Semi-automatic user interface generation considering pointing granularity

San Antonio, TX(2009)

引用 15|浏览5
暂无评分
摘要
Development of GUIs (graphical user interfaces) for multiple devices is still a time-consuming and error-prone task. Each class of physical devices - and in addition each application-tailored set of physical devices - has different properties and thus needs a specifically tailored GUI. Current model-driven GUI generation approaches take only few properties into account, like screen resolution. Additional device properties, especially pointing granularity, allow generating GUIs suited for certain classes of devices like touch screens. This paper is based on a model-driven UI development approach for multiple devices based on a discourse model that provides an interaction design. Our approach generates UIs using an extended device specification and applying model transformation rules taking them into account. In particular, we show how to semi-automatically generate finger-based touch screen UIs and compare them with usual UIs for use with a mouse that have also been generated semi-automatically.
更多
查看译文
关键词
evolutionary multiobjective optimization,evolutionary computation,entire pareto front,semi-automatic user interface generation,active research area,non-dominated solution set,emo algorithm,multiobjective optimization,graphic user interface,graphical user interface,graphical user interfaces,generators,data mining,interaction design,gui
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要