Skip to main content

Different Chatbots for Different Purposes: Towards a Typology of Chatbots to Understand Interaction Design

  • Conference paper
  • First Online:
Book cover Internet Science (INSCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11551))

Included in the following conference series:

Abstract

Chatbots are emerging as interactive systems. However, we lack knowledge on how to classify chatbots and how such classification can be brought to bear in analysis of chatbot interaction design. In this workshop paper, we propose a typology of chatbots to support such classification and analysis. The typology dimensions address key characteristics that differentiate current chatbots: the duration of the user’s relation with the chatbot (short-term and long-term), and the locus of control for user’s interaction with the chatbot (user-driven and chatbot-driven). To explore the usefulness of the typology, we present four example chatbot purposes for which the typology may support analysis of high-level chatbot interaction design. Furthermore, we analyse a sample of 57 chatbots according to the typology dimensions. The relevance and application of the typology for developers and service providers are discussed.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
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

References

  1. Bailey, K.D.: Typologies and Taxonomies: An Introduction to Classification Techniques, vol. 102. Sage, Thousand Oaks (1994)

    Book  Google Scholar 

  2. Brandtzaeg, P.B., Følstad, A.: Why people use chatbots. In: Kompatsiaris, I., et al. (eds.) INSCI 2017. LNCS, vol. 10673, pp. 377–392. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-70284-1_30

    Chapter  Google Scholar 

  3. Chen, H., Liu, X., Yin, D., Tang, J.: A survey on dialogue systems: recent advances and new frontiers. ACM SIGKDD Explor. Newslett. 19(2), 25–35 (2017). https://doi.org/10.1145/3166054.3166058

    Article  Google Scholar 

  4. Collier, D., LaPorte, J., Seawright, J.: Putting typologies to work: concept formation, measurement, and analytic rigor. Polit. Res. Q. 65(1), 217–232 (2012). https://doi.org/10.1177/1065912912437162

    Article  Google Scholar 

  5. Eide, A.W., et al.: Human-machine networks: towards a typology and profiling framework. In: Kurosu, M. (ed.) HCI 2016. LNCS, vol. 9731, pp. 11–22. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39510-4_2

    Chapter  Google Scholar 

  6. Fitzpatrick, K.K., Darcy, A., Vierhile, M.: Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial. JMIR Ment. Health 4(2), e19 (2017). https://doi.org/10.2196/mental.7785

    Article  Google Scholar 

  7. Følstad, A., Brandtzæg, P.B.: Chatbots and the new world of HCI. Interactions 24(4), 38–42 (2017). https://doi.org/10.1145/3085558

    Article  Google Scholar 

  8. Fryer, L.K., Ainley, M., Thompson, A., Gibson, A., Sherlock, Z.: Stimulating and sustaining interest in a language course: an experimental comparison of Chatbot and Human task partners. Comput. Hum. Behav. 75, 461–468 (2017). https://doi.org/10.1016/j.chb.2017.05.045

    Article  Google Scholar 

  9. Hall, E.: Conversational Design. A Book Apart, New York (2018)

    Google Scholar 

  10. Page, L, Gehlbach, H.: How an artificially intelligent virtual assistant helps students navigate the road to college. AERA Open 3(4). https://doi.org/10.1177/2332858417749220

  11. Weizenbaum, J.: ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966). https://doi.org/10.1145/365153.365168

    Article  Google Scholar 

  12. Xu, A., Liu, Z., Guo, Y., Sinha, V., Akkiraju, R.: A new chatbot for customer service on social media. In: Proceedings of CHI 2017, pp. 3506–3510. ACM, New York (2017). https://doi.org/10.1145/3025453.3025496

Download references

Acknowledgement

This work was supported by the Research Council of Norway grant no. 270940.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Asbjørn Følstad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Følstad, A., Skjuve, M., Brandtzaeg, P.B. (2019). Different Chatbots for Different Purposes: Towards a Typology of Chatbots to Understand Interaction Design. In: Bodrunova, S., et al. Internet Science. INSCI 2018. Lecture Notes in Computer Science(), vol 11551. Springer, Cham. https://doi.org/10.1007/978-3-030-17705-8_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-17705-8_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17704-1

  • Online ISBN: 978-3-030-17705-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics