Automatic and Intelligent Composition of Pervasive Applications

Delcourt, Kévin; Adreit, Françoise; Arcangeli, Jean‐Paul; Hacid, Kahina; Trouilhet, Sylvie; Younes, W.

doi:10.1109/percomworkshops51409.2021.9430950

Cited by 2 publications

(1 citation statement)

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“…However, the solution takes into account the human user in a limited way, over-stressing them. • As preliminary work, I published a demonstration of our solution's prototype in a controlled ambient environment [5], also available as a video 1 . • In order to present composite applications to an end-user in an understandable way, we developed a domain-specific language, and a tool allowing for a user to have access to several views of the application [14].…”

Section: Project Statusmentioning

confidence: 99%

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

2020

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In order to manage the ever-growing number of devices present in modern and future ambient environments, as well as their dynamics and openness, we aim to propose a distributed multi-agent system that learns, in interaction with a human user, what would be their preferred applications given the services available.The goal of this Ph.D. thesis is to focus on the interaction between a reinforcement learning system and the human user, to improve the system's learning capabilities as well as the user's ease with the system, and ultimately build a working prototype, usable by end-users.

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Section: Project Statusmentioning

confidence: 99%

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

2020

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Self-Organizing and Self-Explaining Pervasive Environments by Connecting Smart Objects and Applications

2022

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In the past decade, pervasive environments have progressed from promising research concepts to available products present in our everyday lives. By connecting multiple smart objects, device ensembles can be formed to assist users in performing tasks. Furthermore, smart objects can be used to control applications, that, in turn, can be used to control other smart objects. As manual configuration is often time-consuming, an automatic connection of the components may present a useful tool, which should take various aspects into account. While dynamically connecting these components allows for solutions tailored to the needs and respective tasks of a user, it obfuscates the handling and ultimately may decrease usability. Self-descriptions have been proposed to overcome this issue for ensembles of smart objects. For a more extensive approach, descriptions of applications in pervasive environments need to be addressed as well. Based on previous research in the context of self-explainability of smart objects, we propose a description language as well as a framework to support self-explaining ambient applications (applications that are used within smart environments). The framework can be used to manually or automatically connect smart objects as well as ambient applications and to realize self-explainability for these interconnected device and application ensembles.

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Automatic and Intelligent Composition of Pervasive Applications

Cited by 2 publications

References 3 publications

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Self-Organizing and Self-Explaining Pervasive Environments by Connecting Smart Objects and Applications

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