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About

Jeremy Goslin is a researcher whose work sits at the intersection of human-robot interaction, cognitive psychology, and communication science. His scholarship explores how humans perceive, trust, and socially engage with artificial agents, ranging from robotic systems to synthetic voices. Goslin's most influential contribution, "Trust in Artificial Voices" (2018, 70 citations), has become a foundational reference for researchers and designers seeking to build reliable human-machine communication systems, highlighting the critical importance of eliciting trust in synthetic speech. His pioneering investigations into anthropomorphism — particularly the landmark study "Priming Anthropomorphism" (2016, 39 citations) — demonstrate that humanlike characteristics in robots substantially shape their perceived credibility, and that exposure to humanlike robots can prime people to extend trust to less anthropomorphic machines. Goslin has further examined the social dynamics of human-robot cooperation, showing that robots function as genuine social agents capable of influencing cooperative decision-making. His work on imitation and social learning in robotic contexts adds nuance to longstanding theories of human behaviour. Collectively, with over 190 citations across his published work, Goslin has made substantial contributions to understanding how humanity will psychologically and socially adapt to an increasingly automated world.