- 【Updated on January 20, 2026】 Integration of CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on November 26, 2025】Regarding the recording of “Research Data” and “Evidence Data”
- CiNii Research researchers search function has been released.
Conversation Strategy Comparison between Explicit Request and Implicit Alignment in Object Reference Conversation
-
- Kimoto Mitsuhiko
- Doshisha University ATR Intelligent Robotics and Communication Laboratories
-
- Iio Takamasa
- University of Tsukuba
-
- Shiomi Masahiro
- ATR Intelligent Robotics and Communication Laboratories
-
- Tanev Ivan
- Doshisha University
-
- Shimohara Katsunori
- Doshisha University
-
- Hagita Norihiro
- ATR Intelligent Robotics and Communication Laboratories
Bibliographic Information
- Other Title
-
- 明示的な依頼と暗黙的な引き込みにおける指示物体認識性能と印象の比較
- メイジテキ ナ イライ ト アンモクテキ ナ ヒキコミ ニ オケル シジ ブッタイ ニンシキ セイノウ ト インショウ ノ ヒカク
Search this article
Description
<p>The recognition of indicated objects by interacting people is an essential function for robots that act in daily environments. However, due to ambiguous references by them, accurate recognition of indicated objects have difficulties for the robots. For example, people sometimes use the words which did not contain in the robots' databases, or they did not use enough words to identify the object. Therefore, to improve recognition accuracy, we must decrease such ambiguity of indicating behaviors of people. For this purpose, we experimentally compared two kinds of interaction strategies to decrease the ambiguity: explicitly providing requests to people about how to refer to objects, or implicitly aligning with people's indicating behaviors. The experimental results showed that participants evaluated the implicit strategy to be more natural than the explicit strategy, and the recognition performances of the two strategies were not significantly different. </p>
Journal
-
- Journal of the Robotics Society of Japan
-
Journal of the Robotics Society of Japan 36 (6), 441-452, 2018
The Robotics Society of Japan
- Tweet
Details 詳細情報について
-
- CRID
- 1390564238010321536
-
- NII Article ID
- 130007433729
-
- NII Book ID
- AN00141189
-
- ISSN
- 18847145
- 02891824
-
- NDL BIB ID
- 029171174
-
- Text Lang
- ja
-
- Article Type
- journal article
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
-
- Abstract License Flag
- Disallowed