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I
am
interested in how sensory information is turned into
perceptions of other people—and the tentative perceptions
that may get partially computed along the way. My work,
then, looks at how the person perception process evolves
over time and how, during this process, multiple perceptual
cues (most importantly facial cues, but also cues of the
voice and body) are rapidly integrated into coherent construals of others. This involves examining the underlying
neural mechanisms that mediate these construals (using fMRI),
as well as the real-time evolution of the cognitive and
neural processing that gives rise to them (using computer
mouse-tracking and EEG/ERPs).
Thus, my work investigates the cognitive and neural basis of
how people come to arrive at their ultimate judgments of
others, as well as the perceptual underpinnings that permit
these judgments in the first place. I use a diverse
set of methodologies to do this, including fMRI, EEG/ERPs,
computer mouse-tracking, computational modeling, as
well as traditional behavioral paradigms. I use these in
tandem with a variety of stimuli, including percepts that
are precisely controlled using 3D facial synthesis and
morphing, or vocal manipulation, in combination with others
that are more naturalistically sampled from real people.
My research
consistently points to the idea that person perception is a
dynamic, interactive process. It is dynamic, in that
perceptions are gradually built up over hundreds of
milliseconds—in competition with other possible
perceptions—until stabilizing over time. It is also interactive, in that top-down
factors (e.g., prior knowledge, stereotypes, one's
learned cultural environment, one's motivations) fluidly interact with bottom-up sensory information (e.g., facial,
vocal, and bodily cues) to shape the
basic ways we see and understand other people. My approach
incorporates insights and techniques across social and
cognitive psychology, neuroscience, and dynamical cognitive science, which I hope enhances the overall
quality of the research. |