Generating Information-Sharing Subdialogues in Expert-User Consultation

TL;DR

This paper introduces a computational model for initiating and managing information-sharing subdialogues in expert-user consultations to resolve uncertainties and improve decision-making.

Contribution

It presents a novel strategy for determining when and how to initiate information-sharing subdialogues, including handling embedded subdialogues, to enhance dialogue effectiveness.

Findings

Model effectively identifies when to share information

Successfully manages embedded subdialogues

Improves proposal acceptance decisions

Abstract

In expert-consultation dialogues, it is inevitable that an agent will at times have insufficient information to determine whether to accept or reject a proposal by the other agent. This results in the need for the agent to initiate an information-sharing subdialogue to form a set of shared beliefs within which the agents can effectively re-evaluate the proposal. This paper presents a computational strategy for initiating such information-sharing subdialogues to resolve the system's uncertainty regarding the acceptance of a user proposal. Our model determines when information-sharing should be pursued, selects a focus of information-sharing among multiple uncertain beliefs, chooses the most effective information-sharing strategy, and utilizes the newly obtained information to re-evaluate the user proposal. Furthermore, our model is capable of handling embedded information-sharing subdialogues.