• DocumentCode
    1161823
  • 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
  • Volume
    13
  • Issue
    3
  • fYear
    2005
  • Firstpage
    292
  • Lastpage
    301
  • 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;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2005.848350
  • Filename
    1506816