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

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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.

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Acknowledgements

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

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Authors and Affiliations

  1. Mechanical Engineering Department, University of Engineering and Technology, Lahore, Pakistan

    Awais Ahmad Khan

  2. Riyadh Techno Valley, King Saud University, Riyadh, Saudi Arabia

    Ghassan Ali Kbar

  3. Industrial and Manufacturing Engineering Department, University of Engineering and Technology, Lahore, Pakistan

    Naveed Ahmad

  4. Princess Fatima Alnijiris’s Research Chair for Advanced Manufacturing Technology (FARCAMT), King Saud University, Riyadh, Saudi Arabia

    Naveed Ahmad

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  1. Awais Ahmad Khan
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  2. Ghassan Ali Kbar
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  3. Naveed Ahmad
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Correspondence to Awais Ahmad Khan.

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Khan, A.A., Kbar, G.A. & Ahmad, N. Comprehensive assessment for motor and visually impaired people using a hierarchical model. Univ Access Inf Soc 17, 147–160 (2018). https://doi.org/10.1007/s10209-017-0523-2

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