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作 者:辛义忠[1] 姜欣慧 李岩[2] 李洋[1] Xin Yizhong;Jiang Xinhui;Li Yan;Li Yang(School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870;Department of Sports Information Technology, Shenyang Sport University, Shenyang 110102)
机构地区:[1]沈阳工业大学信息科学与工程学院,沈阳110870 [2]沈阳体育学院体育信息技术系,沈阳110102
出 处:《计算机辅助设计与图形学学报》2017年第9期1725-1733,共9页Journal of Computer-Aided Design & Computer Graphics
基 金:国家自然科学基金(61100091);辽宁省高等学校杰出青年学者成长计划(LJQ2012007);教育部留学回国人员科研启动基金([2013]693);沈阳工业大学青年学术骨干教师培养项目([2011]41);沈阳工业大学博士科研启动基金项目([2011]30)
摘 要:针对单手情况下笔的输入能力有限、触控输入精确度低且存在手指遮挡等问题,为了发挥笔和触控各自的优势,提出面向惯用手的笔+触控输入技术.首先设计和展开目标装入实验,分析了笔和触控输入的性能特点.然后结合绘图场景,提出顺序法、交叠法和并行法3种面向惯用手的笔+触控混合输入技术,以及用作对比的按钮法参考技术,并通过实验考察了4种输入技术的性能,结果表明,笔在小目标操作的精度和速度上优于触控;相比于按钮法,交叠法在操作时间和轨迹偏移量方面分别减少了15.9%和0.2%;并行法在时间和偏移量方面分别增加了25.6%和40.5%;顺序法在操作时间方面增加了11.2%,但是在偏移量方面减少了12.8%.最后给出了各种不同混合输入技术的应用场景,对面向惯用手的笔+触控交互和用户界面设计具有指导意义.Limit capacity for pen input,low accuracy and finger occlusion for touch input exist in single-handed input situations.To take advantage of pen and touch input,pen+touch input techniques were proposed to improve the dominant-handed input.First,a target docking experiment was designed and carried out to analyze the characteristics of pen and touch inputs.Then,3pen+touch input techniques,which were Sequence,Overlap and Parallel,were proposed in drawing scenario.Moreover,Button-click was also proposed as a reference technique for comparison.Comparative experiment was conducted to investigate the performance of the4techniques.Results showed that,for small targets,pen performed better than touch on accuracy and speed.Compared to Button-click,Overlap reduced the operation time and trajectory offset by15.9%and0.2%;Parallel increased the operation time and trajectory offset by25.6%and40.5%respectively;Sequence increased the operation time by11.2%,but reduced the trajectory offset by12.8%.Finally,the application scenarios of these techniques were given,which is instructive to dominant-handed pen+touch interaction and user interface design.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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