research-article

Conversational Agents Replying with a Manzai-style Joke

Authors:

Toshiki Onishi,

Akihiro MiyataAuthors Info & Claims

OzCHI '21: Proceedings of the 33rd Australian Conference on Human-Computer Interaction

Pages 221 - 230

https://doi.org/10.1145/3520495.3520517

Published: 15 September 2022 Publication History

Abstract

Automated conversational agents are becoming popular in various everyday contexts. In order to fulfill a more important role in human society, people would need to feel a sense of familiarity with such agents. To achieve this, we focus on humor, which enables familiar relationships between people and agents. In this study, we propose an interaction style of a pair of conversational agents that make humorous statements in conversation with users in real time, referring to the Japanese Manzai. In this method, a pair of agents, one making the joke and the other serving as the butt of the joke, perform humor in real time. The results of the experiment using the prototype system showed that when the agents performed humorous statements during conversations with users, the humans perceived that agent as expressing a sense of humor, and their motivation to continue the conversation increased.

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Cited By

Shimozaki ATsuge YKitamura TUmetani TNadamoto A(2025)Comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny DialoguesDatabase Systems for Advanced Applications. DASFAA 2024 International Workshops10.1007/978-981-96-0914-7_13(187-202)Online publication date: 23-Jan-2025
https://doi.org/10.1007/978-981-96-0914-7_13
Go KTokuda SNiiyama HOnishi TOgushi AMiyata A(2024)Evaluation of Prosodic Features Suitable for Conversational Agents Replying with a JokeJournal of Information Processing10.2197/ipsjjip.32.3532(35-40)Online publication date: 2024
https://doi.org/10.2197/ipsjjip.32.35
Tsuge YShimozaki ANadamoto A(2024)Generative Action Procedure Manzai Scenario Based on Maslow’s Stages of Need TheoryAdvances in Network-Based Information Systems10.1007/978-3-031-72325-4_31(319-327)Online publication date: 20-Sep-2024
https://doi.org/10.1007/978-3-031-72325-4_31
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OzCHI '21: Proceedings of the 33rd Australian Conference on Human-Computer Interaction

November 2021

361 pages

ISBN:9781450395984

DOI:10.1145/3520495

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 September 2022

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OzCHI '21

OzCHI '21: 33rd Australian Conference on Human-Computer Interaction

November 30 - December 2, 2021

VIC, Melbourne, Australia

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Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

Shimozaki ATsuge YKitamura TUmetani TNadamoto A(2025)Comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny DialoguesDatabase Systems for Advanced Applications. DASFAA 2024 International Workshops10.1007/978-981-96-0914-7_13(187-202)Online publication date: 23-Jan-2025
https://doi.org/10.1007/978-981-96-0914-7_13
Go KTokuda SNiiyama HOnishi TOgushi AMiyata A(2024)Evaluation of Prosodic Features Suitable for Conversational Agents Replying with a JokeJournal of Information Processing10.2197/ipsjjip.32.3532(35-40)Online publication date: 2024
https://doi.org/10.2197/ipsjjip.32.35
Tsuge YShimozaki ANadamoto A(2024)Generative Action Procedure Manzai Scenario Based on Maslow’s Stages of Need TheoryAdvances in Network-Based Information Systems10.1007/978-3-031-72325-4_31(319-327)Online publication date: 20-Sep-2024
https://doi.org/10.1007/978-3-031-72325-4_31
Oliveira R(2024)Should Technology Be More Fun(ny)? Leveraging Humor to Improve User Acceptance and Enjoyment of Social Robots and Virtual AgentsThe Palgrave Handbook of Humour Research10.1007/978-3-031-52288-8_3(51-75)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-52288-8_3
Wei CKim YKuzminykh A(2023)The Bot on Speaking Terms: The Effects of Conversation Architecture on Perceptions of Conversational AgentsProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597139(1-16)Online publication date: 19-Jul-2023
https://dl.acm.org/doi/10.1145/3571884.3597139
Shimozaki AYamamoto JNadamoto A(2023)Automatic Generation of Funny-Dialog Based on Cuisine RecipesAdvances in Networked-based Information Systems10.1007/978-3-031-40978-3_24(216-226)Online publication date: 24-Aug-2023
https://doi.org/10.1007/978-3-031-40978-3_24

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