CNS Logo (framed)The computational social neuroscience research program of the Computational Neuropsychology and Simulation (CNS) Lab (PI: Dr. Thomas D. Parsons) lies at the intersection of neuropsychology and novel technologies (Clinical XR). We aim to enhance neuropsychological assessments and extend cognition (individual, social, affective, ethical XR).

The CNS Lab uses novel technologies (brain-computer interfaces, VR/AR/XR, video games/serious games, Clinical XR) and novel data analytics (neuroinformatics; neural nets; machine learning) for assessment/training of social, neurocognitive, and affective functions. Students training in the lab focus on the following areas/projects:

  • Computational Social Neuroscience, Cyberpsychology, and Digital Psychology: Traditional approaches to assessing social, cogntive, affective, and moral judgements and decision-making processes have subjected individuals and groups to static stimuli and/or vignettes (hypothetical choices) that often do not reflect the dynamic nature of judgements and decisions made in everyday activities. This project aims to use extended reality (XR: virtual and augmented reality; virtual humans) scenarios to enhance the ecological validity of research in computational social science, social neuroscience, clinical neuropsychology, and neuroethics.
  • Virtual Environment Grocery Store (VEGS): We are working with collaborators internationally and nationally to develop the psychometric properties (i.e., norms) of the VEGS-based neuropsychological assessment battery. The VEGS is being applied to various neurocognitive and neuropsychiatric disorders.
  • Virtual School Environment (VSE): The VSE is being applied to both neurotypical (i.e., normally developing) participants and persons with various neurodevelopmental disorders (e.g., Autism; ADHD). This project includes collaborators internationally and nationally. We aim to establish the psychometric properties (i.e., norms) of the VSE-based neuropsychological assessment battery.

Training: The CNS Lab aims to produce well-trained scientists devoted to the continuous development of an empirical knowledge base in Computational Social Science, Neuropsychology, Clinical XR, Cyberpsychology, and Human-Computer Interactions. Students are prepared for employment in academic and industry settings.