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Diagram Presentation using Loudspeaker Matrix for Visually Impaired People: Sound Characteristics for their Pattern Recognition

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Published:25 February 2016Publication History

ABSTRACT

People with total visual impairments experience difficulty in understanding graphical information. They can comprehend graphics through tactile devices including pin matrices with audio characteristics presented using voice. Although these systems can represent static figures, it is difficult to use them for presenting moving images or details of high-resolution images. For solving this issue, we focused on the characteristics of auditory perception, including time resolution and frequency detection. In this paper, we propose a loudspeaker matrix system that displays 2D patterns such as trajectories or figures. We mainly investigated the design implications of acoustic presentation methods, including readily perceivable sound paths. The results indicate that effective presentation with a loudspeaker matrix would be realized by imposing the following conditions: sound type and duration should be determined as white noise and adjusted for the individual user, respectively.

References

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  • Published in

    cover image ACM Other conferences
    AH '16: Proceedings of the 7th Augmented Human International Conference 2016
    February 2016
    258 pages
    ISBN:9781450336802
    DOI:10.1145/2875194

    Copyright © 2016 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 February 2016

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    Qualifiers

    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    AH '16 Paper Acceptance Rate21of138submissions,15%Overall Acceptance Rate121of306submissions,40%

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