INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Human performance modeling in temporary segmentation Chinese character handwriting recognizers
International Journal of Human-Computer Studies
Time-out in user interface: the case of mobile text input
Personal and Ubiquitous Computing
Design and analysis of delimiters for selection-action pen gesture phrases in scriboli
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Experimental analysis of mode switching techniques in pen-based user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Immediate user performances with touch Chinese text entry solutions on handheld devices
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Multi-stroke freehand text entry method using OpenVG and its application on mobile devices
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
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Handwriting recognition (HWR) input method has been considered to be one of the most usable text entry methods for handheld devices, especially for languages with large and complicated character sets such as Chinese. The paper studies stroke break times within handwritten characters and presents a new method for setting HWR timeout by examining the break time distributions. For multi-stroke character HWR input, a timeout is widely used as a segmentation technique to initiate the recognition process. In this paper, we examine the largest stroke break time in each character and explore the relationship between break time distribution and optimal HWR timeout. The study used Chinese as test material and the test independent variables were writing condition (input box, full screen) and user's posture while they were writing (hold device in hand, keep device on table). The main findings are: (1) the stroke break times are similar in full screen and input box conditions, though the users tend to write larger characters in full screen condition. (2) The stroke break times fit into a tight distribution. It is feasible to estimate optimal HWR timeout by studying stoke break time distribution. A nonparametric histogram method was used to model the stroke break distributions and it showed that typical Chinese HWR default timeouts are around 99% percentile in the distribution. (3) Differences in HWR stroke break distributions are very significant between individual users. The stroke break time analysis can also be applied to design HWR timeout customization scale.