Incorporating Social Practices in Dialogue Systems

Eren Yildiz, Suna Bensch, Frank Dignum

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Current dialogue management systems do not take social concepts such as norms, conventions, roles etc. into account when managing dialogues. Neither do they keep track of the personal (mental) state such as goals, needs, etc. While the data-driven approaches work quite well in some cases, they are usually domain/user dependent and not transparent. On the other hand, the rule-based methods can only work on the predefined scenarios and are not flexible in that sense. In addition, these approaches are limited to modeling only the dialogue system and do not include the human participant as part of the overall dialogue. This makes the current dialogue systems not well suited for complex and natural dialogues. In this paper, we present a dialogue management system framework that incorporates the notion of social practices as a first step to extend the type of dialogues that can be supported. The use of social practices is meant to give structure to the dialogue without restricting it to a fixed protocol. We demonstrate the use of the proposed system on a scenario between the doctor and patient roles where the doctor is a medical student and the patient is simulated by the dialogue management system.
Original languageEnglish
Title of host publicationChatbot Research and Design - 5th International Workshop, CONVERSATIONS 2021, Revised Selected Papers
EditorsA. Følstad, T. Araujo, S. Papadopoulos, E.L.-C. Law, E. Luger, M. Goodwin, P.B. Brandtzaeg
PublisherSpringer Science and Business Media Deutschland GmbH
Pages108-123
ISBN (Print)9783030948894
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021 - Virtual, Online
Duration: 23 Nov 202124 Nov 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021
CityVirtual, Online
Period23/11/2124/11/21

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