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ID 53994
フルテキストURL
著者
Yamaoka, Masaki Okayama University
Hara, Sunao 岡山大学大学院自然科学研究科 ORCID Kaken ID publons researchmap
Abe, Masanobu 岡山大学大学院自然科学研究科 ORCID Kaken ID publons researchmap
抄録
We propose a spoken dialog strategy for car navigation systems to facilitate safe driving. To drive safely, drivers need to concentrate on their driving; however, their concentration may be disrupted due to disagreement with their spoken dialog system. Therefore, we need to solve the problems of user misunderstandings as well as misunderstanding of spoken dialog systems. For this purpose, we introduced a driver workload level in spoken dialog management in order to prevent user misunderstandings. A key strategy of the dialog management is to make speech redundant if the driver’s workload is too high in assuming that the user probably misunderstand the system utterance under such a condition. An experiment was conducted to compare performances of the proposed method and a conventional method using a user simulator. The simulator is developed under the assumption of two types of drivers: an experienced driver model and a novice driver model. Experimental results showed that the proposed strategies achieved better performance than the conventional one for task completion time, task completion rate, and user’s positive speech rate. In particular, these performance differences are greater for novice users than for experienced users.
発行日
2015-12
出版物タイトル
Proceedings of APSIPA Annual Summit and Conference 2015
開始ページ
223
終了ページ
226
資料タイプ
会議発表論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
©2015 APSIPA
論文のバージョン
author
オフィシャル URL
http://www.apsipa2015.org/
関連URL
http://www.apsipa.org/proceedings_2015/pdf/74.pdf