Dr. Hirshfield’s research explores the use of non-invasive brain measurement to passively classify users’ social, cognitive, and affective states in order to enhance usability testing and adaptive system design. She focuses her research on individual and team-level performance. Hirshfield works primarily with functional near-infrared spectroscopy (fNIRS), a relatively new non-invasive brain imaging device that is safe, portable, robust to noise, which can be implemented wirelessly; making it ideal for research in human-computer interaction. The high density fNIRS equipment in Hirshfield’s lab provides rich spatio-temporal data that is well suited as input into deep neural networks and other advanced machine learning algorithms. Hirshfield applies her research in wide ranging domains that span from human performance, to human-agent teams, and most recently into the realm of cognitive security.
keywords
functional near-infrared spectroscopy, brain-computer interaction, human-computer interaction, trust, affect, human information processing, adaptive systems, artificial intelligence, team science, collaborative problem solving, machine learning, brain-computer interfaces, cognitive security
CSCI 6940 - Master's Candidate for Degree
Primary Instructor
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Fall 2023
Registration intended for students preparing for a thesis defense, final examination, culminating activity, or completion of degree.
