Playing with your Brain: Brain-Computer Interfaces and Games

Anton Nijholt, Desney Tan

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

    28 Citations (Scopus)

    Abstract

    In this workshop we investigate a possible role of brain-computer interaction in computer games and entertainment computing. The assumption is that brain activity, whether it is consciously controlled and directed by the user or just recorded in order to obtain information about the user’s affective state, should be modeled in order to provide appropriate feedback and a context where brain activity information is one of the multi-modal interaction modalities that is provided to the user.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Advances in Computer Entertainment Technology (ACE 2007)
    EditorsRegina Bernhaupt, Manfred Tscheligi
    Place of PublicationNew York, NY
    PublisherAssociation for Computing Machinery (ACM)
    Pages305-306
    Number of pages2
    ISBN (Print)978-1-59593-640-0
    DOIs
    Publication statusPublished - 10 Jun 2007
    Event4th International Conference on Advances in Computer Entertainment Technology, ACE 2007 - Salzburg, Austria
    Duration: 13 Jun 200715 Jun 2007
    Conference number: 4

    Conference

    Conference4th International Conference on Advances in Computer Entertainment Technology, ACE 2007
    Abbreviated titleACE
    CountryAustria
    CitySalzburg
    Period13/06/0715/06/07

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    Keywords

    • EWI-10280
    • HMI-MI: MULTIMODAL INTERACTIONS
    • Multi-modal interaction
    • IR-61750
    • Brain-Computer Interfacing
    • Affect
    • METIS-241683
    • Games

    Cite this

    Nijholt, A., & Tan, D. (2007). Playing with your Brain: Brain-Computer Interfaces and Games. In R. Bernhaupt, & M. Tscheligi (Eds.), Proceedings of the International Conference on Advances in Computer Entertainment Technology (ACE 2007) (pp. 305-306). New York, NY: Association for Computing Machinery (ACM). https://doi.org/10.1145/1255047.1255140