Enhancing scanning input with non-speech sounds

Stephen Brewster, Veli-Pekka Räty, Atte Kortekangas

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

    15 Citations (Scopus)

    Abstract

    This paper proposes the addition of non-speech sounds to aid people who use scanning as their method of input. Scanning input is a temporal task; users have to press a switch when a cursor is over the required target. However, it is usually presented as a spatial task with the items to be scanned laid-out in a grid. Research has shown that for temporal tasks the auditory modality is often better than the visual. This paper investigates this by adding non-speech sound to a visual scanning system. It also shows how our natural abilities to perceive rhythms can be supported so that they can be used to aid the scanning process. Structured audio messages called Earcons were used for the sound output. The results from a preliminary investigation were favourable, indicating that the idea is feasible and further research should be undertaken.
    Original languageEnglish
    Title of host publicationAssets '96
    Subtitle of host publicationProceedings of the second annual ACM conference on Assistive technologies
    EditorsEphraim P. Glinert, David L. Jaffe
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery ACM
    Pages10-14
    ISBN (Print)978-0-89791-776-6
    DOIs
    Publication statusPublished - 1996
    MoE publication typeA4 Article in a conference publication
    Event2nd ACM/SIGCAPH Conference on Assistive Technologies (ASSETS'96) - Vancouver, Canada
    Duration: 11 Apr 199612 Apr 1996

    Conference

    Conference2nd ACM/SIGCAPH Conference on Assistive Technologies (ASSETS'96)
    CountryCanada
    CityVancouver
    Period11/04/9612/04/96

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  • Cite this

    Brewster, S., Räty, V-P., & Kortekangas, A. (1996). Enhancing scanning input with non-speech sounds. In E. P. Glinert, & D. L. Jaffe (Eds.), Assets '96: Proceedings of the second annual ACM conference on Assistive technologies (pp. 10-14). Association for Computing Machinery ACM. https://doi.org/10.1145/228347.228350