research-article

The Effect of the Repetitive Utterances Complexity on User’s Desire to Continue Dialogue by a Chat-oriented Spoken Dialogue System

Authors:

Hirofumi Kikuchi,

Takatsugu Uegaki,

Hideaki KikuchiAuthors Info & Claims

HAI '22: Proceedings of the 10th International Conference on Human-Agent Interaction

Pages 51 - 56

https://doi.org/10.1145/3527188.3561937

Published: 05 December 2022 Publication History

Abstract

In everyday conversation, it is common for participants to repeat all or part of the other’s words, and such repetition is often accompanied by elements such as backchannels. Repetitive utterances have an empathic effect other than confirming information. However, if the repetitive utterances of a dialogue system are monotonous, the user may get bored quickly, and if it is too complex, there is a concern that it may place a cognitive burden on the user. In this study, we define complexity as the number of elements and patterns associated with repeated words and examine the effect of the complexity of repetitive utterances on the user’s perceived empathy and desire to continue dialogue. The complexity of the repetitive utterances was divided into three conditions: low, moderate, and high, and templates of repetitive utterances were made according to each condition. We constructed a chat-oriented spoken dialogue system that automatically generates repetitive utterances. A dialogue experiment was conducted with 12 subjects. As a result, no significant difference was found between the 3 complexity conditions for the evaluation items of the user’s perceived empathy and desire to continue dialogue. On the other hand, considering the characteristics of the user’s negative attitudes towards robots and the anxiety towards robots, the results suggest that the stronger the user’s negative attitudes and anxiety towards robots, the greater the desire to continue the dialogue after exposure to high- complexity repetitive utterances.

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Cited By

Genç UVerma H(2024)Situating Empathy in HCI/CSCW: A Scoping ReviewProceedings of the ACM on Human-Computer Interaction10.1145/36870528:CSCW2(1-37)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687052
Fukui RYuguchi AMatsumoto YOkadome Y(2024)Evaluation of Preference on Context-Aware Utterances based on Personality Traits using a Conversational Android Robot System2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731410(22-28)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731410

Index Terms

The Effect of the Repetitive Utterances Complexity on User’s Desire to Continue Dialogue by a Chat-oriented Spoken Dialogue System
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces
  2. Interaction design
    1. Empirical studies in interaction design

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cover image ACM Other conferences

HAI '22: Proceedings of the 10th International Conference on Human-Agent Interaction

December 2022

352 pages

ISBN:9781450393232

DOI:10.1145/3527188

Editors:
Christoph Bartneck
University of Canterbury, New Zealand
,
Takayuki Kanda
Kyoto University, Japan
,
Mohammad Obaid
Chalmers University of Technology, Sweden
,
Wafa Johal
University of Melbourne, Australia

Copyright © 2022 ACM.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2022

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Research-article
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Refereed limited

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Waseda University Grants for Special Research Projects (?Tokutei Kadai?)
JSPS KAKENHI

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HAI '22

HAI '22: International Conference on Human-Agent Interaction

December 5 - 8, 2022

Christchurch, New Zealand

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Overall Acceptance Rate 121 of 404 submissions, 30%

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Cited By

Genç UVerma H(2024)Situating Empathy in HCI/CSCW: A Scoping ReviewProceedings of the ACM on Human-Computer Interaction10.1145/36870528:CSCW2(1-37)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687052
Fukui RYuguchi AMatsumoto YOkadome Y(2024)Evaluation of Preference on Context-Aware Utterances based on Personality Traits using a Conversational Android Robot System2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731410(22-28)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731410

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