Title :
A model to predict accommodations needed by disabled persons
Author :
Babski-Reeves, Kari ; Williams, Sabrina ; Waters, Tzer Nan ; Crumpton-Young, Lesia L. ; McCauley-Bell, Pamela
Author_Institution :
Grado Dept. of Ind. & Syst. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
In this paper, several approaches to assist employers in the accommodation process for disabled employees are discussed and a mathematical model is proposed to assist employers in predicting the accommodation level needed by an individual with a mobility-related disability. This study investigates the validity and reliability of this model in assessing the accommodation level needed by individuals utilizing data collected from twelve individuals with mobility-related disabilities. Based on the results of the statistical analyses, this proposed model produces a feasible preliminary measure for assessing the accommodation level needed for persons with mobility-related disabilities. Suggestions for practical application of this model in an industrial setting are addressed.
Keywords :
biomechanics; fuzzy logic; fuzzy set theory; handicapped aids; physiological models; statistical analysis; disabled person accommodation; mobility-related disability; statistical analysis; Employee rights; Employment; Fuzzy logic; Fuzzy set theory; Mathematical model; Predictive models; Protection; Statistical analysis; Telecommunication services; Transportation; Accommodations; disabled; fuzzy logic; linguistic modeling; Adult; Artificial Intelligence; Decision Support Systems, Clinical; Decision Support Techniques; Disability Evaluation; Disabled Persons; Female; Humans; Male; Movement Disorders; Needs Assessment; Occupational Therapy; Questionnaires; Reproducibility of Results; Sensitivity and Specificity; Therapy, Computer-Assisted;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2005.848350
