Improving Human-Agent Immersion using Natural Interfaces and CBR

Autores UPV
Año
Revista International Journal of Artificial Intelligence

Abstract

Multi-agent technology allows the development of current AmI applications. Specifically, a multi-agent system allows the formation and management of applications where the main components can be humans and software agents interacting and communicating with humans in order to help them in their daily activities. This kind of applications are what we call a Human-Agent Society, where agents provide services to humans or to other agents in an environment of whole integration. This paper presents a solution for the problem of human immersion presented in this kind of systems, providing the use of natural interfaces for the interaction among humans and software agents. Moreover, it is showed how the system may use some learning techniques, as CBR, to adapt its behaviour to the human requirement, improving in this way human inmersion in the system.