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Publications in VIVO

Hirshfield, Leanne M

Assoc Research Professor


Research Areas research areas


research overview

  • 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.


  • 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


selected publications


courses taught

  • CSCI 6940 - Master's Degree Candidacy
    Primary Instructor - Fall 2023
    For students who need to be registered for the purpose of taking the master's comprehensive exam and who are not otherwise registered. Credit does not count toward degree requirements.
  • CSCI 6950 - Master's Thesis
    Primary Instructor - Fall 2022 / Spring 2023


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