แอปพลิเคชันแนะนำการออกกําลังกายสำหรับผู้สูงอายุบนสมาร์ทโฟน
Year: 2023
Type: article
Abstract: Gathering elders is a significant issue which concerns all governments. Therefore, our research was developed to provide an exercise recommendation application for the elderly on a smartphone and to provide assistance and improve the quality of life for the elderly. There are 16 exercising postures that suitable for the elderly. All of posters are divided into 4 categories and presented in the form of slides and audio narration. The application was developed via Android Studio Visual Studio Code program, Dart language (Dart) and the Firebase mobile platform was used as database of the application. Research tools used in the study were an efficiency evaluation form and a satisfaction assessment form. The statistics used in the analysis are arithmetic mean and standard deviation. The evaluations of this application are divided into 2 parts. Firstly, the evaluating application performance from the exercise experts and application development techniques experts, 3 people each.It is found that the application prior to use in this work was evaluated by exercise experts and had the highest level of appropriateness. Moreover, the results of the performance evaluation by technical experts was at the highest level of suitability. Secondly, the satisfaction assessments from those of 30 elderly samples are obtained by simple random method. The results showed that the elderly are able to use the application for exercising by themselves according to various recommendations which are contained in the application. Satisfaction by users was at a high level. When specific aspects of the application are considered, it was found that the elderly are satisfied with the ease of finding exercise patterns, the displaying information and providing knowledge about exercise and the assessment for exercise recommendation
Language: Thai
Subfield: Geriatrics and Gerontology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7220253430