Predicting the Success of Design Assistive Input Devices for Disabled People

Abstract:

It is important issue to select and design a suitable Assistive Input Devices (AID) for disabled people. This study applies the Incomplete Linguistic Preference Relations (InLinPreRa) analytical framework to predicting the success of design Assistive Input Devices (AID) for disabled people implementation. The results demonstrate that the five most important influential factors are (C₆) User-friendly interface (0.166) (C₄) Budget (0.163), (C₅) Stability of Device (0.159), (C₃) easy to maintain (0.144), (C₁) easy to operate (0.126). The prediction success rate for AID for disabled people system implementation is 62.7%.

• Periodical: Applied Mechanics and Materials (Volumes 488-489)
• Pages: 930-933
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.488-489.930
• Online since: January 2014
• Authors: Ching Tien Shih*, Shu Chen Hsu
• Keywords: Assistive Input Devices, Decision-Making, Disabled, InLinPreRa

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