@inproceedings{xuetao_intelligent_2009,
	address = {Algarve, Portugal},
	title = {Intelligent Assisting Conversational Agents viewed through Novice Users' Requests},
	isbn = {978-972-8924-85-0},
	abstract = {Assisting Conversational Agents are Embodied Conversational Agents dedicated to the Function of Assistance for applications and services to the general public, especially on the Internet. We have developed a web-based framework to experiment with assisting agents regarding the key issue of believability, and where good Natural Language Understanding is a primary concern. Now, we are confronted with the difficult issue of the cost of developing and customizing Natural Language Processing tools {(NLP-tools)} for each new assisted application. In this paper, we propose an approach which is a tradeoff between complex dialogue systems and naive chatbot systems. We think that our approach is worth considering because it focuses on a concise and well circumscribed linguistic domain: the domain of Assistance Requests that we captured by registering a corpus, in various contexts with ordinary people placed in front of Assisting Conversational Agents.},
	booktitle = {Proc. of Interfaces and {Human-Computer} Interaction 2009},
	publisher = {{IADIS} Press},
	author = {Mao Xuetao and {Jean-Paul} Sansonnet and François Bouchet},
	editor = {Katherine Blashki},
	month = jun,
	year = {2009},
	keywords = {assisting conversational agents, eliciting user requirements, natural language processing},
	pages = {37--44}
}