Robot magic show: Human-robot interaction

Jaesik Jeong, Jeehyun Yang, Jacky Baltes

研究成果: 雜誌貢獻文章同行評審

摘要

The use of robots in performance arts is increasing. But, it is hard for robots to cope with unexpected circumstances during a performance, and it is almost impossible for robots to act fully autonomously in such situations. IROS-HAC is a new challenge in robotics research and a new opportunity for cross-disciplinary collaborative research. In this paper, we describe a practical method for generating different personalities of a robot entertainer. The personalities are created by selecting speech or gestures from a set of options. The selection uses roulette wheel selection to select answers that are more closely aligned with the desired personality. In particular, we focus on a robot magician, as a good magic show includes good interaction with the audience and it may also include other robots and performers. The magician with a variety of personalities increased the audience immersion and appreciation and maintained the audience's interest. The magic show was awarded first prize in the competition for a comprehensive evaluation of technology, story, and performance. This paper contains both the research methodology and a critical evaluation of our research.

原文英語
文章編號e15
期刊Knowledge Engineering Review
DOIs
出版狀態接受/付印 - 2020
對外發佈Yes

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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