PURPOSE The purpose of this study is to analyze the type of and interest in home training video contents using the YouTube platform. METHODS Web crawling was performed using Python and a total of 3,937 sets ofvideo information (title, content, number of views, upload date) were obtained, 3,155 of which were finally selected for the study material. Overlapping and unrelated content were excluded. The data of text underwent 3 stages of preprocessing, the TF and TF-IDF of the keywords were calculated to identify the main keywords, and the LDA algorithm was applied in the topic modeling to successfully identify the types. In order to understand the level of interest by type, the number of views was subdivided into the percentage of the assigned type. RESULTS First, the types of home training videos were classified into bare whole body exercise for aerobic and muscular power strengthening, Pilates exercise for core and upper body strengthening, upper body exercise using tools, lower body line exercise, posture correction and upper body stretching exercise for pain relief, hip-up exercise, dance and tabata exercise for diet, diet and lower body correction stretching exercise for diet, and bare body exercise for core and lower body strengthening. Second, it was found that the proportion and interest were high in the contents of bare whole body exercise for aerobic and muscular power strengthening, dance and tabata exercise for diet, diet and lower body correction stretching exercise for diet. CONCLUSIONS The findings of this study may provide baseline data about the development of the active online home training videos in the market.
PURPOSE Since the COVID-19 pandemic, the demand for home training, with exercises or workouts at home, has steadily increased. As a result, the popularity of home training YouTube content, which shows how to use exercise equipment or workouts without professional influence, has also increased. Therefore, this study focused on the characteristics of YouTube home training content (specialization, diversity, and interaction), personal health awareness, exercise awareness, and expectation-confirmation model to identify which required exercise continuation intention through YouTube home training. METHODS SPSS and AMOS software were used to conduct frequency, reliability, and confirmatory factor analyses, as well as to conduct correlation analysis and construct a structural equation model. RESULTS First, health and exercise awareness had a positive effect on confirmation. Second, among the characteristics of home training content, only specialization had a positive effect on perceived usefulness. Third, confirmation had a positive effect on perceived usefulness and viewing satisfaction, perceived usefulness had a positive effect on viewing satisfaction and exercise continuation intention, and viewing satisfaction had a positive effect on exercise continuation intention, which proved the expectation-confirmation model in this study. CONCLUSIONS To increase exercise continuation intention through home training YouTube content, creators need to produce professional content that can stimulate viewers' internal motivation.
PURPOSE This study aimed (1) to analyze the behavioral intention and use behavior among the consumers of online home training contents via YouTube by employing the unified theory of acceptance and use of technology (UTAUT); (2) to test the moderating effects of risk perception toward the coronavirus (COVID-19) infection, and 3) to test differential impacts of generational difference across millennial and baby boom generations. METHODS A total of 400 questionnaires were distributed, and 383 samples were used for the final analysis after excluding 17 incomplete responses. Data were analyzed using the SPSS 25.0 and AMOS 22.0. RESULTS It was found that (1) the performance expectancy, the effort expectancy, and the social influence had positive effects on behavioral intention; (2)the facilitating condition had negative effects on the use behavior; (3) the behavioral intention had positive impact on the use behavior. Moreover, the risk perception toward the COVID-19 infection did not have moderating impacts on the UTAUT model, whereas generational differences did. CONCLUSIONS Our results suggest that the marketing strategy that improves exercise performance, convenience, and social influencing factors may be key to home training customers' behavioral intention and use behavior. Furthermore, home training material makers should recognize that the features and infrastructure required for the two generations are distinct and develop a separate marketing strategy for each.
PURPOSE This study aimed to explore ways to utilize augmented reality (AR) in school sports and leisure by examining the case of an elementary school sports club using augmented reality-based e-sports. METHODS A self-study approach and Eisner's(1995) educational criticism were utilized. Data including photos, videos, literature, and memory boxes related to the elementary school AR sports club were collected weekly during the school semesters from March 2023 to January 2024, spanning a total of 30 weeks. The data were analyzed following the stages of analysis by Elo & Kyngäs(2007). RESULTS Augmented reality can act as a personalized exercise coach by visualizing physical activity information. Through posture and movement analysis, education on physical strength and expression can be provided that is linked to home; it can also expand the range of sports experiences and create a new sports culture. In order to effectively utilize AR, edtech field experts must be trained, and content must be developed through cooperation between companies and schools. The educational effectiveness of the content must be verified and the management system must be inspected, and public facilities utilizing edtech must be expanded. CONCLUSIONS AR has endless development potential in school sports and leisure, but these will require active interest and support from educational authorities.
