Mixed-initiative
Interaction
Papers
by Curry Guinn
·
Efficient
Collaborative Discourse: A Theory and its Implementation, with Alan Biermann,
D. Richard Hipp, and Ronnie Smith in ARPA
Workshop on Human Language Technology, Princeton, NJ, March 1993.
Abstract: An architecture for
voice dialogue machines is described with emphasis on the
problem solving and high level decision making
mechanisms. The architecture provides facilities for generating voice
interactions aimed at cooperative human-machine problem solving. It assumes that
the dialogue will consist of a series of local self-consistent subdialogues each aimed at subgoals related to the
overall task. The discourse may consist of a set of such subdialogues
with jumps from one subdialogue to the other in a
search for a successful conclusion. The architecture maintains a user model
to assure that interactions properly account for the level of competence of
the user, and it includes an ability for the machine to take the initiative
or yield the initiative to the user. It uses expectation from the dialogue
processor to aid in the correction of errors from the speech recognizer. ·
A
Computational Model of Dialogue Initiative in Collaborative Discourse, in Human-Computer
Collaboration: Reconciling Theory, Synthesizing Practice, Technical
Report FS-93-05, The AAAI Press, 1993. (pdf) .
Abstract: 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 which relies on a relatively simple user model. ·
Maximally
Efficient Dialogue Mode Algorithm, in Knowledge-Based Systems,
7(4):277-8, December, 1994.
·
Mechanisms
for Mixed-Initiative Human-Computer Collaborative Discourse, in Proceedings
of the 34th Annual Meeting of the Association for Computational Linguistics ,
1996. (pdf)
Abstract: In this paper, we
examine mechanisms for automatic dialogue intiative
setting. We show how to incorporate initiative changing in a task-oriented
human-computer dialogue system, and we evaluate the effects of intiative both analytically and via computer-computer
dialogue simulation. ·
Goal-Oriented
Multimedia Dialogue with Variable Initiative, with Alan W. Biermann, Michael
S. Fulkerson, Greg A. Keim, Zheng Liang, Douglas M. Melamed, Krishnan
Rajagopalan, in International Symposium on Methodologies for Intelligent
Systems, pp. 1-16, 1997.
Abstract: Tutorial dialogue
offers several interesting challenges to mixed-initiative dialogue systems.
In this paper, we outline some distinctions between tutorial dialogues and
the more familiar task-oriented dialogues, and how these differences might
impact our ideas of focus and initiative. In order to
ground discussion, we describe our current dialogue system, the Duke
Programming Tutor. Through this system, we present a temperature-based model
and algorithm which provide a basis for making decisions about dialogue focus
and initiative. ·
An
Analysis of Initiative Selection in Collaborative Task-Oriented Discourse, User
Modeling and User-adapted Interaction, Vol 8(3-4):255-314, 1998. Also
published in Computational Models of Mixed-Initiative Interaction,
editors, S. Haller, S. McRoy, and A. Kobsa, Kluwer
Academic Publishers, pp. 89-148, 1999. (abstract) , (pdf)
Abstract: In this paper we
propose a number of principles and conjectures for
mixed-initiative collaborative dialogs. We explore some methodologies for
managing initiative between conversational participants. We mathematically
analyze specific initiative-changing mechanisms based on a probabilistic
knowledge base and user model. We look at the role of negotiation in managing
initiative quantify how the negotiation process is useful toward modifying
user models. Some experimental results using computer--computer simulations are presented along with some
discussion of how such studies are useful toward building human--computer
systems. ·
Evaluating
Mixed-Initiative Dialog, IEEE Intelligent Systems , Volume 14, Number 5, pp.
21-23, 1999. (pdf)
Abstract: Researchers in
mixed-initiative interaction are trying to make computers
be collaborators with their human users. In this two-way information
exchange, the computer can do some tasks better alone, some tasks require
joint work, and some tasks are better done by the human user. The challenge
is to define computation models of how initiative is or should be controlled
in a dialog. |