Skip to main content

Comparing Intelligent Personal Assistants on Humor Function

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12051))

Abstract

Intelligent personal assistants (IPA) use humor to engage and entertain users as well as mitigate performance limitations. In order to understand the types of users’ humorous interactions with IPA, we developed a classification of humorous utterances that included categories of questions about IPA personality, requests for jokes, rhetorical statement, and others. In order to illustrate the usefulness of classification for analyzing IPA interactions, we used it for comparing the four major IPAs on their responses to humorous utterances. A representative sample of 96 humorous utterances in each humor category and IPA type was developed and tested by 14 participants. The study found that IPA responses to specific requests for jokes received the highest humor ratings from users. The study also found that, overall, Alexa was rated as the most humorous IPA, followed by Google Assistant and Cortana. Interpretation of the findings in light of humor theories and IPA features are provided.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    Amazon Alexa list was the longest and included 29 utterances due to wide availability of publicly published humor for this IPA. Google Assistant had the lowest number of publicly available humor, resulting in a shorter list of 21 test utterances.

References

  1. Apte, M.L.: Humor and Laughter: An Anthropological Approach. Cornell University Press, Ithaca (1994)

    Google Scholar 

  2. Attkisson, A.: Siri vs. Alexa: why Amazon won our 300-question showdown. https://www.tomsguide.com/us/siri-vs-alexa,review-3681.html. Accessed 17 May 2018

  3. Binsted, K.: Using humour to make natural language interfaces more friendly. Paper Presented at the International Joint Conference on Artificial Intelligence Workshop on AI and Entertainment, Montreal, Quebec (1995)

    Google Scholar 

  4. Binsted, K., Pain, H., Ritchie, G.: Children’s evaluation of computer-generated punning riddles. Pragmat. Cogn. 5(2), 305–354 (1997)

    Article  Google Scholar 

  5. Bolluyt, J.: 90 questions Cortana has funny and interesting answers for. https://www.cheatsheet.com/gear-style/funny-questions-ask-cortana.html/. Accessed 26 Apr 2018

  6. Chacos, B.: Ask Cortana anything: snarky answers to 59 burning questions. https://www.pcworld.com/article/2148940/windows-phone-os/ask-cortana-anything-sassy-answers-to-58-burning-questions.html. Accessed 19 May 2018

  7. He, H., Peng, N., Liang, P.: Pun generation with surprise. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pp. 1734–1744. Association for Computational Linguistics, Minneapolis (2019)

    Google Scholar 

  8. Hesse, B.: Bothering the bots: funny questions and commands to pose to Google assistant. https://www.digitaltrends.com/mobile/funny-things-to-ask-google-assistant/. Accessed 22 Mar 2018

  9. Hill, S.: The funniest questions to ask Siri. https://www.digitaltrends.com/mobile/funny-questions-to-ask-siri/. Accessed 14 May 2018

  10. Kelly, A.: Siri, tell me a joke. No, not that one. Could machine learning help the voice-activated assistant find its comedic chops? Signal 71(7), 11–12 (2017)

    Google Scholar 

  11. Knight, W.: Siri may not be the smartest AI in the world, but it’s the most socially adept. MIT Technol. Rev. 115(3), 80–82 (2012)

    MathSciNet  Google Scholar 

  12. Lee, N.: Siri and Alexa walk into a bar: how AI assistants found their funny bone. https://www.engadget.com/2018/06/26/siri-alexa-cortana-google-jokes/. Accessed 28 Apr 2018

  13. Lopatovska, I.: Classification of humorous interactions with intelligent personal assistants. J. Libr. Inform. Sci. (Accepted for publication)

    Google Scholar 

  14. Martin, R.A., Puhlik-Doris, P., Larsen, G., Gray, J., Weir, K.: Individual differences in uses of humor and their relation to psychological well-being: development of the humor styles questionnaire. J. Res. Pers. 37(1), 48–75 (2003)

    Article  Google Scholar 

  15. Martin, R.A.: The Psychology of Humor: An Integrative Approach. Elsevier Academic Press, Burlington (2007)

    Book  Google Scholar 

  16. Meyer, J.C.: Humor as a double-edged sword: four functions of humor in communication. Commun. Theory 10(3), 310–311 (2000)

    Article  Google Scholar 

  17. Mihalcea, R., Strapparava, C.: Learning to laugh (automatically): computational models for humor recognition. Comput. Intell. 22(20), 126–142 (2006)

    Article  MathSciNet  Google Scholar 

  18. Moon, S.: Funny things to ask Alexa (2018). https://thoughtcatalog.com/sari-moon/2018/03/funny-things-to-ask-alexa/. Accessed 13 May 2018

  19. Owens, S.J.: More than 60 funny and silly things to say to Siri (2018a). https://www.lifewire.com/funny-things-to-say-to-siri-4171645. Accessed 09 May 2018

  20. Owens, S.J.: 99 funny questions to ask Google Home (2018b). https://www.lifewire.com/funny-questions-to-ask-google-home-4161209. Accessed 09 May 2018

  21. Rajadesingan, A., Zafarani, R., Liu, H.: Sarcasm detection on Twitter: a behavioral modeling approach. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (WSDM 2015), pp. 97–106. ACM, New York (2015)

    Google Scholar 

  22. Reyes, A., Rosso, P., Veale, T.: A multidimensional approach for detecting irony in Twitter. Lang. Resour. Eval. 47(1), 239–268 (2013)

    Article  Google Scholar 

  23. Stables, J.: 115 brilliant Alexa Easter eggs: Funny things to ask your Amazon Echo. https://www.the-ambient.com/guides/best-alexa-easter-eggs-167. Accessed 11 Apr 2018

  24. Taylor, J.M., Mazlack, L.J.: Computationally recognizing wordplay in jokes. In: Forbus, K., Gentner, D., Regier, T. (eds.) Proceedings of the Twenty-Sixth Annual Conference of the Cognitive Science Society, pp. 1315–1320. Cognitive Science Society, Mahwah (2004)

    Google Scholar 

  25. Valitutti, A., Toivonen, H., Doucet, A., Toivanen, J.M.: “Let everything turn well in your wife”: generation of adult humor using lexical constraints. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, pp. 243–248. Association for Computational Linguistics, Stroudsburg (2013)

    Google Scholar 

  26. Yang, D., Lavie, A., Dyer, Ch., Hovy, E.: Humor recognition and humor anchor extraction. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 2367–2376. Association for Computational Linguistics, Lisbon (2015)

    Google Scholar 

  27. Yue, X., Jiang, F., Lu, S., Hiranandani, N.: To be or not to be humorous? Cross cultural perspectives on humor. Front. Psychol. 7, 1495 (2016)

    Google Scholar 

  28. Zhang, R., Liu, N.: Recognizing humor on Twitter. In: Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM 2014), pp. 889–898. ACM, New York (2014)

    Google Scholar 

Download references

Acknowledgments

The study was partially supported by the Pratt Institute Seed Grant. Special thanks to our participants and Pratt iSchool administration for their help with the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Irene Lopatovska .

Editor information

Editors and Affiliations

Appendix

Appendix

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lopatovska, I. et al. (2020). Comparing Intelligent Personal Assistants on Humor Function. In: Sundqvist, A., Berget, G., Nolin, J., Skjerdingstad, K. (eds) Sustainable Digital Communities. iConference 2020. Lecture Notes in Computer Science(), vol 12051. Springer, Cham. https://doi.org/10.1007/978-3-030-43687-2_69

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-43687-2_69

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43686-5

  • Online ISBN: 978-3-030-43687-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics