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Audiovisual . 2022
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Audiovisual . 2022
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Limitations of Audiovisual Speech on Robots for Second Language Pronunciation Learning

Authors: Saya Amioka; Ruben Janssens; Pieter Wolfert; Qiaoqiao Ren; Maria Jose Pinto Bernal; Tony Belpaeme;

Limitations of Audiovisual Speech on Robots for Second Language Pronunciation Learning

Abstract

Additional material accompanying the HRI'23 publication found at https://doi.org/10.1145/3568162.3578633. Simulations showing the audiovisual speech performed by Furhat during the second language tutoring experiment. Each video consists of the Furhat saying a Dutch word, followed by saying the Japanese translation twice. Videos M1-M10 correspond to the Matched condition, M11-M20 to Mismatched, and M21-M30 to the Computer-generated lip movement. In the experiment, participants interacted with a physical Furhat, but as it is difficult to make video recordings of the Furhat, simulations are shown here to allow for high-fidelity comparison between conditions.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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