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    Data Collection & Analysis Techniques for Evaluating the Perceptual Qualities of Auditory Stimuli

    International Conference on Auditory Display

    University of Glasgow, UK. 1st - 4th November 1998

    AUTHORS

    T.L. Bonebright, N.E. Miner, T.E. Goldsmith & T.P. Caudell

    ABSTRACT

    This paper describes a general methodological framework for evaluating the perceptual properties of auditory stimuli.

    The framework provides analysis techniques that can ensure the effective use of sound for a variety of applications including virtual reality and data sonification systems.

    Specifically, we discuss data collection techniques for the perceptual qualities of single auditory stimuli including identification tasks, context-based ratings, and attribute ratings.

    In addition, we present methods for comparing auditory stimuli, such as discrimination tasks, similarity ratings, and sorting tasks. Finally, we discuss statistical techniques that focus on the perceptual relations among stimuli, such as Multidimensional Scaling (MDS) and Pathfinder Analysis.

    These methods are presented as a starting point for an organized and systematic approach for non-experts in perceptual experimental methods, rather than as a complete manual for performing the statistical techniques and data collection methods.

    It is our hope that this paper will help foster further interdisciplinary collaboration among perceptual researchers, designers, engineers, and others in the development of effective auditory displays.

    PAPER FORMATS

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