Brain computer interfaces as intelligent sensors for enhancing human-computer interaction

Mannes Poel, Femke Nijboer, Egon van den Broek, Stephen Fairclough

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

    4 Citations (Scopus)
    48 Downloads (Pure)

    Abstract

    BCIs are traditionally conceived as a way to control apparatus, an interface that allows you to "act on" external devices as a form of input control. We propose an alternative use of BCIs, that of monitoring users as an additional intelligent sensor to enrich traditional means of interaction. This vision is what we consider to be a grand challenge in the field of multimodal interaction. In this article, this challenge is introduced, related to existing work, and illustrated using some best practices and the contributions it has received
    Original languageUndefined
    Title of host publicationProceedings 14th ACM International Conference on Multimodal Interaction (ICMI'12)
    EditorsLouis-Philippe Morency, Dan Bohus, Hamid Aghajan, Antinus Nijholt, Justine Cassell, Julien Epps
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Pages379-382
    Number of pages4
    ISBN (Print)978-1-4503-1467-1
    DOIs
    Publication statusPublished - 27 Oct 2012
    Event14th International Conference on Multimodal Interaction, ICMI 2012 - Santa Monica, United States
    Duration: 22 Oct 201226 Oct 2012
    Conference number: 14

    Publication series

    Name
    PublisherACM

    Conference

    Conference14th International Conference on Multimodal Interaction, ICMI 2012
    Abbreviated titleICMI
    CountryUnited States
    CitySanta Monica
    Period22/10/1226/10/12

    Keywords

    • HMI-MI: MULTIMODAL INTERACTIONS
    • EWI-22418
    • Intelligent sensors
    • IR-83388
    • Human-Computer Interaction (HCI)
    • METIS-289753
    • Brain-Computer Interface (BCI)

    Cite this

    Poel, M., Nijboer, F., van den Broek, E., & Fairclough, S. (2012). Brain computer interfaces as intelligent sensors for enhancing human-computer interaction. In L-P. Morency, D. Bohus, H. Aghajan, A. Nijholt, J. Cassell, & J. Epps (Eds.), Proceedings 14th ACM International Conference on Multimodal Interaction (ICMI'12) (pp. 379-382). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2388676.2388761
    Poel, Mannes ; Nijboer, Femke ; van den Broek, Egon ; Fairclough, Stephen. / Brain computer interfaces as intelligent sensors for enhancing human-computer interaction. Proceedings 14th ACM International Conference on Multimodal Interaction (ICMI'12). editor / Louis-Philippe Morency ; Dan Bohus ; Hamid Aghajan ; Antinus Nijholt ; Justine Cassell ; Julien Epps. New York : Association for Computing Machinery (ACM), 2012. pp. 379-382
    @inproceedings{e7e334a9044546dfa40365e82c87589a,
    title = "Brain computer interfaces as intelligent sensors for enhancing human-computer interaction",
    abstract = "BCIs are traditionally conceived as a way to control apparatus, an interface that allows you to {"}act on{"} external devices as a form of input control. We propose an alternative use of BCIs, that of monitoring users as an additional intelligent sensor to enrich traditional means of interaction. This vision is what we consider to be a grand challenge in the field of multimodal interaction. In this article, this challenge is introduced, related to existing work, and illustrated using some best practices and the contributions it has received",
    keywords = "HMI-MI: MULTIMODAL INTERACTIONS, EWI-22418, Intelligent sensors, IR-83388, Human-Computer Interaction (HCI), METIS-289753, Brain-Computer Interface (BCI)",
    author = "Mannes Poel and Femke Nijboer and {van den Broek}, Egon and Stephen Fairclough",
    note = "10.1145/2388676.2388761",
    year = "2012",
    month = "10",
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    doi = "10.1145/2388676.2388761",
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    publisher = "Association for Computing Machinery (ACM)",
    pages = "379--382",
    editor = "Louis-Philippe Morency and Dan Bohus and Hamid Aghajan and Antinus Nijholt and Justine Cassell and Julien Epps",
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    address = "United States",

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    Poel, M, Nijboer, F, van den Broek, E & Fairclough, S 2012, Brain computer interfaces as intelligent sensors for enhancing human-computer interaction. in L-P Morency, D Bohus, H Aghajan, A Nijholt, J Cassell & J Epps (eds), Proceedings 14th ACM International Conference on Multimodal Interaction (ICMI'12). Association for Computing Machinery (ACM), New York, pp. 379-382, 14th International Conference on Multimodal Interaction, ICMI 2012, Santa Monica, United States, 22/10/12. https://doi.org/10.1145/2388676.2388761

    Brain computer interfaces as intelligent sensors for enhancing human-computer interaction. / Poel, Mannes; Nijboer, Femke; van den Broek, Egon; Fairclough, Stephen.

    Proceedings 14th ACM International Conference on Multimodal Interaction (ICMI'12). ed. / Louis-Philippe Morency; Dan Bohus; Hamid Aghajan; Antinus Nijholt; Justine Cassell; Julien Epps. New York : Association for Computing Machinery (ACM), 2012. p. 379-382.

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

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    N2 - BCIs are traditionally conceived as a way to control apparatus, an interface that allows you to "act on" external devices as a form of input control. We propose an alternative use of BCIs, that of monitoring users as an additional intelligent sensor to enrich traditional means of interaction. This vision is what we consider to be a grand challenge in the field of multimodal interaction. In this article, this challenge is introduced, related to existing work, and illustrated using some best practices and the contributions it has received

    AB - BCIs are traditionally conceived as a way to control apparatus, an interface that allows you to "act on" external devices as a form of input control. We propose an alternative use of BCIs, that of monitoring users as an additional intelligent sensor to enrich traditional means of interaction. This vision is what we consider to be a grand challenge in the field of multimodal interaction. In this article, this challenge is introduced, related to existing work, and illustrated using some best practices and the contributions it has received

    KW - HMI-MI: MULTIMODAL INTERACTIONS

    KW - EWI-22418

    KW - Intelligent sensors

    KW - IR-83388

    KW - Human-Computer Interaction (HCI)

    KW - METIS-289753

    KW - Brain-Computer Interface (BCI)

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    A2 - Morency, Louis-Philippe

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    PB - Association for Computing Machinery (ACM)

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    Poel M, Nijboer F, van den Broek E, Fairclough S. Brain computer interfaces as intelligent sensors for enhancing human-computer interaction. In Morency L-P, Bohus D, Aghajan H, Nijholt A, Cassell J, Epps J, editors, Proceedings 14th ACM International Conference on Multimodal Interaction (ICMI'12). New York: Association for Computing Machinery (ACM). 2012. p. 379-382 https://doi.org/10.1145/2388676.2388761