{"title":"Design and Application of Scenario-Based Perception of Smart Wearable Device Interaction Method","authors":"Guanglin Chen","doi":"10.3991/ijim.v18i13.49071","DOIUrl":null,"url":null,"abstract":"At the moment, Internet technology is still in a rapid development phase, with more highperformance, low-power processor chips entering the market and the commercialization of the smart wearable device industry accelerating. Virtual reality, intelligent clouds, and other technologies are at the heart of today’s wearable technologies. It is a design product that employs cutting-edge technology to provide sturdy functioning and superior safety. However, the current study on smart wearable devices is more related to engineering technology, and there is relatively little research on the interaction behavior and user experience among users, devices, and environments. Incorporating the design object, application context, user experience, and other factors into the design of smart wearable devices can help promote the transformation of smart wearable devices from technology-driven to user experience-driven. Therefore, it is important to introduce the concepts of context-awareness and interaction design in the design of smart wearable devices. Through contextual cognitive theory, the study studies the contextual cognitive features of users, deconstructs and analyzes the interaction and experience of smart wearable devices, and discovers the relevant elements influencing user experience. The theoretical research results are then integrated with the interaction design system to connect the relationships among users, behaviors, scenes, and technologies, and a context-aware system for smart wearable devices based on scene perception is constructed. The influence of different aspects on the recognition accuracy of the system is analyzed, and the results show that the system proposed in this paper has very superior performance in gesture recognition.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"1 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Interactive Mobile Technologies (iJIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/ijim.v18i13.49071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
At the moment, Internet technology is still in a rapid development phase, with more highperformance, low-power processor chips entering the market and the commercialization of the smart wearable device industry accelerating. Virtual reality, intelligent clouds, and other technologies are at the heart of today’s wearable technologies. It is a design product that employs cutting-edge technology to provide sturdy functioning and superior safety. However, the current study on smart wearable devices is more related to engineering technology, and there is relatively little research on the interaction behavior and user experience among users, devices, and environments. Incorporating the design object, application context, user experience, and other factors into the design of smart wearable devices can help promote the transformation of smart wearable devices from technology-driven to user experience-driven. Therefore, it is important to introduce the concepts of context-awareness and interaction design in the design of smart wearable devices. Through contextual cognitive theory, the study studies the contextual cognitive features of users, deconstructs and analyzes the interaction and experience of smart wearable devices, and discovers the relevant elements influencing user experience. The theoretical research results are then integrated with the interaction design system to connect the relationships among users, behaviors, scenes, and technologies, and a context-aware system for smart wearable devices based on scene perception is constructed. The influence of different aspects on the recognition accuracy of the system is analyzed, and the results show that the system proposed in this paper has very superior performance in gesture recognition.