Attention deficit disorder (ADHD) is one of the most common behavioral
conditions seen in children and adolescents in the United States, characterized by inattention, impulsivity,
and, in some cases, hyperactivity. Our previous NSF-funded study developed a new
assessment system called the Automated Test of Embodied Cognition (ATEC) that used cognitively
demanding physical tasks to capture executive function in action. It proved to be a better predictor of
children’s functioning than conventional testing. We now wish to leverage that work by developing a lowcost, easy-to-use virtual reality commercial system, called SF, to diagnose attention deficit and other EF
deficits. Potential customers will be educators, counselors, experts in vocational rehabilitation, healthcare,
families, and employers in different industries (transportation, manufacturing, services, and others).
Through our initial reviews we have identified several tasks of high importance. We are
currently focusing our efforts on below mentioned tasks:
![]() Prof. Fillia Makedon(PI) |
![]() Dr. Jennifer Sutton(Director of UTA TRIO counseling services Director, Senior Personnel) |
![]() Dr. Morris Bell(Project Psychology Consultant and Collaborator) |
![]() Enamul Karim/h4>Ph.D. Student - UTA |
![]() Ashish JaiswalPh.D. Student - UTA |
![]() Aref HebriPh.D. Student - UTA |
![]() Hamza Reza PavelPh.D. Student - UTA |