clic lab
Investigating how people and AI systems differ, and how they interact.
Our research explores the intersection of psychology and AI in three different ways:
Using AI systems as computational models to test hypotheses about human cognition.
Investigating how people interact with AI systems and with each other in real time.
Understanding the longer-term impacts of AI on human psychology and society.
LLMs are effective at persuading people despite being poor at representing and reasoning about their partner's beliefs, suggesting that their persuasion does not rely on planning theory of mind.
In a pre-registered three-party Turing test, GPT-4.5 prompted to adopt a human-like persona was judged to be the human 73% of the time, significantly more often than the real human participants.
Reviews the empirical work on how far LLMs can persuade and deceive, sets out the risks that follow, and considers what might be done about them.
Assistant Professor, PI
Cameron is an Assistant Professor of Psychology at Stony Brook University and the Director of the clic lab. He got his PhD in Cognitive Science from UCSD in 2024. He's interested in how people and AI systems differ, and how they interact.
PhD Student
Ruoxuan has an M.S. in Data Science from Columbia University and a B.S. in Cognitive Science from UCSD. She studies how people and AI systems communicate and interact. She is interested in building evaluations of these interactions and designing personalized AI systems that support people with different cognitive profiles.