Ahmad Alaiad

TL;DR: Sociotechnical factors play a powerful role in explaining the adoption intention for home healthcare robots, and monitoring vital signs and facilitating communication with family and medication reminders are the most preferable tasks and applications for robots.

TL;DR: This study addresses facilitators and barriers with regard to WSN-SHHS adoption by identifying important sociotechnical, cognitive, affective, and contextual factors and reveals that human detachment concerns rather than performance expectancy is the strongest predictor of patients' adoption of WSN

TL;DR: An integrative model is proposed that explains the patient's adoption behavior of M-Health in developing countries grounded on the unified theory of acceptance and use of technology, dual-factor model, and health belief model to better understanding how technological, social, and functional factors are associated with digital health applications and services use and success in the context of developing countries.

TL;DR: A collaborative recommender system that recommends online courses for students based on similarities of students' course history is presented and it is noticed that clustering students into similar groups based on their respective course selections play a vital role in generating association rules of high quality when compared with the association rules generated using the whole set of courses and students.

TL;DR: The empirical results not only confirmed the effects of some constructs from the original UTAUT model but also identified perceived security as a new factor that directly affects usage intention of home healthcare robots.