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About

Morten Roed Frederiksen is a human-robot interaction researcher whose work sits at the intersection of affective computing, social robotics, and human psychology. His research focuses primarily on how robots communicate emotional states and intentions to human users, and how these interactions shape perception, empathy, and social dynamics. Frederiksen's most significant contributions include developing the Model of Affective Expression Modalities (MOAM), a systematic framework for comparing how robots convey affective states across different expression channels — a foundational tool for researchers designing socially capable robots. His highly cited 2022 study on robot vulnerability demonstrated that carefully crafted affective narratives can meaningfully elicit human empathy toward robots, advancing our understanding of the psychological mechanisms underlying human-robot bonding. Beyond empathy, Frederiksen has explored practical applications of affective robotics, including whether robots can de-escalate high-intensity human conflicts and how coordinated emotional reactions between humans and robots build perceived social rapport. His work on augmenting audio-based expression further highlights his commitment to expanding robots' communicative repertoires. With citations spanning multiple publication years, his research has established a coherent and growing body of work that informs both the design of emotionally intelligent robots and the broader science of human-machine social interaction.