Impression Evaluation Focusing on the End-of-Sentence Style of Utterance in Driving Support Agent Based on Politeness Theory
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- MIYAMOTO Tomoki
- Graduate School of Engineering, Tokyo Polytechnic University
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- KATAGAMI Daisuke
- Faculty of Engineering, Tokyo Polytechnic University
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- SHIGEMITSU Yuka
- Faculty of Engineering, Tokyo Polytechnic University
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- USAMI Mayumi
- National Institute for Japanese Language and Linguistics
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- TANAKA Takahiro
- Institute of Innovation for Future Society, Nagoya University
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- KANAMORI Hitoshi
- Institute of Innovation for Future Society, Nagoya University
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- YOSHIHARA Yuki
- Institute of Innovation for Future Society, Nagoya University
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- FUJIKAKE Kazuhiro
- Institute of Innovation for Future Society, Nagoya University
Bibliographic Information
- Other Title
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- ポライトネス理論に基づく運転支援エージェントにおける発話の文末スタイルに着目した印象評価
- ポライトネス リロン ニ モトズク ウンテン シエン エージェント ニ オケル ハツワ ノ ブンマツ スタイル ニ チャクモク シタ インショウ ヒョウカ
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Abstract
<p>In this paper, we propose an agent which selects utterance strategy according to driver’s attributes and situation based on politeness theory. The proposed agent system considers attribute information such as age, gender, personality, driving experience and driving characteristics of the driver, and selects and supports highly receptive utterance strategies. Here, as a survey for the development of the proposed system, an impression evaluation experiment on a driving support agent was conducted using a moving picture reflecting driving support scenes. In particular, we focused attention on the difference of the end-of-sentence style which is a representation method of distinctive psychological distances in Japanese conversation. As a result of the experiment, it is suggested that agents using non-polite words may be effective for improving familiarity. On the other hand, the agent using honorifics gives the impression that it is cautious, suggesting the possibility that it feels that information is conveyed accurately.</p>
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 31 (3), 739-744, 2019-06-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001288146140544
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- NII Article ID
- 130007663800
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 029798598
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed