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Experimental Evaluation of EMKEY: An Assistive Technology for People with Upper Limb Disabilities

Research output: Contribution to journal › Article › peer-review

Abstract

Assistive technology can help people with disabilities to use computers more effectively and can enable them to access the same information and resources as people without disabilities. To obtain more insight into the factors that can bring about the design of an Emulator of Mouse and Keyboard (EMKEY) to higher levels of user satisfaction, an experimental study was conducted in order to analyse its effectiveness and efficiency. The experimental study involved 27 participants (Mage = 20.81, SD = 1.14) who performed three experimental games under different conditions (using the mouse and using EMKEY with head movements and voice commands). According to the results, the use of EMKEY allowed for the successful performance of tasks such as matching stimuli (F(2,78) = 2.39, p = 0.10, η2 = 0.06). However, the execution times of a task were found to be higher when using the emulator to drag an object on the screen (t(52,1) = −18.45, p ≤ 0.001, d = 9.60). These results indicate the effectiveness of technological development for people with upper limb disabilities; however, there is room for improvement in terms of efficiency. The findings are discussed in relation to previous research and are based on future studies aimed at improving the operation of the EMKEY emulator.

Original languageEnglish
Article number4049
JournalSensors
Volume23
Issue number8
DOIs
StatePublished - 17 Apr 2023

Bibliographical note

Publisher Copyright:
© 2023 by the authors.

Funding

This work has been supported by the Universidad Indoamérica through the projects “Cyber-Physical Systems for Smart Environments-SCEIN” with funding code INV-0014-020-004, and “Technological Innovations in Neuroscience-ITN” with funding code INV-0014-018-004.

Funder number
INV-0014-020-004, INV-0014-018-004

    Keywords

    • assistive technology
    • face recognition
    • hands-free computer interface
    • nose tracking
    • speech-to-text
    • usability

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