Research

The lab is broadly interested in investigating how real-time processing of language turns into cognitive representations over time (learning), how learned representations affect real-time processing, and what mechanisms can characterize these complex processes.  People use very simple streams of information to understand meaning such as when words co-occur (e.g. "dog" is often heard closer in time to the word "cat", so they may become associated over time).  We also use various "high-level" contexts such as communicative goals, social constraints, and overt behavior from the self and others.  How do we integrate such different kinds of information to build meaning in the moment and over time? See Huette's google scholar page for our most recent papers.