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Authoring Robot Presentation Behavior for Promoting Self-review

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Learning and Collaboration Technologies (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14041))

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Abstract

Presentation is important for researchers to present their work. Researchers must consider not only what to present but also how to present with nonverbal behavior Also, researchers are required to review their presentations in advance. We focus on self-review. The most common way for researchers to self-review is to make a video of the presentation, and then to check it out. However, they would have quite uncomfortable feelings due to their looks and voice on the video. We have accordingly developed a system that uses a robot as a presentation avatar to reproduce the presentation researchers make. The system reduces psychological resistance and helps learners review the appropriateness of nonverbal behavior they have conducted in a model-based manner. On the other hand, it does not allow them to become aware of alternative nonverbal behavior for achieving the same presentation intention. In order to allow learners to become aware of alternative nonverbal behavior, we propose an authoring environment, where learners can review, and author (including reconstruct) nonverbal behavior in their presentation. This paper also reports a case study with the system whose purpose was to ascertain whether it enhances awareness of alternative nonverbal behavior learners made.

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References

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Correspondence to Kenyu Ito .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ito, K., Kashihara, A. (2023). Authoring Robot Presentation Behavior for Promoting Self-review. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2023. Lecture Notes in Computer Science, vol 14041. Springer, Cham. https://doi.org/10.1007/978-3-031-34550-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-34550-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34549-4

  • Online ISBN: 978-3-031-34550-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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