Usability and
cognitive load of hand rehabilitation virtual therapies with and
without exoskeletons
Abstract:
The functionality of the human hand
can be affected by several pathologies, such as osteoarthritis,
traumatic injuries, or carpal tunnel syndrome. Aging and
neurological disorders may also play a role, hindering daily
activities and reducing quality of life. To mitigate these effects,
traditional rehabilitation therapies, such as ultrasound, exercises,
and joint mobilization, have evolved into immersive virtual
applications. These therapies, known as “serious games,” use virtual
reality and optical systems to motivate patients, improving
mobility, strength, and coordination. Some integrate hand
rehabilitation exoskeletons (EMRs), maximizing benefits.
Usability and cognitive load are key aspects to consider in these
therapies. Virtual therapies often feature complex environments with
three-dimensional instructions and stimuli, which can be difficult
to understand, especially when EMRs are involved, leading to
frustration and abandonment. Proper therapy usability promotes
treatment adherence and facilitates understanding of tasks and
outcomes.
To evaluate usability and cognitive load, subjective
questionnaires are commonly used, complemented by biometric data
such as eye-tracking, which relates visual attention to information
acquisition. However, usability evaluations in immersive virtual
therapies are still scarce and often combine subjective metrics with
objective data in a limited way.
This project aims to develop and validate specific protocols that
integrate objective (biometric) and subjective (user experience)
metrics to evaluate usability and cognitive load in virtual
therapies with and without EMRs. Additionally, these protocols will
be applied to healthy participants and patients with hand
functionality impairments to analyze differences in usability and
cognitive load based on the therapy environment (real environment,
mixed reality, and virtual reality) and the use or non-use of an EMR.
The results of this project may contribute to improving the design
and selection of therapies, optimizing their effectiveness, and
reducing abandonment rates, thereby positively impacting users'
quality of life.