Mechanisms for Mixed-Initiative Human-Computer Collaborative Discourse
نویسنده
چکیده
In this paper, we examine mechanisms for automat ic dialogue initiative setting. We show how to incorporate initiative changing in a task-oriented human-compute r dialogue system, and we evaluate the effects of initiative both analytically and via compute r -compute r dialogue simulation. 1 Motivation: Initiative in Task-Oriented Dialogues Efficient human-compute r dialogue requires immediate ut terance-by-ut terance accommodat ion to the needs of the interaction. The part icipants must continuously focus all concerns on the goals of the task and avoid extraneous paths. This means tha t the dialogue i n i t i a t i v e should always pass immediately to the part icipant who is best able to handle the current task. An agent is said to have dialogue initiative over a mutual goal when tha t agent controls how that goal will be solved by the collaborators. In the implemented voice dialogue system "The Circuit Fix-it Shop" (Smith et al., 1992; Smith and Hipp, 1995), the dialogue fragment given in Figure 1 occurs between a human user and a computer collaborator. Utterances 2 and 4 indicate tha t the computer is directing the search for the missing wire in the faulty circuit. However, in Utterance 5 the user takes the initiative and suggests a different wire than has been proposed by the computer. In this paper we will present a theory explaining how initiative changes between participants and how computat ional agents can evaluate who should be in control of solving a goal. 2 Automat ing Dialogue Init iative Center for Digital Systems Engineering Research Triangle Institute Box 12194 Research Triangle Park, NC 27709 cig~rt±, org 1 U The LED is displaying an alternately flashing one and the top corner of a seven. 2 C There is supposed to be a wire between connector nine nine and connector one zero zero. 3 U It is there. 4 C There is supposed to be a wire between connector nine eight and connector one zero two. 5 U There is no wire on connector o n e ze ro four . [emphasis mine] 6 C There is supposed to be a wire between connector one zero four and connector one zero two. Table 1: A Dialogue Fragment in the Circuit Fix-it Shoppe Domain is in control and the other agent is passive (the master-slave assumption). For instance, in the LADDER system (Hendrix et al., 1978) the user has the initiative while the computer is passive. In contrast, the VODIS system (Young and Proctor , 1989) has the computer taking the initiative while the user is passive. Some dialogue systems (like GUS (Bobrow et al., 1977)) allow for a more mixed-initiative interaction; however, the places where the user can take the initiative are limited and defined a priori. The dialogue model of Smith (1995) allows for either the computer or the user to assume degrees of initiative; however, Smith presents no algorithm for the computer to change initiative during a dialogue. Our model of mixed-initiative dialogue allows either part icipant to be in control of the dialogue at any point in time. Like Smith (1995) we believe tha t the level of iniMany implemented dialogue systems are questiontiative in the dialogue should mirror the level of inianswer systems with fixed initiative where one agent tiative in the task (which is a corollary to Grosz's
منابع مشابه
Mixed Initiative in Dialogue: An Investigation into Discourse Segmentation
Conversation between two people is usually of MIXED-INITIATIVE, with CONTROL over the conversation being transferred from one person to another. We apply a set of rules for the transfer of control to 4 sets of dialogues consisting of a total of 1862 turns. The application of the control rules lets us derive domain-independent discourse structures. The derived structures indicate that initiative...
متن کاملUser Involvement in Collaborative Decision-Making Dialog Systems
Mixed-initiative assistants are systems that support humans in their decision-making and problem-solving capabilities in a collaborative manner. Such systems have to integrate various artificial intelligence capabilities, such as knowledge representation, problem solving and planning, learning, discourse and dialog, and human-computer interaction. These systems aim at solving a given problem au...
متن کاملSeven Aspects of Mixed-Initiative Reasoning: An Introduction to the Special Issue on Mixed-Initiative Assistants
Mixed-initiative assistants are agents that interact seamlessly with humans to extend their problem solving capabilities or provide new capabilities. Developing such agents requires the synergistic integration of many areas of AI, including knowledge representation, problem solving and planning, knowledge acquisition and learning, multi-agent systems, discourse theory, and human-computer intera...
متن کاملA Computational Model of Dialogue Initiative in Collaborative Discourse
This paper presents a model of dialogue initiative within a collaborative discourse. The importance of varying initiative between participants is validated both in theory and in experiments. For example, it was found that one initiative setting algorithm was up to 50% better than if initiative is random. Furthermore, a method for varying levels of initiative between participants is presented wh...
متن کاملExploring initiative strategies using computer simulation
We envision that next-generation spoken dialogue systems will be mixed-initiative. However, it is unclear how exactly a mixed-initiative strategy should be designed; under what circumstances should the system take the initiative, and under what circumstances should it let the user do so. The initiative strategies used in human-human conversation are a good starting point, because they are natur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1996