Gaëtan Pruvost

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As the vision of ubiquitous computing becomes reality, there is a possibility for user interfaces that follow the user through the physical world by jumping between local display devices. This paper presents previous attempts at this functionality and identifies their limitations. Justified by these limitations, we then present our novel method that uses(More)
Location-aware ambient environments are relevant in designing interactive virtual characters. However, they raise several questions about spatial behaviors to be displayed by virtual characters, and about the perception of virtual characters by users. We designed a location-aware virtual agent that adapts its spatial behavior to users' and objects'(More)
This article describes our approach towards the specification and realization of interoperability within Next Generation Ambient Intelligent Environments (NGAIE). These are populated with numerous devices and multiple occupants or users exhibit increasingly intelligent behaviour, provide optimized resource usage and support consistent functionality and(More)
In the context of the EU funded R&D project ATRACO we are developing a conceptual framework and a system architecture that will support the realization of adaptive and trusted ambient intelligent systems. Our approach is based on a number of well established engineering principles, such as the distribution of control and the separation of service(More)
Inputs and outputs are not two independent phenomena in multimodal systems. This paper examines the relationship that exists between them. We present the results of a Wizard of Oz experiment which shows that output modalities used by the system have an influence on the users’ input modalities for a large category of users. The experiment took place in a(More)
In this paper we describe the ATRACO (Adaptive and TRusted Ambient eCOlogies) approach towards next generation ambient intelligent environments. Several agents, such as a Fuzzy Task Agent with learning capabilities and an Interaction Agent collaborate in a goal-related Activity Sphere and adapt heterogeneous artifacts within the sphere in order to support(More)