Martin Corley
Papers
1
Total Citations
4
H-Index
1
About
Martin Corley is a cognitive scientist whose research bridges psycholinguistics, speech perception, and human-computer interaction. His work explores how listeners process and evaluate synthetic speech, with a particular focus on the uncanny valley effect—the discomfort elicited by entities that appear almost, but not quite, human. In his highly cited 2024 study, "Is there an uncanny valley for speech? Investigating listeners’ evaluations of realistic TTS voices," Corley systematically examined how realistic text-to-speech voices can trigger similar aversive responses as near-human visual stimuli, a finding with significant implications for voice interface design and human-robot interaction. This work has already garnered 4 citations and is shaping conversations in both cognitive psychology and artificial intelligence. Beyond this, Corley has made foundational contributions to understanding speech production and comprehension, including how speakers monitor their own speech and how listeners process disfluencies. His research is widely cited across disciplines, reflecting its impact on theories of language processing and applied technology. Corley’s work continues to inform the development of more natural and acceptable synthetic voices, making him a key figure at the intersection of language science and human-centered AI.
Research Focus
Key Achievements
Top Papers
- 1