Wizard of Oz vs autonomous: Children's perception changes according to robot's operation condition

Daniel Tozadore*, Adam Pinto, Roseli Romero, Gabriele Trovato

*この研究の対応する著者

研究成果: Conference contribution

15 被引用数 (Scopus)

抄録

The presence of robots in human lifestyle is no longer a distant reality, as robots are being employed in several fields, including educational purposes. However, most of the research in educational robotics does not use autonomous social behavior, but rather techniques like Wizard of Oz (WoZ). This paper presents the very first test in a school environment of a robotic architecture to control an autonomous system for educational interactions, evaluated from user's perspective when compared to a teleoperated situation. The architecture aims to manage three main communication robot resources - speech, vision and gesture - in an autonomous way and provide an interaction as acceptable as when someone controls the robot. The experiment was performed randomly assigning 82 students aged between 7 and 11 to interact with a NAO robot in two conditions of robot operation: Autonomous and teleoperated. The results suggest that there is no significant difference between the conditions in user's enjoyment and system time response, but they decreased their perception regarding robot's intelligence after knowing about the teleoperation.

本文言語English
ホスト出版物のタイトルRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
出版社Institute of Electrical and Electronics Engineers Inc.
ページ664-669
ページ数6
ISBN(電子版)9781538635186
DOI
出版ステータスPublished - 2017 12月 8
イベント26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal
継続期間: 2017 8月 282017 9月 1

出版物シリーズ

名前RO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
2017-January

Other

Other26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
国/地域Portugal
CityLisbon
Period17/8/2817/9/1

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用
  • 制御と最適化

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