{"title":"User-Defined Body Gestures for TV-based Applications","authors":"Huiyue Wu, Jianmin Wang","doi":"10.1109/ICDH.2012.23","DOIUrl":null,"url":null,"abstract":"Present remote controls for interactive digital television (iTV) strongly limit interaction possibilities. For example they do not support the interaction style of direct manipulation. Recent advances of the marker less motion capture technology make it possible to do body gesture interaction conveniently in digital home and life, especially in TV-based applications. However, there are few established conventions in body gesture design for such applications. In this paper, we report a guess ability study on eliciting intuitive gestures from non-professional users to perform tasks in TV based applications in a setting mimicking living rooms. Our results show that consensus exists among subjects. With this study, we present a taxonomy for body gestures, an end-user gesture set, qualitative observations, and implications for gesture design. Our results will help designers create more available gesture set and bring body gesture closer to digital home applications.","PeriodicalId":308799,"journal":{"name":"2012 Fourth International Conference on Digital Home","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Digital Home","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDH.2012.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35
Abstract
Present remote controls for interactive digital television (iTV) strongly limit interaction possibilities. For example they do not support the interaction style of direct manipulation. Recent advances of the marker less motion capture technology make it possible to do body gesture interaction conveniently in digital home and life, especially in TV-based applications. However, there are few established conventions in body gesture design for such applications. In this paper, we report a guess ability study on eliciting intuitive gestures from non-professional users to perform tasks in TV based applications in a setting mimicking living rooms. Our results show that consensus exists among subjects. With this study, we present a taxonomy for body gestures, an end-user gesture set, qualitative observations, and implications for gesture design. Our results will help designers create more available gesture set and bring body gesture closer to digital home applications.