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About

Simon Alexanderson is a leading researcher in human-robot interaction and embodied conversational agents, specializing in the generation and analysis of non-verbal communication. His work bridges the gap between verbal and non-verbal modalities, enabling artificial agents—from robots to virtual characters—to communicate more naturally with humans. Alexanderson’s major contributions include developing machine learning methods for generating contextually appropriate pointing gestures, as seen in his highly cited 2023 paper (13 citations), and pioneering techniques for synchronizing speech with robot motion under real-time physical constraints, as demonstrated in his work on constrained optimization (3 citations). He has also advanced the automatic annotation of gestural units in spontaneous dialogue (6 citations) and explored the expressibility of non-verbal communication across diverse agent embodiments, from articulated robots to projected animated faces (9 and 5 citations, respectively). Notably, his research on Mimebot investigates how different physical forms can convey emotion and intent without speech. With a cumulative impact of over 36 citations and a focus on making artificial agents more intuitive and expressive, Alexanderson’s work is essential reading for students and researchers in robotics, multimodal interaction, and intelligent agent design.