作者: Heejin Jeong , Yili Liu
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摘要: Although swiping (also called flicking) is one of the commonly used touchscreen gestures, few modeling studies have been conducted. In this paper, a computational model that focuses on swipe gestures was developed by extending QN-MHP (Queuing Network-Model Human Processor) architecture. The assumed swiped-route follows three-dimensional path. To finger gesture, an operator (i.e., “Swipe-with-finger”) for Queuing Network Cognitive Architecture using existing regression equation predicting movement time in 3D space (Cha and Myung, 2013). validated with two corresponding experimental results literature. As result, times generated were well fit human subject data.