de Rosis Fiorella, Novielli Nicole, Carofiglio Valeria, Cavalluzzi Addolorata, De Carolis Berardina
Department of Informatics, University of Bari, Italy.
J Biomed Inform. 2006 Oct;39(5):514-31. doi: 10.1016/j.jbi.2006.01.001. Epub 2006 Feb 20.
In this paper, we describe our experience with the design and implementation of an embodied conversational agent (ECA) that converses with users to change their dietary behavior. Our intent is to develop a system that dynamically models the agent and the user and adapts the agent's counseling dialog accordingly. Towards this end, we discuss our efforts to automatically determine the user's dietary behavior stage of change and attitude towards the agent on the basis of unconstrained typed text dialog, first with another person and then with an ECA controlled by an experimenter in a wizard of Oz study. We describe how the results of these studies have been incorporated into an algorithm that combines the results from simple parsing rules together with contextual features using a Bayesian network to determine user stage and attitude automatically.
在本文中,我们描述了设计和实现一个具身对话代理(ECA)的经验,该代理与用户交谈以改变他们的饮食行为。我们的目的是开发一个系统,该系统能动态地对代理和用户进行建模,并相应地调整代理的咨询对话。为此,我们讨论了我们的努力,即首先在与另一个人的无约束文本对话中,然后在“奥兹巫师”研究中由实验者控制的ECA对话中,基于无约束的文本对话自动确定用户饮食行为的改变阶段和对代理的态度。我们描述了如何将这些研究结果整合到一个算法中,该算法使用贝叶斯网络将简单解析规则的结果与上下文特征相结合,以自动确定用户阶段和态度。