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Usability Evaluation of Assistive Technology for ICT Accessibility: Lessons Learned with Stroke Patients and Able-Bodied Participants Experiencing a Motor Dysfunction Simulation

In: Information Systems and Neuroscience

Author

Listed:
  • Félix Giroux

    (HEC Montréal)

  • Loic Couture

    (HEC Montréal)

  • Camille Lasbareille

    (University of Oxford)

  • Jared Boasen

    (HEC Montréal
    Hokkaido University)

  • Charlotte J. Stagg

    (University of Oxford)

  • Melanie K. Fleming

    (University of Oxford)

  • Sylvain Sénécal

    (HEC Montréal
    HEC Montréal)

  • Pierre-Majorique Léger

    (HEC Montréal
    HEC Montréal)

Abstract

The recruitment of disabled participants for conducting usability evaluation of accessible information and communication technologies (ICT) is a challenge that current research faces. To overcome these challenges, researchers have been calling upon able-bodied participants to undergo disability simulations. However, this practice has been criticized due to the different experiences and expectations that disabled and able-bodied participants may have with ICT. This paper presents the methodology and lessons learned from ongoing mixed method-based usability evaluation of a suboptimal conventional computer mouse and an assistive gesture-based interface (i.e., the Leap Motion Controller) by stroke patients with upper-limb impairment and able-bodied participants experiencing a motor dysfunction simulation. The paper concludes with recommendations for future multidisciplinary research on ICT accessibility by people with disabilities.

Suggested Citation

  • Félix Giroux & Loic Couture & Camille Lasbareille & Jared Boasen & Charlotte J. Stagg & Melanie K. Fleming & Sylvain Sénécal & Pierre-Majorique Léger, 2022. "Usability Evaluation of Assistive Technology for ICT Accessibility: Lessons Learned with Stroke Patients and Able-Bodied Participants Experiencing a Motor Dysfunction Simulation," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 349-359, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-13064-9_35
    DOI: 10.1007/978-3-031-13064-9_35
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