A Predictive Approach for an End-to-End Touch-Latency Measurement
Author:
Funder
LabEx PERSYVAL-Lab
Publisher
ACM Press
Reference6 articles.
1. François Bérard and Renaud Blanch. 2013. Two Touch System Latency Estimators: High Accuracy and Low Overhead. In ACM ITS. ACM, 241--250.
2. 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.
3. 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.
4. 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).
5. 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.
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