dc.contributor.author | Orens, Jessica E. | en_US |
dc.contributor.author | Siddiqui, Kainaat F. | |
dc.contributor.author | Rhamdari, Ravi L. | |
dc.contributor.author | Harkinish-Murray, Zachary I. | |
dc.contributor.author | Verrengia, Michael T. | |
dc.contributor.author | Neuwirth, Lorenz S. | |
dc.contributor.author | Park, Lilian H. | |
dc.contributor.author | Mukherji, Basabi R. | |
dc.contributor.author | DeFelice, Stacey | |
dc.date.accessioned | 2019-05-06T17:04:34Z | |
dc.date.available | 2019-05-06T17:04:34Z | |
dc.date.issued | 2019-04-26 | |
dc.identifier.uri | http://hdl.handle.net/1951/70628 | |
dc.identifier.uri | https://www.farmingdale.edu/surc/presentations/individual.shtml?id=335 | |
dc.description | Student research presented at SURC-2019, Farmingdale, NY sponsored by multiple departments at SUNY Old Westbury that examined the eye movement behavioral differences of participant's reaction time (RT) and their cumulative responses (CR) across the Flanker task as a function of gender and type of disability | en_US |
dc.description.abstract | Individuals with disabilities often require accommodative technologies in order to help
facilitate their leaning during their undergraduate college years. However, dependent
upon the type of disability that an individual might experience, their accommodative
needs may he rather unique. However, despite the individual differences that people
exhibit, visual eye tracking has been shown to be rather sensitive in detecting similar eye
movement behavioral signatures that can be used to group/categories people without
knowing their underlying individual disability with fairly good accuracy. Our ,
neuropsychology research team has been evaluating over the last 4-years, how accurate
and sensitive a Flanker eye tracking task is when combined with visual eye tracking
technology (VETT) to characterize differences in a diverse subset of individuals with .
disabilities, when compared to non-disabled individuals. The present study evaluates the
eye movement behavioral differences in the participant's reaction time (RT) and their
cumulative responses (CR) across the Flanker task as a function of gender and type of
disability (i.e., 1) learning disabilities [LD], 2) emotional/psychiatric conditions [EPC], 3)
orthopedic/mobility impairments [EMI], 4) attention deficit/hyperactivity disorders
[AD/HD] and 5) health impairments [HI]. However, most national data lacks the
inclusion of students with multiple disabilities [MD]). The study was conducted through
our OSSD office and the researchers were triple blinded from the individuals ensuring
anonymity and all participant data were coded. The preliminary results obtained suggest
that the VETT can be used to characterize individual and group difference between
gender and disability type reasonably well. This suggests that the Flanker task combined
with VETT can be used to assess and perhaps effectively prescribe a match-to-sample set
of accommodations for undergraduate college students that have disabilities. The VETT
assessment can help to justify more accommodative technology needs within a given
college and will directly benefit students with disabilities along their undergraduate
education. | en_US |
dc.description.sponsorship | SUNY Old Westbury Office of Services for Students with Disabilities;
SUNY Old Westbury Department of Psychology;
Neuroscience Research Institute, SUNY Old Westbury | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | SURC-2019 Farmingdale | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | Attention | en_US |
dc.subject | Task | en_US |
dc.subject | Visual Eye Tracking Technology | en_US |
dc.subject | Eye Cumulative Responses | en_US |
dc.subject | Reaction Time | en_US |
dc.subject | College Students | en_US |
dc.subject | Students with Disabilities | en_US |
dc.subject | Eye Gaze | en_US |
dc.subject | Flanker Task | en_US |
dc.subject | OSSD | en_US |
dc.title | Flanker Task Visual Eye Tracking Performance Measures: Assessment of Individual Disability Classifications Sensitivity Detection in Cumulative Response Learning and RT | en_US |
dc.type | Learning Object | en_US |
dc.type | Presentation | en_US |