Science

Research Areas

Language-based Human-AI Interaction and AI Literacy

The lab investigates how humans form social and psychological relationships with language-based AI like ChatGPT and Claude, and what these relationships reveal about cognition, personality, and the risks of human-AI interaction. A second line of work focuses on AI literacy: what people need to understand about how large language models work in order to use them effectively, if they decide to use them at all. Dan’s free online course, AI for Everyone: Critical AI Literacy, has enrolled more than 7,000 people from 61 countries. The course also serves as a platform for research on what people know about AI and how they feel about using it.

Sensorimotor Control and Learning in Language

The lab manipulates auditory, somatosensory, and visual feedback during language production to examine sensorimotor control, predictive processing, and forward model acquisition in speech and co-speech hand movements. In addition to this behavioural work, we’re also interested in the brain basis of speech—in particular, the role of the cerebellum in speech processing. We tackle this problem using large-scale neuroimaging meta-analyses or by combining behavioural manipulations with neural measures like fMRI and noninvasive brain stimulation.

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Publications

For a complete list of publications, visit Google Scholar.