Human-Computer Interaction for BCI Games: Usability and User Experience

D. Plass - Oude Bos, B. Reuderink, B.L.A. van de Laar, Hayrettin Gürkök, C. Mühl, Mannes Poel, Dirk K.J. Heylen, Antinus Nijholt

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

    52 Citations (Scopus)
    302 Downloads (Pure)

    Abstract

    Brain-computer interfaces (BCI) come with a lot of issues, such as delays, bad recognition, long training times, and cumbersome hardware. Gamers are a large potential target group for this new interaction modality, but why would healthy subjects want to use it? BCI provides a combination of information and features that no other input modality can offer. But for general acceptance of this technology, usability and user experience will need to be taken into account when designing such systems. This paper discusses the consequences of applying knowledge from Human-Computer Interaction (HCI) to the design of BCI for games. The integration of HCI with BCI is illustrated by research examples and showcases, intended to take this promising technology out of the lab. Future research needs to move beyond feasibility tests, to prove that BCI is also applicable in realistic, real-world settings.
    Original languageUndefined
    Title of host publicationProceedings of the International Conference on CYBERWORLDS 2010
    EditorsA. Sourin
    Place of PublicationLos Alamitos
    PublisherIEEE
    Pages277-281
    Number of pages5
    ISBN (Print)978-0-7695-4215-7
    DOIs
    Publication statusPublished - 20 Oct 2010
    EventInternational Conference on CYBERWORLDS 2010 - Singapore
    Duration: 20 Oct 201022 Oct 2010

    Publication series

    Name
    PublisherIEEE Computer Society Press

    Conference

    ConferenceInternational Conference on CYBERWORLDS 2010
    Period20/10/1022/10/10
    Other20-22 Oct 2010

    Keywords

    • METIS-277409
    • Affective Computing
    • Brain-Computer Interfaces
    • IR-74051
    • Games
    • HMI-HF: Human Factors
    • EWI-18057
    • psychophysiological signals
    • Physiological computing
    • HMI-MI: MULTIMODAL INTERACTIONS
    • Multi-modal interaction

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