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多媒体终端上新型压力交互范式研究

Research on a pressure-based interaction paradigm for multimedia terminal

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【作者】 秦贵和王曼莹孙铭会

【Author】 QIN Gui-he;WANG Man-ying;SUN Ming-hui;Collage of Computer Science and Technology, Jilin University;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University;FAW-Volkswagen Automotive Company Ltd.;

【通讯作者】 孙铭会;

【机构】 吉林大学计算机科学与技术学院吉林大学符号计算与知识工程教育部重点实验室一汽大众汽车有限公司

【摘要】 针对移动终端上压力交互提出一种新型界面范式LWHP,并通过Bayes方法推理用户交互意图,优化压力空间划分。LWHP范式采用三维办公桌隐喻,包含图层(Layer),部件(Widget)、层级菜单(Hierarchical Menu)和压力手势(Pressure+Gesture)4个组成要素。基于用户历史输入的Bayes层级菜单分层优化算法,结合压力信号、交互特征(时间和跨越选项次数)和情境信息对用户意图分析解释,优化压力空间划分方式,提高交互准确性和自然性。最后,通过一个基于LWHP范式的相册交互场景阐述其应用和相关部件设计。

【Abstract】 The pressure-and multi-touch-based smartphone user interface uses multiple interaction techniques to improve input efficiency and reduce finger fatigue. With wide application prospect, it can enhance natural interaction and using experience between human and smartphone, which makes it simple to use. For interactions on pressure-and multi-touch-based smartphone user interface, aiming at the problems of lacking relevant graphic user interface paradigms and the limits of the existing paradigms, a new interface paradigm called LWHP for interaction on the mobile devices, and an algorithm predicting users’ input intent and optimizing the division for pressure space using Bayesian method are presented. In LWHP paradigm, L means Layer, W means Widget, H means Hierarchical Menu, and P means Pressure+Gesture. Compared with WIMP paradigm, LWHP paradigm is designed on the desk metaphor, which extends the desktop metaphor from two dimensions to three dimensions, which decreases users’ cognitive and learning load by imitating daily scenes and real working environment. Considering the different habit between individuals when interacting by pressure, the division of pressure spaces should be finer-adjusted according to their previous input. The optimizing algorithm collects the pressure signals, the properties of user behavior(Movement Time and Number of Crossings), and the environmental information, and uses Bayesian method to interpret and predict users’ input, which improves the accuracy and enhances natural interaction.At the end, a pressure-based album application designed with LWHP paradigm is described to illustrate how the new paradigm is applied and the advantages of these pressure-based components.

【基金】 国家自然科学基金面上项目(61872164);吉林省科技发展计划项目(20220201147GX);中央高校基本科研业务费专项项目(2022-JCXK-02)
  • 【文献出处】 吉林大学学报(工学版) ,Journal of Jilin University(Engineering and Technology Edition) , 编辑部邮箱 ,2023年11期
  • 【分类号】TP11
  • 【下载频次】164
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