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Conference Papers Year : 2018

TurboMouse: End-to-end Latency Compensation in Indirect Interaction

Abstract

End-to-end latency corresponds to the temporal difference between a user input and the corresponding output from a system. It has been shown to degrade user performance in both direct and indirect interaction. If it can be reduced to some extend, latency can also be compensated through software compensation by trying to predict the future position of the cursor based on previous positions, velocities and accelerations. In this paper, we propose a hybrid hardware and software prediction technique specifically designed for partially compensating end-to-end latency in indirect pointing. We combine a computer mouse with a high frequency accelerometer to predict the future location of the pointer using Euler based equations.
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Dates and versions

hal-01726763 , version 1 (08-03-2018)

Identifiers

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Axel Antoine, Sylvain Malacria, Géry Casiez. TurboMouse: End-to-end Latency Compensation in Indirect Interaction. Adjunct Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), Demonstration, Apr 2018, Montreal, Canada. ⟨10.1145/3170427.3186542⟩. ⟨hal-01726763⟩
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