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.
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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
Apte, M.L.: Humor and Laughter: An Anthropological Approach. Cornell University Press, Ithaca (1994)
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
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)
Binsted, K., Pain, H., Ritchie, G.: Children’s evaluation of computer-generated punning riddles. Pragmat. Cogn. 5(2), 305–354 (1997)
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
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
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)
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
Hill, S.: The funniest questions to ask Siri. https://www.digitaltrends.com/mobile/funny-questions-to-ask-siri/. Accessed 14 May 2018
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)
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)
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
Lopatovska, I.: Classification of humorous interactions with intelligent personal assistants. J. Libr. Inform. Sci. (Accepted for publication)
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)
Martin, R.A.: The Psychology of Humor: An Integrative Approach. Elsevier Academic Press, Burlington (2007)
Meyer, J.C.: Humor as a double-edged sword: four functions of humor in communication. Commun. Theory 10(3), 310–311 (2000)
Mihalcea, R., Strapparava, C.: Learning to laugh (automatically): computational models for humor recognition. Comput. Intell. 22(20), 126–142 (2006)
Moon, S.: Funny things to ask Alexa (2018). https://thoughtcatalog.com/sari-moon/2018/03/funny-things-to-ask-alexa/. Accessed 13 May 2018
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
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
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)
Reyes, A., Rosso, P., Veale, T.: A multidimensional approach for detecting irony in Twitter. Lang. Resour. Eval. 47(1), 239–268 (2013)
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
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)
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)
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)
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)
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)
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.
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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
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