Using model-based reasoning for enhanced chatbot communication

Oliver A. Tazl; Franz Wotawa

doi:10.1007/978-3-030-22999-3_67

Using model-based reasoning for enhanced chatbot communication

Oliver A. Tazl^*, Franz Wotawa

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Softwaretechnologie (7160)

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Abstract

Chatbots as conversational recommender have gained increasing importance for research and practice with a lot of applications available today. In this paper, we present the methods to support conversational defaults within a human-chatbot conversation that simplifies communication with the purpose of improving the overall recommendation process. In particular, we discuss our model-based reasoning approach for easing user experience during a chat, e.g., in cases where user preferences are mentioned indirectly causing inconsistencies. As a consequence of inconsistencies, it would not be possible for the chatbot to provide answers and recommendations. The presented approach allows for removing inconsistencies during the interactions with the chatbot. Besides the basic foundations, we provide use cases from the intended tourism domain to show the simplification of the conversation process. In particular, we consider recommendations for booking hotels and planning trips.

Originalsprache	englisch
Titel	Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings
Redakteure/-innen	Franz Wotawa, Ingo Pill, Roxane Koitz-Hristov, Gerhard Friedrich, Moonis Ali
Herausgeber (Verlag)	Springer Verlag
Seiten	791-798
Seitenumfang	8
ISBN (Print)	9783030229986
DOIs	https://doi.org/10.1007/978-3-030-22999-3_67
Publikationsstatus	Veröffentlicht - 1 Jan. 2019
Veranstaltung	32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - Graz, Österreich Dauer: 9 Juli 2019 → 11 Juli 2019

Publikationsreihe

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band	11606 LNAI
ISSN (Print)	0302-9743
ISSN (elektronisch)	1611-3349

Konferenz

Konferenz	32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
Kurztitel	IEA/AIE 2019
Land/Gebiet	Österreich
Ort	Graz
Zeitraum	9/07/19 → 11/07/19

ASJC Scopus subject areas

Theoretische Informatik
Informatik (insg.)

Zugriff auf Dokument

10.1007/978-3-030-22999-3_67

Andere Dateien und Links

http://www.scopus.com/inward/record.url?scp=85068609818&partnerID=8YFLogxK

Using model-based reasoning for enhanced chatbot communication
Oliver Tazl (Redner/in)
10 Juli 2019
Aktivität: Vortrag oder Präsentation › Vortrag bei Konferenz oder Fachtagung › Science to science

Dieses zitieren

Tazl, O. A., & Wotawa, F. (2019). Using model-based reasoning for enhanced chatbot communication. in F. Wotawa, I. Pill, R. Koitz-Hristov, G. Friedrich, & M. Ali (Hrsg.), Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings (S. 791-798). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11606 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-22999-3_67

Using model-based reasoning for enhanced chatbot communication. / Tazl, Oliver A.; Wotawa, Franz.
Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings. Hrsg. / Franz Wotawa; Ingo Pill; Roxane Koitz-Hristov; Gerhard Friedrich; Moonis Ali. Springer Verlag, 2019. S. 791-798 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11606 LNAI).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Beitrag in einem Konferenzband › Begutachtung

Tazl, OA & Wotawa, F 2019, Using model-based reasoning for enhanced chatbot communication. in F Wotawa, I Pill, R Koitz-Hristov, G Friedrich & M Ali (Hrsg.), Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bd. 11606 LNAI, Springer Verlag, S. 791-798, 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, Graz, Österreich, 9/07/19. https://doi.org/10.1007/978-3-030-22999-3_67

Tazl OA, Wotawa F. Using model-based reasoning for enhanced chatbot communication. in Wotawa F, Pill I, Koitz-Hristov R, Friedrich G, Ali M, Hrsg., Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings. Springer Verlag. 2019. S. 791-798. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-22999-3_67

Tazl, Oliver A. ; Wotawa, Franz. / Using model-based reasoning for enhanced chatbot communication. Advances and Trends in Artificial Intelligence. From Theory to Practice - 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Proceedings. Hrsg. / Franz Wotawa ; Ingo Pill ; Roxane Koitz-Hristov ; Gerhard Friedrich ; Moonis Ali. Springer Verlag, 2019. S. 791-798 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Chatbots as conversational recommender have gained increasing importance for research and practice with a lot of applications available today. In this paper, we present the methods to support conversational defaults within a human-chatbot conversation that simplifies communication with the purpose of improving the overall recommendation process. In particular, we discuss our model-based reasoning approach for easing user experience during a chat, e.g., in cases where user preferences are mentioned indirectly causing inconsistencies. As a consequence of inconsistencies, it would not be possible for the chatbot to provide answers and recommendations. The presented approach allows for removing inconsistencies during the interactions with the chatbot. Besides the basic foundations, we provide use cases from the intended tourism domain to show the simplification of the conversation process. In particular, we consider recommendations for booking hotels and planning trips.",

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AB - Chatbots as conversational recommender have gained increasing importance for research and practice with a lot of applications available today. In this paper, we present the methods to support conversational defaults within a human-chatbot conversation that simplifies communication with the purpose of improving the overall recommendation process. In particular, we discuss our model-based reasoning approach for easing user experience during a chat, e.g., in cases where user preferences are mentioned indirectly causing inconsistencies. As a consequence of inconsistencies, it would not be possible for the chatbot to provide answers and recommendations. The presented approach allows for removing inconsistencies during the interactions with the chatbot. Besides the basic foundations, we provide use cases from the intended tourism domain to show the simplification of the conversation process. In particular, we consider recommendations for booking hotels and planning trips.

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Using model-based reasoning for enhanced chatbot communication

Abstract

Publikationsreihe

Konferenz

ASJC Scopus subject areas

Zugriff auf Dokument

Andere Dateien und Links

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Aktivitäten

Using model-based reasoning for enhanced chatbot communication

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