Factors Influencing Acceptance of Technology-enhanced Speech and Language Relearning for Stroke Survivors – A Systematic Review
2021 (English)In: 7th International Conference on e-Society, e-Learning and e-Technologies Portsmouth, United Kingdom, June 10-12, 2021, Association for Computing Machinery (ACM), 2021, p. 86-91Conference paper, Published paper (Refereed)
Abstract [en]
Speech and language loss is the most common disease for stroke survivors. The process of relearning communication skills is difficult and a time taking process. Technology-enhanced systems (TES) can be useful in speech and language relearning, however, the acceptance and usability of TES for stroke patients have been a matter of concern and more research is needed in this area. This study is therefore aimed to explore the factors that might influence the acceptance of technology-enhanced speech and language relearning after stroke. A systematic literature review was conducted to determine the technology acceptance factors. To ensure the state of the art in the given field, 97 articles written from 2016 to April 2021 were retrieved with a search string aligned to the research question. After applying the exclusion criteria and quality assurance, 13 articles were selected for inclusion. An overview of selected articles, their chosen methodology, and main findings from the articles was presented in a pre-defined table. The results show that patients’ physical and cognitive condition, the intensity of relearning exercises, native language, the involvement of friends and family, technical assistance and training, selection of hardware and usability of the graphical interface are important factors for acceptance of TES. Stroke patients tend to use TES. Independent living, treatment in the home environment, and improved quality of life are the major motivations for use of TES. However, TES should be tailor-made and a user-centre approach should be adopted. Finally, proper education and training are essential not only for the patients but for the speech therapists and patients’ relatives and friends as well.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2021. p. 86-91
Keywords [en]
Stroke Rehabilitation, Speech and Language relearning, E-Health, Independent Living, Tailor-made Software
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-42329DOI: 10.1145/3477282.3477285Scopus ID: 2-s2.0-85122027877ISBN: 978-1-4503-7684-6 (print)OAI: oai:DiVA.org:miun-42329DiVA, id: diva2:1569844
Conference
7th International Conference on e-Society, e-Learning and e-Technologies,[DIGITAL], Portsmouth, United Kingdom, June 10-12, 2021.
2021-06-212021-06-212022-01-11Bibliographically approved