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Critical Analysis of Conversational Agent Technology for Intelligent Customer Support and Proposition of a New Solution

  • Mateusz ModrzejewskiEmail author
  • Przemysław Rokita
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10842)

Abstract

This paper proposes and describes an application of modern, Loebner’s Prize-winning conversational agent technologies in the context of intelligent aid for customer service. The paper defines the requirements, design philosophy and main algorithm for a system that would be able to improve customer service efficiency and functionality using innovative artificial intelligence methods, which can be seen as an increasingly common demand in various branches of business. Emerging problems of interface, knowledge engineering and natural language processing nature are discussed along with proposals of technologies suitable for resolving said issues.

Keywords

Conversational agents Chatbots NLP Applied artificial intelligence AI Knowledge engineering 

References

  1. 1.
    Wiezenbaum, J.: ELIZA - a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)CrossRefGoogle Scholar
  2. 2.
    Bradeško, L., Mladenić, D.: A survey of Chabot systems through a Loebner prize competition (2012)Google Scholar
  3. 3.
    Official website of the Jabberwacky Chatbot. http://www.jabberwacky.com
  4. 4.
    Wilcox’s, B.: ChatScript - GitHub Repository. https://github.com/bwilcox-1234/
  5. 5.
    Kai Kiat, O.: Business application of ChatBots. Chatbots Magazine, 2 November 2017. https://chatbotsmagazine.com/business-application-of-chatbots-afb952cfdb93
  6. 6.
    Wilcox, B., Wilcox, S.: Winning the Loebner’s. Brillig Understanding Inc (2014)Google Scholar
  7. 7.
  8. 8.
    Maybury, M.T. (ed.): New Directions in Question Answering. AAAI/MIT Press, Palo Alto/Cambridge (2004)Google Scholar
  9. 9.
    2014 Global Customer Service Barometer. Findings in the United States report for Ebiquity (2014)Google Scholar
  10. 10.
    Creating Great Service Experiences - How Modern Customer Service Works. Oracle Cloud (2014)Google Scholar
  11. 11.
    How to Provide Customer Service Excellence. Failte Ireland (2013)Google Scholar
  12. 12.
    A.L.I.C.E. Foundation: AIML language for Chatbots. http://www.alicebot.org/aiml.html
  13. 13.
    Wilcox, B.: Beyond Facade: Pattern Matching for Natural Language Applications. Telltale Games, February 2011Google Scholar
  14. 14.
    Wilcox, B.: ChatScript Fact Manual. Revision 10/22/2017 for ChatScript 7.6Google Scholar
  15. 15.
    Jurafsky, D., Martin, J.H.: Dialog systems and Chatbots, Chap. 29. In: Speech and Language Processing (2017)Google Scholar
  16. 16.
    Al-Zuhaide, H., Issa, A.: OntBot: ontology based Chatbot. In: IEEE Fourth International Symposium on Innovation in Information & Communication Technology, Amman (2011)Google Scholar
  17. 17.
    Lundqvist, K.O., Pursey, G., Williams, S.: Design and implementation of conversational agents for harvesting feedback in elearning systems. In: Hernández-Leo, D., Ley, T., Klamma, R., Harrer, A. (eds.) EC-TEL 2013. LNCS, vol. 8095, pp. 617–618. Springer, Heidelberg (2013).  https://doi.org/10.1007/978-3-642-40814-4_79CrossRefGoogle Scholar
  18. 18.
    Abdul-Kader, S.A., Wood, J.: Survey on Chatbot design techniques in speech conversation systems. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 6(7), 76–79 (2015)Google Scholar
  19. 19.
    Setiaji, B., Wibowo, F.W.: Chatbot using a knowledge in database human-to-machine conversation modeling. In: 2016 7th International Conference on Intelligent Systems, Modelling and Simulation (2016)Google Scholar
  20. 20.
    Ask, J.A., Facemire, M., Hogan, A.: The State of Chatbots. Forrester.com report, 20 October 2016
  21. 21.
    Bo, P., Lillian, L., Shivakumar, V.: Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 79–86 (2002)Google Scholar
  22. 22.
    Chatbot Society and Message Board (Bruce Wilcox is a frequent contributor). https://www.chatbots.org/
  23. 23.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Division of Computer Graphics, The Faculty of Electronics and Information Technology, Institute of Computer ScienceWarsaw University of TechnologyWarsawPoland

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