Universal Access in the Information Society

, Volume 17, Issue 1, pp 147–160 | Cite as

Comprehensive assessment for motor and visually impaired people using a hierarchical model

  • Awais Ahmad Khan
  • Ghassan Ali Kbar
  • Naveed Ahmad
Long Paper
  • 80 Downloads

Abstract

The evolution of various modern technologies has inspired researchers to assess the effectiveness of these technologies for people with diversified disabilities. In this article, a comprehensive and effective assessment method for motor and visually impaired people has been accomplished using analytical hierarchy process (AHP). In the first phase, the proposed evaluation is based on the comparative judgment of the clinical experts using the AHP rating scale. In the second phase, the evaluation is authenticated by incorporating user judgment scores based on multi-weighted scoring model (MWSM). The MWSM output values are then converted to the AHP scale. The AHP algorithm is applied on the basis of average scores obtained from both evaluations. The technique successfully explores the essential, supporting and optional technologies for various people with disabilities (PwD) as well as identifying the criteria weight used for assessing research articles and existing solutions. Moreover, the assessment criteria are used by MWSM to assess research papers related to motor and visual impairment conditions. The assessment techniques have successfully identified the relevant criteria that can be used to assess technological research papers. It also reports the suitability of the various technological solutions and explores the limitations of the designed technological solutions for PwDs.

Keywords

Motor and visual impairment AHP MWSM People with disabilities 

Notes

Acknowledgements

Funding was provided by King Abdulaziz City for Science and Technology (Grant No. 12-ELE3220–02).

Supplementary material

10209_2017_523_MOESM1_ESM.docx (43 kb)
Supplementary material 1 (DOCX 42 kb)
10209_2017_523_MOESM2_ESM.docx (40 kb)
Supplementary material 2 (DOCX 39 kb)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Awais Ahmad Khan
    • 1
  • Ghassan Ali Kbar
    • 2
  • Naveed Ahmad
    • 3
    • 4
  1. 1.Mechanical Engineering DepartmentUniversity of Engineering and TechnologyLahorePakistan
  2. 2.Riyadh Techno ValleyKing Saud UniversityRiyadhSaudi Arabia
  3. 3.Industrial and Manufacturing Engineering DepartmentUniversity of Engineering and TechnologyLahorePakistan
  4. 4.Princess Fatima Alnijiris’s Research Chair for Advanced Manufacturing Technology (FARCAMT)King Saud UniversityRiyadhSaudi Arabia

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