Recently there has been increasing attention to character recognition/graphical user interfaces under the name of "gesture input". This technique actually has a long history: "sketch recognition" interfaces of 15 or more years ago were highly praised [Applicon 73], and user interfaces using handwriting input before the wide use of text keyboards were one of the first research goals in computer science [Bledsoe 59]. The underlying character and symbol recognition technologies have been a major research area in their own right since the early 1950s [Suen 80].
rnThe last two years have seen an upsurge in the number of developments in this area, both from commercial companies attempting to exploit new character and symbol recognition technologies, [CIC 85] [Pencept 84] [Cooper 82] and from researchers starting from fundamental questions in user interactions [Buxton 86] [Wolf 86]. However, one question still remains: "Why has this set of techniques had so little impact on user interface design practice, despite its long history and promise?" This panel discussion should give many answers to this question.
rnPanelists include the leading commercial developers of handwriting input products, well-known researchers in the psychological aspects of graphical user interactions, and representatives of the research community for character recognition.
rnThe issue of supporting this type of interface is very timely: recent standardization efforts such as PHIGS and GKS for graphics interactions are known to have the unfortunate side effects of excluding some of the current user interface designs using this class of technology [10].
最近,以“手势输入”为名的字符识别/图形用户界面越来越受到关注。该技术实际上具有悠久的历史:15年前或更早的“草图识别”界面受到高度赞扬[Applicon 73],在广泛使用文本键盘之前使用手写输入的用户界面是计算机科学的第一个研究目标之一[布莱德索59]。自1950年代初以来,基本的字符和符号识别技术就一直是主要的研究领域[Suen 80]。 P> rn
最近两年来,该领域的开发数量激增既来自尝试开发新字符和符号识别技术的商业公司[CIC 85] [Pencept 84] [Cooper 82],也来自研究人员,他们从用户交互中的基本问题开始[Buxton 86] [Wolf 86]。但是,仍然存在一个问题:“尽管具有悠久的历史和前途,为什么这套技术对用户界面设计实践的影响如此之小?”该小组讨论将为该问题提供许多答案。 P> rn
小组成员包括手写输入产品的领先商业开发人员,图形用户交互的心理方面的知名研究人员以及针对该问题的研究社区的代表。字符识别。 P> rn
支持这种类型的界面的问题非常及时:最近的标准化工作(例如用于图形交互的PHIGS和GKS)具有排除某些当前用户界面的不幸副作用。使用此类技术进行设计[10]。 P>
George Washington University;
Nestor Inc.;
SRI International CIC;
AEG Research Institute;
IBM/Thomas J. Watson Research Center;
Pencept, Inc.;
机译:在线中文手写字符识别:与日语汉字识别的比较和输入效率的提高
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