Increasing the Coverage of Clarification Responses for a Cooking Assistant

Gina E.M. Stolwijk*, Florian A. Kunneman

*Corresponding author for this work

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

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Abstract

In conversation genres like instruction, clarification questions asked by a user may either relate to the task at hand or to common-sense knowledge about the task domain, whereas most conversational agents focus on only one of these types. To learn more about the best approach and feasibility of integrating both types of questions, we experimented with different approaches for modelling and distinguishing between task-specific and common sense questions in the context of a cooking assistant. We subsequently integrated the best ones in a conversational agent, which we tested in a study with six users cooking a recipe. Even though the three elements functioned well on their own and all participants completed the recipe, question-answering accuracy was relatively low (66%). We conclude with a discussion of the aspects that need to be improved upon to cope with the diverse information need in task-based conversational agents.

Original languageEnglish
Title of host publicationChatbot Research and Design
Subtitle of host publication6th International Workshop, CONVERSATIONS 2022, Amsterdam, The Netherlands, November 22–23, 2022, Revised Selected Papers
EditorsAsbjørn Følstad, Theo Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg
PublisherSpringer Science and Business Media Deutschland GmbH
Pages171-189
Number of pages19
ISBN (Electronic)9783031255816
ISBN (Print)9783031255809
DOIs
Publication statusPublished - 2023
Event6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022 - Amsterdam, Netherlands
Duration: 22 Nov 202223 Nov 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13815 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Workshop on Chatbot Research and Design, CONVERSATIONS 2022
Country/TerritoryNetherlands
CityAmsterdam
Period22/11/2223/11/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Clarification
  • Cooking assistant
  • Natural language processing
  • User study

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