Abstract
Due to limited motor capabilities, people with upper limb disabilities have trouble utilizing a typical mouse while operating a computer. Different wearable Assistive Mouse Controllers (AMCs) have been developed to overcome their challenges. However, these people may not be able to realize the importance, ease of use, and social approval of these AMCs due to their fear of new technology, lack of confidence, and lack of ingenuity. These may negatively affect their attitude and intention toward accepting AMCs for equitable human-computer interaction. This study presents the development of a sensor-based head-mounted AMC, followed by an empirical analysis of its acceptance using the Technology Acceptance Model (TAM) from the socioeconomic perspective of Bangladesh. In a similar vein, we examined the effects of three additional psychological constructs—technology anxiety, confidence, and innovation, on its acceptance along with the original components of the TAM. A total of 150 individuals with stroke-induced upper limb disability participated in an online survey, and their responses were analyzed using confirmatory factor analysis and structural equation modeling, following the general least square method. Analysis revealed, about 96.44% of the participants had positive attitude towards the AMC, and almost 88.56% of them had positive intentions to accept it. Furthermore, about 68.61% of them expressed signs of anxiety, 96.35% were confident, and 94.16% of them had an innovative mindset in terms of device usage. The findings imply that individuals with an innovative mentality are more capable of comprehending the practical implications of a new technology than those without one. It is also feasible to reduce technological anxiety and boost a user’s confidence while using an AMC by combining an innovative mentality with straightforward device interaction techniques. Additionally, peer encouragement and motivation can significantly enhance their positive attitude towards accepting the AMC for facilitating their interaction with a computer.
Funder
Islamic University of Technology (IUT) Research Seed Grant
Publisher
Public Library of Science (PLoS)
Reference107 articles.
1. Visualizing the research on pervasive and ubiquitous computing;R Zhao;Scientometrics,2011
2. Upper limb motor impairment after stroke;P Raghavan;Physical Medicine and Rehabilitation Clinics,2015
3. Operative and consultative proportions of neurosurgical disease worldwide: estimation from the surgeon perspective;MC Dewan;Journal of neurosurgery,2018
4. The epidemiology and causes of cerebral palsy;DS Reddihough;Australian Journal of physiotherapy,2003
5. Amyotrophic lateral sclerosis;NW Roller;Oral Surgery, Oral Medicine, Oral Pathology,1974