Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

A Joint Intention-Based Dialogue Engine

Rajah Annamalai Subramanian (1,2), Philip Cohen (1)

(1) Natural Interaction Systems, USA
(2) Department of Computer Science and Engineering, Oregon Health and Sciences University, USA

In this paper we discuss some of the advantages of using a joint intention-based interpreter for building spoken dialogue systems. We describe STAPLE [1], a joint-intention interpreter that enables a system to obtain team and communicative behavior automatically without having to program this behavior explicitly. With this approach there is no necessity for a programmer to indicate when a question should be posed, when information should be shared etc. The interpreter enables the agents to exhibit team-oriented dialogue by interpreting the constructs of Joint Intention Theory (JIT) along with first principles reasoning over a formal semantics of communicative acts [2, 3]. We try to show that STAPLE can subsume and extend the finite-state and frame-based dialogue approaches available today from commercial dialogue systems. In particular, we show how STAPLE can handle over-answering, dynamic environment changes and teamwork in a general domain independent manner.

Full Paper

Bibliographic reference.  Subramanian, Rajah Annamalai / Cohen, Philip (2006): "A joint intention-based dialogue engine", In INTERSPEECH-2006, paper 1843-Wed2WeS.5.