tailieunhanh - Báo cáo khoa học: "The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems"

In this paper we explore the utility of the Navigation Map (NM), a graphical representation of the discourse structure. We run a user study to investigate if users perceive the NM as helpful in a tutoring spoken dialogue system. From the users’ perspective, our results show that the NM presence allows them to better identify and follow the tutoring plan and to better integrate the instruction. It was also easier for users to concentrate and to learn from the system if the NM was present. Our preliminary analysis on objective metrics further strengthens these findings. . | The Utility of a Graphical Representation of Discourse Structure in Spoken Dialogue Systems Mihai Rotaru University of Pittsburgh Pittsburgh USA mrotaru@ Diane J. Litman University of Pittsburgh Pittsburgh USA litman@ Abstract In this paper we explore the utility of the Navigation Map NM a graphical representation of the discourse structure. We run a user study to investigate if users perceive the NM as helpful in a tutoring spoken dialogue system. From the users perspective our results show that the NM presence allows them to better identify and follow the tutoring plan and to better integrate the instruction. It was also easier for users to concentrate and to learn from the system if the NM was present. Our preliminary analysis on objective metrics further strengthens these findings. 1 Introduction With recent advances in spoken dialogue system technologies researchers have turned their attention to more complex domains . tutoring Litman and Silliman 2004 Pon-Barry et al. 2006 technical support Acomb et al. 2007 medication assistance Allen et al. 2006 . These domains bring forward new challenges and issues that can affect the usability of such systems increased task complexity user s lack of or limited task knowledge and longer system turns. In typical information access dialogue systems the task is relatively simple get the information from the user and return the query results with minimal complexity added by confirmation dialogues. Moreover in most cases users have knowledge about the task. However in complex domains things are different. Take for example tutoring. A tutoring dialogue system has to discuss concepts laws and relationships and to engage in complex subdialogues to correct user misconceptions. In addition it is very likely that users of such systems are not familiar or are only partially familiar with the tutoring topic. The length of system turns can also be affected as these systems need to make explicit the connections