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A social interaction system for studying humor with the Robot NAO

Published: 09 December 2013 Publication History

Abstract

The video of our demonstrator presents a social interaction system for studying humor with the Aldebaran robot NAO. Our application records and analyzes audio and video stream to provide real-time feedback. Using this dialog system during show & tell sessions at Interspeech 2013, we have collected different kind of laughter (positive and negative) from 45 subjects. The participants were involved in a verbal exchange with NAO, including tongue-twisters games and jokes, as well as witty remarks and laughs from the robot. The conversation data captured is used here to study subject behaviors from various personalities and cultural backgrounds.

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Carter, A., Automatic acoustic laughter detection, Master Thesis, Keele University, 2000.
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Szameitat, D. P., et al. Differentiation of Emotions in Laughter at the Behavioral Level. 2009 Emotion 9 (3), 399.
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Cited By

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  • (2024)What a Laugh! – Effects of Voice and Laughter on a Social Robot’s Humorous Appeal and Recipients’ Transportation and Emotions in Humorous Robotic Storytelling2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731342(2131-2138)Online publication date: 26-Aug-2024
  • (2016)Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2016.7745106(166-171)Online publication date: Aug-2016

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cover image ACM Conferences
ICMI '13: Proceedings of the 15th ACM on International conference on multimodal interaction
December 2013
630 pages
ISBN:9781450321297
DOI:10.1145/2522848
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 December 2013

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Author Tags

  1. data collection
  2. laughter
  3. multicultural analysis
  4. prosody
  5. social interaction
  6. valence

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  • Demonstration

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ICMI '13
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ICMI '13 Paper Acceptance Rate 49 of 133 submissions, 37%;
Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Cited By

View all
  • (2024)What a Laugh! – Effects of Voice and Laughter on a Social Robot’s Humorous Appeal and Recipients’ Transportation and Emotions in Humorous Robotic Storytelling2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731342(2131-2138)Online publication date: 26-Aug-2024
  • (2016)Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)10.1109/ROMAN.2016.7745106(166-171)Online publication date: Aug-2016

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