Skip to main content

Affect-Aware Conversational Agent for Intelligent Tutoring of Students in Nursing Subjects

  • Conference paper
  • First Online:
Intelligent Tutoring Systems (ITS 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12677))

Included in the following conference series:

Abstract

In many social professions employees require skills in affect- and situation-aware social interaction. One option for teaching and training such social interaction skills by computer-based training methodology is the use of dialogue simulations. Here, a student interacts with a simulated dialogue partner and the dialogue flow explores specific interaction situations and affectual settings. Conversational agents provide a basic technology for creating such dialogue simulations. However, they usually lack a means for managing affect-related dialogue state. In this paper we propose an approach to integrate affective reasoning into a conversational agent for intelligent tutoring applications in order to improve the agent’s ability to recognise dialogue intents, generate emotionally aligned responses, and provide a metric for evaluating student performance.

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

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. Amazon lex. http://aws.amazon.com/lex/. Accessed 30 Mar 2021

  2. Datasets affect control theory. http://affectcontroltheory.org/resources-for-researchers/data-sets-for-simulation/. Accessed 30 Mar 2021

  3. U report. https://ureport.in/. Accessed 30 Mar 2021

  4. Abuazizeh, M., Kirste, T., Yordanova, K.: Computational state space model for intelligent tutoring of students in nursing subjects. In: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments. PETRA 2020, Association for Computing Machinery, New York (2020). https://doi.org/10.1145/3389189.3397979

  5. Bocklisch, T., Faulkner, J., Pawlowski, N., Nichol, A.: Rasa: Open source language understanding and dialogue management. CoRR abs/1712.05181 (2017). http://arxiv.org/abs/1712.05181

  6. D’Mello, S.K., Graesser, A.: Language and discourse are powerful signals of student emotions during tutoring. IEEE Trans. Learn. Technol. 5(4), 304–317 (2012). https://doi.org/10.1109/TLT.2012.10

    Article  Google Scholar 

  7. D’Mello, S., et al.: Autotutor detects and responds to learners affective and cognitive states. In: Workshop on Emotional and Cognitive Issues at the International Conference Intelligent Tutoring Systems. Montreal, Canada (01 2008)

    Google Scholar 

  8. Ekman, P.: An argument for basic emotions. Cogn. Emotion 6(3–4), 169–200 (1992). https://doi.org/10.1080/02699939208411068

  9. Google: Google assisstant. https://assistant.google.com/

  10. Hasan, M.A., Noor, N.F.M., Rahman, S.S.B.A., Rahman, M.M.: The transition from intelligent to affective tutoring system: a review and open issues. IEEE Access 8, 204612–204638 (2020). https://doi.org/10.1109/ACCESS.2020.3036990

    Article  Google Scholar 

  11. Heise, D.R.: Understanding events: affect and the construction of social action. Cambridge University Press, Cambridge, New York (1979). http://www.loc.gov/catdir/enhancements/fy0909/78024177-t.html

  12. Hoey, J., Schröder, T., Alhothali, A.: Bayesian affect control theory, pp. 166–172 (09 2013). https://doi.org/10.1109/ACII.2013.34

  13. Krüger, F., Nyolt, M., Yordanova, K., Hein, A., Kirste, T.: Computational state space models for activity and intention recognition. Feasibility Study. PLOS ONE 9(11), 1–24 (2014). https://doi.org/10.1371/journal.pone.0109381

  14. McDermott, D., et al.: PDDL-the planning domain definition language, technical Report CVC TR-98-003/DCS TR-1165, Yale Center for Computational Vision and Control (1998)

    Google Scholar 

  15. Sarrafzadeh, A., Fan, C., Dadgostar, F., Alexander, S., Messom, C.: Frown gives game away: affect sensitive systems for elementary mathematics. In: 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), vol. 1, pp. 13–18 (2004). https://doi.org/10.1109/ICSMC.2004.1398265

Download references

Acknowledgments

This project is funded by the European Social Fund (ESF) through the Excellence Initiative of the State Mecklenburg-Vorpommern (grant number: ESF/14-BM-A55-0020/19). We thank our domain experts from HS Neubrandenburg and DZNE for their invaluable contribution in providing real world data for developing the dialogue models.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Moh’d Abuazizeh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Abuazizeh, M., Yordanova, K., Kirste, T. (2021). Affect-Aware Conversational Agent for Intelligent Tutoring of Students in Nursing Subjects. In: Cristea, A.I., Troussas, C. (eds) Intelligent Tutoring Systems. ITS 2021. Lecture Notes in Computer Science(), vol 12677. Springer, Cham. https://doi.org/10.1007/978-3-030-80421-3_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-80421-3_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80420-6

  • Online ISBN: 978-3-030-80421-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics