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SAMIR: A Smart 3D Assistant on the Web
A current trend in modern HCI is represented by Embodied Conversational Agents (ECAs),
even designed to run on the Web. They are virtual 3D human-like front ends coupled with
software agents that are able to engage in a conversation with a user and execute complex
tasks, such as, for example, searching for some specific information or ordering some items
from the catalogue of an online shop.
This paper presents SAMIR system, a framework to build intelligent agents for the Web.
SAMIR consists of a 3D face which is animated to exploit expressions which are perceived
by the user; a custom version of the ALICE chatterbot to chat with the user; and finally an
XCS classifier system to deal with the problem of keeping conversation and face
expressions coherent with each other. Experimental results, taken from an online bookstore-based scenario, are presented at the end
SAMIR: Your 3D Virtual Bookseller
Intelligent web agents, that exhibit a complex behavior, i.e. an autonomous rather than a merely reactive one, are daily gaining popularity as they allow a simpler and more natural interaction metaphor between the user and the machine, entertaining him/ber and giving to some extent the illusion of interacting with a human-like interface. In this paper we describe SAMIR an intelligent web agent satisfying the objectives listed above. It uses: - a 3D face animated via a morph-target technique to convey expressions to be communicated to the user, - a slightly modified version of the ALICE chatterbot to provide the user with dialoguing capabilities, - an XCS classifier system to manage the consistency between conversation and the face expressions. We also show some experimental results obtained applying SAMIR to a virtual bookselling scenario, involving the well-known Amazon.com site
An Agent that Learns to Support Users of a Web Site
The terms agent, intelligent agent and 3D agent are becoming more and more frequently used in literature. A key issue in the Web community is that a web site must be equipped with a virtual agent able to support user. In this paper we propose the SAMIR system, a tool for animating 3D intelligent agents, mainly founded on a genetic algorithms based learning system, namely an XCS, and on a FFD based technique for the facial deformation of the character. SAMIR is based on an object-oriented architecture, and it adopts the MPEG-4' Facial Animation Parameters as a description format for facial expressions and animations
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