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Zero-Latency Tapping: Using Hover Information to Predict Touch Locations and Eliminate Touchdown Latency
Haijun Xia, Ricardo Jota, Benjamin McCanny, Zhe Yu, Clifton Forlines, Karan Singh, Daniel Wigdor

Abstract:
A method of reducing the perceived latency of touch input by employing a model to predict touch events before the finger reaches the touch surface is proposed. A corpus of 3D finger movement data was collected, and used to develop a model capable of three granularities at different phases of movement: initial direction, final touch location, time of touchdown. The model is validated for target distances greater than or equal to 25.5cm, and demonstrated to have a mean accuracy of 1.05cm 128ms before the user touches the screen. Preference study of different levels of latency reveals a strong preference for unperceived latency touchdown feedback. A form of ‘soft’ feedback, as well as other uses for this prediction to improve performance, is proposed.

ACM DL: http://dl.acm.org/citation.cfm?id=264...
DOI: http://dx.doi.org/10.1145/2642918.264...