Analyzing Nonverbal Listener Responses using Parallel Recordings of Multiple Listeners

I.A. de Kok, Dirk K.J. Heylen

    Research output: Contribution to journalArticleAcademicpeer-review

    3 Citations (Scopus)
    52 Downloads (Pure)

    Abstract

    In this paper we study nonverbal listener responses on a corpus with multiple parallel recorded listeners. These listeners were meant to believe that they were the sole listener, while in fact there were three persons listening to the same speaker. The speaker could only see one of the listeners. We analyze the impact of the particular setup of the corpus on the behavior and perception of the two types of listeners; the listeners that could be seen by the speaker and the listeners that could not be seen. Furthermore we compare the nonverbal listening behaviors of these three listeners to each other with regard to timing and form. We correlate these behaviors with behaviors of the speaker, like pauses and whether the speaker is looking at the listeners or not.
    Original languageUndefined
    Pages (from-to)499-506
    Number of pages8
    JournalCognitive processing
    Volume13
    Issue number2
    DOIs
    Publication statusPublished - Feb 2012

    Keywords

    • HMI-IA: Intelligent Agents
    • Backchannels
    • METIS-287853
    • EC Grant Agreement nr.: FP7/231287
    • IR-79865
    • EWI-21420
    • corpus analysis
    • Social Signals
    • Listener Responses

    Cite this

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    title = "Analyzing Nonverbal Listener Responses using Parallel Recordings of Multiple Listeners",
    abstract = "In this paper we study nonverbal listener responses on a corpus with multiple parallel recorded listeners. These listeners were meant to believe that they were the sole listener, while in fact there were three persons listening to the same speaker. The speaker could only see one of the listeners. We analyze the impact of the particular setup of the corpus on the behavior and perception of the two types of listeners; the listeners that could be seen by the speaker and the listeners that could not be seen. Furthermore we compare the nonverbal listening behaviors of these three listeners to each other with regard to timing and form. We correlate these behaviors with behaviors of the speaker, like pauses and whether the speaker is looking at the listeners or not.",
    keywords = "HMI-IA: Intelligent Agents, Backchannels, METIS-287853, EC Grant Agreement nr.: FP7/231287, IR-79865, EWI-21420, corpus analysis, Social Signals, Listener Responses",
    author = "{de Kok}, I.A. and Heylen, {Dirk K.J.}",
    note = "Open Access",
    year = "2012",
    month = "2",
    doi = "10.1007/s10339-012-0434-3",
    language = "Undefined",
    volume = "13",
    pages = "499--506",
    journal = "Cognitive processing",
    issn = "1612-4782",
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    Analyzing Nonverbal Listener Responses using Parallel Recordings of Multiple Listeners. / de Kok, I.A.; Heylen, Dirk K.J.

    In: Cognitive processing, Vol. 13, No. 2, 02.2012, p. 499-506.

    Research output: Contribution to journalArticleAcademicpeer-review

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    T1 - Analyzing Nonverbal Listener Responses using Parallel Recordings of Multiple Listeners

    AU - de Kok, I.A.

    AU - Heylen, Dirk K.J.

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    AB - In this paper we study nonverbal listener responses on a corpus with multiple parallel recorded listeners. These listeners were meant to believe that they were the sole listener, while in fact there were three persons listening to the same speaker. The speaker could only see one of the listeners. We analyze the impact of the particular setup of the corpus on the behavior and perception of the two types of listeners; the listeners that could be seen by the speaker and the listeners that could not be seen. Furthermore we compare the nonverbal listening behaviors of these three listeners to each other with regard to timing and form. We correlate these behaviors with behaviors of the speaker, like pauses and whether the speaker is looking at the listeners or not.

    KW - HMI-IA: Intelligent Agents

    KW - Backchannels

    KW - METIS-287853

    KW - EC Grant Agreement nr.: FP7/231287

    KW - IR-79865

    KW - EWI-21420

    KW - corpus analysis

    KW - Social Signals

    KW - Listener Responses

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