Elie Cattan
François Bérard
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.
Supplemental Material
- François Bérard and Renaud Blanch. 2013. Two Touch System Latency Estimators: High Accuracy and Low Overhead. In ACM ITS. ACM, 241--250. Google Scholar
Digital Library
- Elie Cattan and Francçois Bérard. 2015. Reducing Latency with a Continuous Prediction: Effects on Users' Performance in Direct-Touch Target Acquisitions. In ACM ITS. ACM. Google ScholarDigital Library
- Ricardo Jota, Albert Ng, Paul Dietz, and Daniel Wigdor. 2013. How Fast is Fast Enough? A Study of the Effects of Latency in Direct-Touch Pointing Tasks. In ACM CHI. ACM. Google ScholarDigital Library
- Jarrod Knibbe, Hrvoje Benko, and Andrew D Wilson. 2015. Juggling the Effects of Latency: Motion Prediction Approaches to Reducing Latency in Dynamic Projector-Camera Systems. Microsoft Research Technical Report MSR-TR-2015--35 (2015).Google Scholar
- Albert Ng, Michelle Annett, Paul Dietz, Anoop Gupta, and Walter F. Bischof. 2014. In the Blink of an Eye: Investigating Latency Perception During Stylus Interaction. In ACM CHI. ACM, 1103--1112. Google ScholarDigital Library
- Albert Ng, Julian Lepinski, Daniel Wigdor, Steven Sanders, and Paul Dietz. 2012. Designing for low-latency direct-touch input. In Proceedings of ACM UIST. ACM, 453--464. Google ScholarDigital Library
Index Terms
- A Predictive Approach for an End-to-End Touch-Latency Measurement
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