Spotting Agreement and Disagreement: A Survey of Nonverbal Audiovisual Cues and Tools

Konstantinos Bousmalis, Marc Mehu, Maja Pantic

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    50 Citations (Scopus)
    37 Downloads (Pure)

    Abstract

    While detecting and interpreting temporal patterns of non–verbal behavioral cues in a given context is a natural and often unconscious process for humans, it remains a rather difficult task for computer systems. Nevertheless, it is an important one to achieve if the goal is to realise a naturalistic communication between humans and machines. Machines that are able to sense social attitudes like agreement and disagreement and respond to them in a meaningful way are likely to be welcomed by users due to the more natural, efficient and human–centered interaction they are bound to experience. This paper surveys the nonverbal cues that could be present during agreement and disagreement behavioural displays and lists a number of tools that could be useful in detecting them, as well as a few publicly available databases that could be used to train these tools for analysis of spontaneous, audiovisual instances of agreement and disagreement.
    Original languageEnglish
    Title of host publicationProceedings 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
    Place of PublicationLos Alamitos, NJ
    PublisherIEEE Computer Society
    Pages1-9
    Number of pages9
    Volume2
    ISBN (Print)978-1-4244-4799-2
    DOIs
    Publication statusPublished - Sep 2009
    Event3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009 - Amsterdam, Netherlands
    Duration: 10 Sep 200912 Sep 2009
    Conference number: 3

    Conference

    Conference3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009
    Abbreviated titleACII
    CountryNetherlands
    CityAmsterdam
    Period10/09/0912/09/09

    Keywords

    • METIS-264469
    • IR-69693
    • EWI-17180
    • HMI-HF: Human Factors
    • EC Grant Agreement nr.: FP7/211486
    • HMI-MI: MULTIMODAL INTERACTIONS
    • EC Grant Agreement nr.: FP7/231287

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