Skip to main content
SpringerLink
Log in

Evaluating a Spoken Argumentative Dialogue System

  • Conference paper
  • First Online:
Social Computing and Social Media (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14026))

Included in the following conference series:

  • 577 Accesses

Abstract

A natural way for humans to build an opinion on a topic is through the gathering and exchange of new arguments. Speech interfaces for argumentative dialogue systems (ADS) are rather scarce and quite complex. To provide a more natural and intuitive interface, we include an adaption of a recently introduced natural language understanding (NLU) framework tailored to argumentative tasks into a complete end-to-end ADS. Within this paper we investigate the influence of two different input/output modalities (speech/speech and drop-down menu/text) and discuss issues and problems we encountered in a user study with 202 participants using our ADS.

This work has been funded by the DFG within the project “BEA - Building Engaging Argumentation”, Grant no. 313723125, as part of the Priority Program “Robust Argumentation Machines (RATIO)” (SPP-1999).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://idebate.org/debatabase (last accessed 23th February 2022).

    Material reproduced from www.iedebate.org with the permission of the International Debating Education Association. Copyright © 2005 International Debate Education Association. All Rights Reserved.

  2. 2.

    https://pypi.org/project/SpeechRecognition/, last accessed 19.09.2022.

  3. 3.

    Such questionnaires can be used to evaluate the quality of speech-based services.

References

  1. Abro, W.A., Aicher, A., Rach, N., Ultes, S., Minker, W., Qi, G.: Natural language understanding for argumentative dialogue systems in the opinion building domain. Knowl.-Based Syst. 242, 108318 (2022), ISSN 0950–7051. https://www.sciencedirect.com/science/article/pii/S0950705122001149

  2. Aicher, A., Rach, N., Minker, W., Ultes, S.: Opinion building based on the argumentative dialogue system BEA. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds.) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. LNEE, vol. 714, pp. 307–318. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-9323-9_27

    Chapter  Google Scholar 

  3. Amgoud, L., Ben-Naim, J.: Evaluation of arguments from support relations: axioms and semantics. In: Proceedings of the 25th International Joint Conference on Artificial Intelligence, IJCAI-16, pp. 900–906 (2016). https://www.ijcai.org/Proceedings/16/Papers/132.pdf

  4. Amgoud, L., Ben-Naim, J.: Weighted bipolar argumentation graphs: axioms and semantics. In: Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, pp. 5194–5198 (2018)

    Google Scholar 

  5. Bechhofer, S.: Owl: Web ontology language. In: Encyclopedia of Database Systems, pp. 2008–2009, Springer, Boston (2009). https://doi.org/10.1007/978-0-387-39940-9_1073

  6. Chalaguine, L., Hunter, A.: Addressing popular concerns regarding COVID-19 vaccination with natural language argumentation dialogues. In: Vejnarová, J., Wilson, N. (eds.) ECSQARU 2021. LNCS (LNAI), vol. 12897, pp. 59–73. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86772-0_5

    Chapter  MATH  Google Scholar 

  7. Chalaguine, L.A., Hunter, A.: A persuasive chatbot using a crowd-sourced argument graph and concerns. In: COMMA (2020)

    Google Scholar 

  8. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (Long and Short Papers), pp. 4171–4186. Association for Computational Linguistics, Minneapolis (2019)

    Google Scholar 

  9. Fazzinga, B., Galassi, A., Torroni, P.: An argumentative dialogue system for COVID-19 vaccine information. In: Baroni, P., Benzmüller, C., Wáng, Y.N. (eds.) CLAR 2021. LNCS (LNAI), vol. 13040, pp. 477–485. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-89391-0_27

    Chapter  Google Scholar 

  10. Hadoux, E., Hunter, A., Polberg, S.: Strategic argumentation dialogues for persuasion: framework and experiments based on modelling the beliefs and concerns of the persuadee. Argum. Comput. 14, 1–53 (2022). https://doi.org/10.3233/AAC-210005

  11. Le, D.T., Nguyen, C.T., Nguyen, K.A.: Dave the debater: a retrieval-based and generative argumentative dialogue agent. In: Proceedings of the 5th Workshop on Argument Mining, pp. 121–130 (2018). https://www.aclweb.org/anthology/W18-5215

  12. McKnight, P.E., Najab, J.: Mann-Whitney U Test, pp. 1–1. American Cancer Society (2010). ISBN 9780470479216

    Google Scholar 

  13. P.851, I.T.R.: Subjective quality evaluation of telephone services based on spoken dialogue systems (11/2003). International Telecommunication Union (Nov 2003)

    Google Scholar 

  14. Rach, N., Langhammer, S., Minker, W., Ultes, S.: Utilizing argument mining techniques for argumentative dialogue systems. In: Proceedings of the 9th International Workshop On Spoken Dialogue Systems (IWSDS) (May 2018)

    Google Scholar 

  15. Rakshit, G., Bowden, K.K., Reed, L., Misra, A., Walker, M.A.: Debbie, the debate bot of the future. In: Advanced Social Interaction with Agents - 8th International Workshop on Spoken Dialog Systems, pp. 45–52 (2017)

    Google Scholar 

  16. Rosenfeld, A., Kraus, S.: Strategical argumentative agent for human persuasion. In: ECAI’16, pp. 320–328 (2016)

    Google Scholar 

  17. Saha, T., Saha, S., Bhattacharyya, P.: Towards sentiment-aware multi-modal dialogue policy learning. Cogn. Comput, pp. 1–15 (11 2020)

    Google Scholar 

  18. Slonim, N., et al.: An autonomous debating system. Nature 591(7850), 379–384 (2021)

    Article  Google Scholar 

  19. Stab, C., Gurevych, I.: Annotating argument components and relations in persuasive essays. In: COLING, pp. 1501–1510 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Communications Engineering, Ulm University, Albert-Einstein-Allee 43, 89081, Ulm, Germany

    Annalena Aicher & Wolfgang Minker

  2. Quality and Usability Lab, TU Berlin, Ernst-Reuter-Platz 7, 10587, Berlin, Germany

    Stefan Hillmann, Thilo Michael & Sebastian Möller

  3. Language Generation and Dialogue Systems, University of Bamberg, An der Weberei 5, 96047, Bamberg, Germany

    Stefan Ultes

Authors
  1. Annalena Aicher
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefan Hillmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Thilo Michael
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sebastian Möller
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Wolfgang Minker
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Stefan Ultes
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Annalena Aicher .

Editor information

Editors and Affiliations

  1. University of Bucharest, Bucharest, Romania

    Adela Coman

  2. University of Tsukuba, Tsukuba, Japan

    Simona Vasilache

Rights and permissions

Reprints and permissions

Copyright information

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

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Aicher, A., Hillmann, S., Michael, T., Möller, S., Minker, W., Ultes, S. (2023). Evaluating a Spoken Argumentative Dialogue System. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14026. Springer, Cham. https://doi.org/10.1007/978-3-031-35927-9_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35927-9_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35926-2

  • Online ISBN: 978-3-031-35927-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation