{"title":"Including multi-stroke gesture-based interaction in user interfaces using a model-driven method","authors":"Otto Parra Gonzalez, Sergio España, Ó. Pastor","doi":"10.1145/2829875.2829931","DOIUrl":null,"url":null,"abstract":"Technological advances in touch-based devices now allow users to interact with information systems in new ways, being gesture-based interaction a popular new kid on the block. Many daily tasks can be performed on mobile devices and desktop computers by applying multi-stroke gestures. Scaling up this type of interaction to bigger information systems and software tools entails difficulties, such as the fact that gesture definitions are platform-specific and this interaction is often hard-coded in the source code and hinders their analysis, validation and reuse. In an attempt to solve this problem, we here propose gestUI, a model-driven approach to the multi-stroke gesture-based user interface development. This system allows modelling gestures, automatically generating gesture catalogues for different gesture-recognition platforms, and user-testing the gestures. A model transformation automatically generates the user interface components that support this type of interaction for desktop applications (further transformations are under development). We applied our proposal to two cases: a form-based information system and a CASE tool. We include details of the underlying software technology in order to pave the way for other research endeavours in this area.","PeriodicalId":137603,"journal":{"name":"Proceedings of the XVI International Conference on Human Computer Interaction","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XVI International Conference on Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2829875.2829931","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Technological advances in touch-based devices now allow users to interact with information systems in new ways, being gesture-based interaction a popular new kid on the block. Many daily tasks can be performed on mobile devices and desktop computers by applying multi-stroke gestures. Scaling up this type of interaction to bigger information systems and software tools entails difficulties, such as the fact that gesture definitions are platform-specific and this interaction is often hard-coded in the source code and hinders their analysis, validation and reuse. In an attempt to solve this problem, we here propose gestUI, a model-driven approach to the multi-stroke gesture-based user interface development. This system allows modelling gestures, automatically generating gesture catalogues for different gesture-recognition platforms, and user-testing the gestures. A model transformation automatically generates the user interface components that support this type of interaction for desktop applications (further transformations are under development). We applied our proposal to two cases: a form-based information system and a CASE tool. We include details of the underlying software technology in order to pave the way for other research endeavours in this area.