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2020 Volume 35
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RESEARCH ARTICLE   Open Access    

Robot magic show: human–robot interaction

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  • Abstract: 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.
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  • Cite this article

    Jaesik Jeong, Jeehyun Yang, Jacky Baltes. 2020. Robot magic show: human–robot interaction. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000211
    Jaesik Jeong, Jeehyun Yang, Jacky Baltes. 2020. Robot magic show: human–robot interaction. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000211
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RESEARCH ARTICLE   Open Access    

Robot magic show: human–robot interaction

  • Received: 25 March 2019
  • Revised: 18 November 2019
  • Accepted: 17 December 2019
  • Published online: 07 April 2020
The Knowledge Engineering Review  35,  2020, 35(1)  |  Cite this article

Abstract: Abstract: 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.

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    Acknowledgments

    • This work was financially supported by the ‘‘Chinese Language and Technology Center’’ of National Taiwan Normal University (NTNU) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and Ministry of Science and Technology, Taiwan, under Grants No. MOST 108-2634-F-003-002, MOST 108-2634-F-003-003, and MOST 108-2634-F-003-004 (administered through Pervasive Artificial Intelligence Research (PAIR) Labs), as well as MOST 107-2811-E-003-503. We are grateful to the National Center for High-performance Computing for computer time and facilities to conduct this research.

    • A video of the live performance can be found at https://www.youtube.com/watch?v=36n26CNH-JY

    • https://www.robocup.org/leagues/30

    • The two authors contributed equally to this paper

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    Cite this article
    Jaesik Jeong, Jeehyun Yang, Jacky Baltes. 2020. Robot magic show: human–robot interaction. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000211
    Jaesik Jeong, Jeehyun Yang, Jacky Baltes. 2020. Robot magic show: human–robot interaction. The Knowledge Engineering Review 35(1), doi: 10.1017/S0269888920000211
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