A heuristic-based approach for assessing usability in electric powered wheelchairs: A preliminary investigation

OBJECTIVE

An important issue related to electric powered wheelchair (EPW) is usability. Recent studies did not use heuristic evaluation and did not consider users' and developers' participation in the usability evaluation process of the EPW, especially when it has to be driven using alternative commands. Thus, this study investigates the use of heuristics to evaluate the usability of EPW driven by alternative commands, considering the opinion of users and assistive technology (AT) development professionals.

METHODS

The study was carried out with 54 participants: 28 EPW users (Group I) and 26 AT developers (Group II). We built a set of 25 heuristics that affects EPW usability. Participants rated each of the 25 heuristics according to their importance for the usability of EPW using the five-point Likert scale. We used the R Software to perform the Wilcoxon Mann-Whitney test as a statistical comparisons test between Group I and II.

RESULTS

The results showed a statistically significant difference (p<0.05) between Group I and II in the evaluation of 16 heuristics. We identified an important set of heuristics that could help evaluate and improve the usability of EPW.

CONCLUSION

The findings highlighted the importance of considering users' and developers' points of view in developing an EPW and its evaluation criteria. It could help the design of the device match the user's needs and expectations. The set of heuristics in this study can be adapted to evaluate other devices' usability using the heuristic evaluation approach.

Post-stroke functional assessments based on rehabilitation games and their correlation with clinical scales: A scoping review

Considering that stroke is one of the main causes of adult impairment and the growing interest in Virtual Reality (VR) as a potential assessment and treatment tool for the rehabilitation of stroke patients, a scoping review was conducted to check whether user's motion data obtained from VR games and simulations can be clinically valid. This was done by reviewing studies on parameters for assessing the functional skills and rehabilitation progress using data from VR games or simulations. Then, identifying the most widely used and validated parameters for the quantification of motor ability in a virtual environment and suggesting challenges for future research. For the validation of the parameters obtained from the VR software, only the studies that correlated them with traditional physiotherapy scales were considered. In December 2022, a search of the following databases was performed: IEEE Xplore, ACM Digital Library, PubMed and PEDro. The selection criteria were studies published in English during the past 10 years, with upper-limb based interaction and tested on more than one stroke patient. A total of 14 were included in the PRISMA scoping review. Favorable results were found in 12 of the 14 studies, which reported positive or strongly positive correlations with clinical scales, even when diverse variables were used. In-depth research using a larger sample size is needed. The results demonstrate that data collected while playing a virtual serious game has the potential to be clinically valid, after conducting high-quality supportive studies with controlled variables, potentially helping the practice in terms of time and resources.

Skills assessment metrics of electric powered wheelchair driving in a virtual environment: a survey

The purpose of this review is to present studies on the parameters for assessing the skills of users of electric wheelchair driving simulators in a virtual environment. In addition, this study also aims to identify the most widely used and validated parameters for the quantification of electric wheelchair driving ability in a virtual environment and to suggest challenges for future research. To carry out this research, the criteria of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were adopted. Literature searches in English, French, and Portuguese were conducted up to December 2020 in the PubMed, SciELO, Science Direct, World Wide Science, and Scopus databases. The keywords used were electric wheelchair, simulator, performance indicators, performance skills, driving skills, training platform, virtual environment, and virtual reality. We excluded studies involving "real" wheelchairs without a simulator in a virtual environment. We have selected a total of 42 items. In these studies, we identified 32 parameters (3 qualitative and 29 quantitative) that are used as parameters for the evaluation of the ability to control a powered wheelchair in a virtual environment. Although the amount of research in this area has increased significantly in recent years, additional studies are still needed to provide a more accurate and objective assessment of skills among the target population. A challenge for future work is the increasing application of artificial intelligence techniques and the exploration of biomedical data measurements, which may be a promising alternative to improve the quantification of user competencies.

Reflections on epistemological aspects of artificial intelligence during the COVID-19 pandemic

Artificial intelligence plays an important role and has been used by several countries as a health strategy in an attempt to understand, control and find a cure for the disease caused by Coronavirus. These intelligent systems can assist in accelerating the process of developing antivirals for Coronavirus and in predicting new variants of this virus. For this reason, much research on COVID-19 has been developed with the aim of contributing to new discoveries about the Coronavirus. However, there are some epistemological aspects about the use of AI in this pandemic period of Covid-19 that deserve to be discussed and need reflections. In this scenario, this article presents a reflection on the two epistemological aspects faced by the COVID-19 pandemic: (1) The epistemological aspect resulting from the use of patient data to fill the knowledge base of intelligent systems; (2) the epistemological problem arising from the dependence of health professionals on the results/diagnoses issued by intelligent systems. In addition, we present some epistemological challenges to be implemented in a pandemic period.

Alternative communication systems for people with severe motor disabilities: a survey

We have now sufficient evidence that using electrical biosignals in the field of Alternative and Augmented Communication is feasible. Additionally, they are particularly suitable in the case of people with severe motor impairment, e.g. people with high-level spinal cord injury or with locked-up syndrome. Developing solutions for them implies that we find ways to use sensors that fit the user's needs and limitations, which in turn impacts the specifications of the system translating the user's intentions into commands. After devising solutions for a given user or profile, the system should be evaluated with an appropriate method, allowing a comparison with other solutions. This paper submits a review of the way three bioelectrical signals--electromyographic, electrooculographic and electroencephalographic--have been utilised in alternative communication with patients suffering severe motor restrictions. It also offers a comparative study of the various methods applied to measure the performance of AAC systems.

A review on techniques for tremor recording and quantification

Tremor is the most common movement disorder and differs from other disorders by its repetitive, stereotyped movements, with regular frequency and amplitude. The three most frequent pathological forms of it are the essential tremor (ET), the Parkinson's disease (PD) tremor, and the enhanced physiological tremor. The ET and PD tremor affect the older population mostly. Although there are cases of tremor reported since ancient times, there is currently no consensus about its causes or about its main differential characteristics. In this article, we present a review of the methods more frequently used in measurement and analysis of tremor and the difficulties encountered in the research for the identification of methodologies that allow a significant advance in the study of tremor.