• Login
    View Item 
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Measuring the effects of display design and individual differences on the utilization of multi-stream sonifications

    Thumbnail
    View/Open
    SCHUETT-DISSERTATION-2019.pdf (867.6Kb)
    Date
    2019-07-30
    Author
    Schuett, Jonathan Henry
    Metadata
    Show full item record
    Abstract
    Previous work in the auditory display community has discussed the impact of both display design and individual listener differences on how successfully listeners can use a sonification. This dissertation extends past findings and explores the effects of display and individual differences on listeners’ ability to utilize a sonification for an analytical listening task when multiple variables are presented simultaneously. This is considered a more complicated task and pushes listeners’ perceptual abilities, but is necessary when wanting to use sonifications to display more detailed information about a dataset. The study used a two by two between- subjects approach to measure the effects of display design and domain mapping. Acoustic parameters were assigned to either the weather or the health domain, and these mappings were either created by an expert sound designer or arbitrarily assigned. The acoustic parameters were originally selected for the weather domain, so those display conditions were expected to result in higher listener accuracy. Results showed that the expert mapped weather sonification led to higher mean listener accuracy than the arbitrarily mapped health display when listeners did not have time to practice, however with less than an hour of practice the significant main effects of design and domain mapping went away and mean accuracy scores increased to a similar level. This dissertation introduces two models for predicting listener accuracy scores, the first model uses musical sophistication and self-reported motivation scores to predict listener accuracy on the task before practice. The second model uses musical sophistication, self-reported motivation, and listening discrimination scores to predict listener accuracy on the sonification task after practice.
    URI
    http://hdl.handle.net/1853/61808
    Collections
    • Georgia Tech Theses and Dissertations [23877]
    • School of Psychology Theses and Dissertations [725]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology