{"title":"人体体能训练增强现实系统的用户体验设计评估","authors":"M. Sidhu, J. Iqbal","doi":"10.22452/mjcs.sp2021no1.5","DOIUrl":null,"url":null,"abstract":"Technology advancements has enabled dance to be learnt without mirrors or real dance trainer. Distinctive benefits has been contributed by Augmented Reality (AR) technology. Dance trainers are focusing upon implementing dance analysis systems to enhance dance trainee’s artistic skills. AR technology presents new user experience (UX) for learning, instructing, developing and accessing physical dance movements as well as provides scope to expand dance resources and rediscover the learning process. In this research work, we present a novel human physical training system i.e. dance training and analysis that could help individuals in learning selected dance styles which ignites motivation, matches dance steps/body postures and analyzes the performance. This study explored quantitative data by means of statistical tests validation with participants in using the phyisical training system that has facilitated in testing the dance body postures and steps. The work also adopted the user experience (UEQ) questionnaire to perform the UX evaluation. The outcome revealed favaroble results indicating the measurement score of the UEQ six scales to be in the positive range.","PeriodicalId":49894,"journal":{"name":"Malaysian Journal of Computer Science","volume":" ","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"UX DESIGN EVALUATION OF AN AUGMENTED REALITY SYSTEM FOR HUMAN PHYSICAL TRAINING\",\"authors\":\"M. Sidhu, J. Iqbal\",\"doi\":\"10.22452/mjcs.sp2021no1.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Technology advancements has enabled dance to be learnt without mirrors or real dance trainer. Distinctive benefits has been contributed by Augmented Reality (AR) technology. Dance trainers are focusing upon implementing dance analysis systems to enhance dance trainee’s artistic skills. AR technology presents new user experience (UX) for learning, instructing, developing and accessing physical dance movements as well as provides scope to expand dance resources and rediscover the learning process. In this research work, we present a novel human physical training system i.e. dance training and analysis that could help individuals in learning selected dance styles which ignites motivation, matches dance steps/body postures and analyzes the performance. This study explored quantitative data by means of statistical tests validation with participants in using the phyisical training system that has facilitated in testing the dance body postures and steps. The work also adopted the user experience (UEQ) questionnaire to perform the UX evaluation. The outcome revealed favaroble results indicating the measurement score of the UEQ six scales to be in the positive range.\",\"PeriodicalId\":49894,\"journal\":{\"name\":\"Malaysian Journal of Computer Science\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2021-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Malaysian Journal of Computer Science\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.22452/mjcs.sp2021no1.5\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Computer Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.22452/mjcs.sp2021no1.5","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
UX DESIGN EVALUATION OF AN AUGMENTED REALITY SYSTEM FOR HUMAN PHYSICAL TRAINING
Technology advancements has enabled dance to be learnt without mirrors or real dance trainer. Distinctive benefits has been contributed by Augmented Reality (AR) technology. Dance trainers are focusing upon implementing dance analysis systems to enhance dance trainee’s artistic skills. AR technology presents new user experience (UX) for learning, instructing, developing and accessing physical dance movements as well as provides scope to expand dance resources and rediscover the learning process. In this research work, we present a novel human physical training system i.e. dance training and analysis that could help individuals in learning selected dance styles which ignites motivation, matches dance steps/body postures and analyzes the performance. This study explored quantitative data by means of statistical tests validation with participants in using the phyisical training system that has facilitated in testing the dance body postures and steps. The work also adopted the user experience (UEQ) questionnaire to perform the UX evaluation. The outcome revealed favaroble results indicating the measurement score of the UEQ six scales to be in the positive range.
期刊介绍:
The Malaysian Journal of Computer Science (ISSN 0127-9084) is published four times a year in January, April, July and October by the Faculty of Computer Science and Information Technology, University of Malaya, since 1985. Over the years, the journal has gained popularity and the number of paper submissions has increased steadily. The rigorous reviews from the referees have helped in ensuring that the high standard of the journal is maintained. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. The journal is being indexed and abstracted by Clarivate Analytics'' Web of Science and Elsevier''s Scopus