A forecasting algorithm for latency compensation in indirect human-computer interactions

Rosane Ushirobira 1 Denis Efimov 1 Géry Casiez 2 Nicolas Roussel 2 Wilfrid Perruquetti 3, 1
1 NON-A - Non-Asymptotic estimation for online systems
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189, Inria Lille - Nord Europe
2 MJOLNIR - Computing tools to empower users
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : Human-computer interactions are greatly affected by the latency between the human input and the system visual response. The compensation of this latency is an important problem for the HCI (human-computer interaction) community. In this work, a simple forecasting algorithm is developed for latency compensation in indirect interaction using a mouse, based on numerical differentiation. Several differentiators are compared, including a novel algebraic version. An optimized procedure is developed for tuning the parameters of the algorithm. The efficiency is demonstrated on real data, measured with a 1 ms sampling time.
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Rosane Ushirobira, Denis Efimov, Géry Casiez, Nicolas Roussel, Wilfrid Perruquetti. A forecasting algorithm for latency compensation in indirect human-computer interactions. In proceedings of ECC'16, the 15th annual European Control Conference, Jun 2016, Aalborg, Denmark. pp.6. ⟨hal-01420653⟩

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