{"title":"Research on Users’ Interactive Experience of Mobile Music Apps Based on Eye Tracking Test","authors":"Liu Jun, Li Yunlei, Zhang Ruizhi","doi":"10.1109/ICIDDT52279.2020.00053","DOIUrl":null,"url":null,"abstract":"Based on the measured data of eye movement, this article shifts the focus of eye movement research in interactive experience from static objects to dynamic process analysis and collects several key data on eye movement during the interaction between users and mobile devices. Therefore, this paper studies the usability of app son mobile devices based on eye tracking technology by selecting appropriate indexes of emotional user experience and eye movements. It also analyzes the homogeneity of variance with emotion as a factor and the cognitive statistics of different emotional states. In the end, the paper summarizes the relationship between level s of interaction difficulty and eye movement as well as its impact on the emotional user experience.","PeriodicalId":6781,"journal":{"name":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","volume":"30 1","pages":"252-256"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Innovation Design and Digital Technology (ICIDDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIDDT52279.2020.00053","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
Based on the measured data of eye movement, this article shifts the focus of eye movement research in interactive experience from static objects to dynamic process analysis and collects several key data on eye movement during the interaction between users and mobile devices. Therefore, this paper studies the usability of app son mobile devices based on eye tracking technology by selecting appropriate indexes of emotional user experience and eye movements. It also analyzes the homogeneity of variance with emotion as a factor and the cognitive statistics of different emotional states. In the end, the paper summarizes the relationship between level s of interaction difficulty and eye movement as well as its impact on the emotional user experience.