection based on mutli-party cues for human robot interaction20 citations · 2015
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