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 Conversation Strategy Comparison between Explicit Request and Implicit Alignment in Object Reference Conversation

この論文にアクセスする

この論文をさがす

著者

抄録

<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>

収録刊行物

  • 日本ロボット学会誌

    日本ロボット学会誌 36(6), 441-452, 2018

    一般社団法人 日本ロボット学会

各種コード

  • NII論文ID(NAID)
    130007433729
  • NII書誌ID(NCID)
    AN00141189
  • 本文言語コード
    JPN
  • ISSN
    0289-1824
  • NDL 記事登録ID
    029171174
  • NDL 請求記号
    Z16-1325
  • データ提供元
    NDL  J-STAGE 
ページトップへ