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

Giroux, Félix; Couture, Loic; Lasbareille, Camille; Boasen, Jared; Stagg, Charlotte J.; Fleming, Melanie K.; Sénécal, Sylvain; Léger, Pierre‐Majorique

doi:10.1007/978-3-031-13064-9_35

Cited by 6 publications

(2 citation statements)

References 48 publications

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“…Second, considering Axon’s ability to differentiate from among an age-homogeneous neurotypical population, it would likely perform even better among populations where a larger variance in cognitive function would be expected, such as in older adults, children, stroke survivors, or other individuals with atypical cognitive function. This is important because understanding how to design appropriate and accessible IT for these populations has become a topic of increasing concern in UX research [ 65 - 67 ]. Moreover, Axon is suitable for remotely moderated experimentation, a popular strategy since the COVID-19 pandemic [ 68 ] and one that mitigates subject recruitment challenges for all population types.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Relationship Between Digital Trail Making Test Performance and IT Task Performance: Empirical Study

Depauw,

Boasen,

Léger

et al. 2024

JMIR Hum Factors

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Background Cognitive functional ability affects the accessibility of IT and is thus something that should be controlled for in user experience (UX) research. However, many cognitive function assessment batteries are long and complex, making them impractical for use in conventional experimental time frames. Therefore, there is a need for a short and reliable cognitive assessment that has discriminant validity for cognitive functions needed for general IT tasks. One potential candidate is the Trail Making Test (TMT). Objective This study investigated the usefulness of a digital TMT as a cognitive profiling tool in IT-related UX research by assessing its predictive validity on general IT task performance and exploring its discriminant validity according to discrete cognitive functions required to perform the IT task. Methods A digital TMT (parts A and B) named Axon was administered to 27 healthy participants, followed by administration of 5 IT tasks in the form of CAPTCHAs (Completely Automated Public Turing tests to Tell Computers and Humans Apart). The discrete cognitive functions required to perform each CAPTCHA were rated by trained evaluators. To further explain and cross-validate our results, the original TMT and 2 psychological assessments of visuomotor and short-term memory function were administered. Results Axon A and B were administrable in less than 5 minutes, and overall performance was significantly predictive of general IT task performance ( F 5,19 =6.352; P =.001; Λ=0.374). This result was driven by performance on Axon B ( F 5,19 =3.382; P =.02; Λ=0.529), particularly for IT tasks involving the combination of executive processing with visual object and pattern recognition. Furthermore, Axon was cross-validated with the original TMT ( P corr =.001 and P corr =.017 for A and B, respectively) and visuomotor and short-term memory tasks. Conclusions The results demonstrate that variance in IT task performance among an age-homogenous neurotypical population can be related to intersubject variance in cognitive function as assessed by Axon. Although Axon’s predictive validity seemed stronger for tasks involving the combination of executive function with visual object and pattern recognition, these cognitive functions are arguably relevant to the majority of IT interfaces. Considering its short administration time and remote implementability, the Axon digital TMT demonstrates the potential to be a useful cognitive profiling tool for IT-based UX research.

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Section: Discussionmentioning

confidence: 99%

Assessing the Relationship Between Digital Trail Making Test Performance and IT Task Performance: Empirical Study

Depauw,

Boasen,

Léger

et al. 2024

JMIR Hum Factors

Self Cite

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“…In this instance, HCI and assistive technology are closely related, given that HCI principles such as user-centred design, usability testing and iterative design are used in the design and evaluation of assistive technology. In this case, usability testing is a key factor in evaluating assistive technology analysing factors such as learnability, effectiveness, efficiency and user experience [21,[23][24][25][26] to obtain a system that meets the needs of the end user.…”

Section: Introductionmentioning

confidence: 99%

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

Zapata

Valencia-Aragón

Ramos-Galarza

2023

Sensors

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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.

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Collecting Longitudinal Psychophysiological Data in Remote Settings: A Feasibility Study

Poirier

Giroux

Léger

et al. 2022

Information Systems and Neuroscience

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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

Cited by 6 publications

References 48 publications

Assessing the Relationship Between Digital Trail Making Test Performance and IT Task Performance: Empirical Study

Assessing the Relationship Between Digital Trail Making Test Performance and IT Task Performance: Empirical Study

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

Collecting Longitudinal Psychophysiological Data in Remote Settings: A Feasibility Study

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