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Multimodal Perception of Aggressive Behavior

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Speech and Computer (SPECOM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9811))

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Abstract

The paper proposes the results of the comparative auditory-perceptual and visual-perceptual analyses of Russian, English, Spanish and Tatar experimental samples representing the emotional-modal complex aggression. It describes statistically valid differences between auditory and visual types of perception of aggressive (physical and verbal) behavior, influenced by such factors as emotional-modal state of a recipient and language of communication.

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Notes

  1. 1.

    Detailed results of one channel auditory-perceptual recognition of aggressive speech behavior see in [5, 8].

  2. 2.

    Symbolic notation: “0” means no statistically valid differences between visual and auditory perception; “+” − there’s statistically valid difference. “+ auditory” means that auditory perception parameters statistically exceed visual perception parameters. “+ visual” − visual perception parameters statistically exceed auditory perception parameters.

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Acknowledgements

The research is being carried out with the support of Russian Science Foundation (RSF) in the framework of the project N14-18-01059. Methodological concepts of the project are described in [6].

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Authors and Affiliations

  1. Institute of Applied and Mathematical Linguistics, Moscow State Linguistic University, Moscow, Russia

    Rodmonga Potapova & Liliya Komalova

Authors
  1. Rodmonga Potapova
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  2. Liliya Komalova
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Corresponding author

Correspondence to Liliya Komalova .

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Editors and Affiliations

  1. SPIIRAS , Saint-Petersburg, Russia

    Andrey Ronzhin

  2. Moscow State Linguistic University , Moscow, Russia

    Rodmonga Potapova

  3. Budapest University of Technology and Economics, Budapest, Hungary

    Géza Németh

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Potapova, R., Komalova, L. (2016). Multimodal Perception of Aggressive Behavior. In: Ronzhin, A., Potapova, R., Németh, G. (eds) Speech and Computer. SPECOM 2016. Lecture Notes in Computer Science(), vol 9811. Springer, Cham. https://doi.org/10.1007/978-3-319-43958-7_60

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  • DOI: https://doi.org/10.1007/978-3-319-43958-7_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43957-0

  • Online ISBN: 978-3-319-43958-7

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