A Predictive Approach for an End-to-End Touch-Latency Measurement

Abstract : With direct-touch interaction, users are sensitive to very low levels of latency, in the order of a few milliseconds. Assessing the end-to-end latency of a system is thus becoming an important part of touch-devices evaluation, and this must be precise and accurate. However, current latency estimation techniques are either imprecise, or they require complex setups involving external devices such as high-speed cameras.In this paper, we introduce and evaluate a novel method that does not require any external equipment and can be implemented with minimal efforts. The method is based on short-term prediction of the finger movement. The latency estimation is obtained on the basis of user calibration of the prediction to fully compensate the lag. In a user study, we show that the technique is more precise than a similar "low overhead'' approach that was recently presented.
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Contributor : Amélie Rochet-Capellan <>
Submitted on : Wednesday, December 9, 2015 - 3:52:32 PM
Last modification on : Thursday, October 11, 2018 - 8:48:02 AM


  • HAL Id : hal-01240837, version 1


Elie Cattan, Amélie Rochet-Capellan, François Bérard. A Predictive Approach for an End-to-End Touch-Latency Measurement. 2015 ACM International Conference on Interactive Tabletops and Surfaces, Nov 2015, Madère, Portugal. ⟨hal-01240837⟩



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