Mike Seymour

Papers

Total Citations

H-Index

About

Mike Seymour is a leading researcher at the intersection of computer graphics, human-computer interaction, and artificial intelligence. His work fundamentally explores how people perceive and interact with highly realistic digital humans, a field with profound implications for virtual reality, online customer service, and entertainment. Seymour’s major contributions challenge and extend the classic "Uncanny Valley" theory, moving beyond passive observation to study interactive, real-time digital avatars. His 2017 paper on this subject (39 citations) laid crucial groundwork for understanding user acceptance of realistic agents. More recently, his highly cited 2024 study (40 citations) provides practice- and policy-oriented insights into user trust, affinity, and preference for AI-driven digital human agents in commercial settings. By conducting rigorous experiments, Seymour has demonstrated that factors like interactivity and task context can dramatically alter user perceptions, offering a more nuanced framework than the traditional uncanny valley. His research is vital for anyone designing or deploying digital humans, ensuring these technologies are both effective and ethically sound.