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How is your laugh today?

Published: 26 April 2014 Publication History

Abstract

Despite its relevance for human-human communication, laughter has been quite under-investigated and under-exploited in human-machine interaction. Nevertheless, endowing machines with the capability of analyzing laughter (i.e., to detect when the user is laughing, to measure intensity of laughter, to distinguish between different laughter styles and types) in ecological contexts is a very challenging task. An approach to laughter recognition consisting of the real-time analysis of a single communication modality, i.e., body, is presented in this paper and positive results of an evaluation study are discussed.

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References

[1]
Bailenson, J. N., and Yee, N. Digital chameleons: Automatic assimilation of nonverbal gestures in immersive virtual environments. Psychological Science 16, 10 (2005), 814--819.
[2]
Becker-Asano, C., Kanda, T., Ishi, C., and Ishiguro, H. How about laughter? perceived naturalness of two laughing humanoid robots. In 3rd International Conference on Affective Computing and Intelligent Interaction, IEEE (2009), 1--6.
[3]
Bennett, M. P., Zeller, J. M., Rosenberg, L., and McCann, J. The effect of mirthful laughter on stress and natural killer cell activity. Nursing Faculty Publications (2003).
[4]
Bousmalis, K., Mehu, M., and Pantic, M. Spotting agreement and disagreement: A survey of nonverbal audiovisual cues and tools. In 3rd International Conference on Affective Computing and Intelligent Interaction, vol. 2 (Los Alamitos, September 2009).
[5]
Castellano, G., Camurri, A., Mazzarino, B., and Volpe, G. A mathematical model to analyse the dynamics of gesture expressivity. In Proceedings of AISB (2007).
[6]
Hubert, L., and Arabie, P. Comparing partitions. Journal of Classifications 2, 1 (1985), 193--218.
[7]
Ito, A., Wang, X., Suzuki, M., and Makino, S. Smile and laughter recognition using speech processing and face recognition from conversation video. In Cyberworlds, 2005. International Conference on, IEEE (2005).
[8]
Landis, J., and Koch, G. The measurement of observer agreement for categorical data. Biometrics 33, 1 (1977), 159--174.
[9]
Mancini, M., Hofmann, J., Platt, T., Volpe, G., Varni, G., Glowinski, D., Ruch, W., and Camurri, A. Towards automated full body detection of laughter driven by human expert annotation. In Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on (Sept 2013), 757--762.
[10]
Mancini, M., Varni, G., Glowinski, D., and Volpe, G. Computing and evaluating the body laughter index. In Human Behavior Understanding. Springer Berlin Heidelberg, 2012, 90--98.
[11]
Markaki, V., Merlino, S., Mondada, L., and Oloff, F. Laughter in professional meetings: the organization of an emergent ethnic joke. Journal of Pragmatics 42, 6 (2010), 1526--1542.
[12]
Mora-Ripoll, R. The therapeutic value of laughter in medicine. Alternative therapies in health and medicine 16, 6 (2010).
[13]
Niewiadomski, R., Mancini, M., Baur, T., Varni, G., Grifin, H., and Aung, M. S. Mmli: Multimodal multiperson corpus of laughter in interaction. In Human Behavior Understanding. Springer International Publishing, 2013, 184--195.
[14]
Owren, M. J., and Bachorowski, J.-A. Reconsidering the evolution of nonlinguistic communication: The case of laughter. Journal of Nonverbal Behavior 27 (2003), 183--200.
[15]
Petridis, S., and Pantic, M. Audiovisual discrimination between laughter and speech. In Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on, IEEE (2008), 5117--5120.
[16]
Piana, S., Mancini, M., Camurri, A., Varni, G., and Volpe, G. Automated analysis of non-verbal expressive gesture. In Human Aspects in Ambient Intelligence. Atlantis Press, 2013, 41--54.
[17]
Ruch, W., and Ekman, P. The expressive pattern of laughter. In Emotion, qualia and consciousness, A. Kaszniak, Ed. World Scientific Publishers, Tokyo, 2001, 426--443.
[18]
Vinh, N., Epps, J., and Bailey, J. Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance. The Journal of Machine Learning Research 11 (2010), 2837--54.

Cited By

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  • (2019)Query Recommendation to Draw a Laugh from Web SearchersProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366045(556-562)Online publication date: 2-Dec-2019
  • (2018)Capturing, Representing, and Interacting with LaughterProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173932(1-12)Online publication date: 21-Apr-2018
  • (2016)Automated Laughter Detection From Full-Body MovementsIEEE Transactions on Human-Machine Systems10.1109/THMS.2015.248084346:1(113-123)Online publication date: Feb-2016
  • Show More Cited By

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  1. How is your laugh today?

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    Published In

    cover image ACM Conferences
    CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
    April 2014
    2620 pages
    ISBN:9781450324748
    DOI:10.1145/2559206
    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: 26 April 2014

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    Author Tags

    1. body movement analysis
    2. laughter detection

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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

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    CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2019)Query Recommendation to Draw a Laugh from Web SearchersProceedings of the 21st International Conference on Information Integration and Web-based Applications & Services10.1145/3366030.3366045(556-562)Online publication date: 2-Dec-2019
    • (2018)Capturing, Representing, and Interacting with LaughterProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173932(1-12)Online publication date: 21-Apr-2018
    • (2016)Automated Laughter Detection From Full-Body MovementsIEEE Transactions on Human-Machine Systems10.1109/THMS.2015.248084346:1(113-123)Online publication date: Feb-2016
    • (2016)Quantitative Laughter Detection, Measurement, and Classification—A Critical SurveyIEEE Reviews in Biomedical Engineering10.1109/RBME.2016.25276389(148-162)Online publication date: 2016
    • (2016)Emotion and Body-Based Games: Overview and OpportunitiesEmotion in Games10.1007/978-3-319-41316-7_14(235-255)Online publication date: 4-Nov-2016
    • (2016)Laughter Research: A Review of the ILHAIRE ProjectToward Robotic Socially Believable Behaving Systems - Volume I10.1007/978-3-319-31056-5_9(147-181)Online publication date: 22-Mar-2016
    • (2015)Laughing with a Virtual AgentProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773452(1817-1818)Online publication date: 4-May-2015

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