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The audio abacus: representing numerical values with nonspeech sound for the visually impaired

Published: 01 September 2003 Publication History

Abstract

Point estimation is a relatively unexplored facet of sonification. We present a new computer application, the Audio Abacus, designed to transform numbers into tones following the analogy of an abacus. As this is an entirely novel approach to sonifying exact data values, we have begun a systematic line of investigation into the application settings that work most effectively. Results are presented for an initial study. Users were able to perform relatively well with very little practice or training, boding well for this type of display. Further investigations are planned. This could prove to be very useful for visually impaired individuals given the common nature of numerical data in everyday settings.

References

[1]
G. Kramer, B. N. Walker, T. Bonebright, P. Cook, J. Flowers, N. Miner, J. Neuhoff, R. Bargar, S. Barrass, J. Berger, G. Evreinov, W. T. Fitch, M. Gröhn, S. Handel, H. Kaper, H. Levkowitz, S. Lodha, B. Shinn-Cunningham, M. Simoni, and S. Tipei, "The Sonification Report: Status of the Field and Research Agenda. Report prepared for the National Science Foundation by members of the International Community for Auditory Display," International Community for Auditory Display (ICAD), Santa Fe, NM 1999.
[2]
B. N. Walker and G. Kramer, "Mappings and metaphors in auditory displays: an experimental assessment," presented at 3rd International Conference on Auditory Display (ICAD96), Palo Alto, CA, 1996.
[3]
J. A. Gardner, R. Lundquist, and S. Sahyun, "TRIANGLE: A practical application of non-speech audio for imparting information," presented at International Conference on Auditory Display, Palo Alto, CA, 1996.
[4]
T. T. Hermann, P. Meinicke, and H. Ritter, "Principle curve sonification," presented at International Conference on Auditory Display, Atlanta, GA, 2000.
[5]
B. Sturm, "Sonification of particle systems via de Broglie's hypothesis," presented at International Conference on Auditory Display, Atlanta, GA, 2000.
[6]
J. H. Flowers, L. E. Whitwer, D. Grafel, C, and C. A. Kotan, "Sonification of daily weather records: Issues of perception, attention, and memory in design choices," presented at International Conference on Auditory Display, Espoo, Finland, 2001.
[7]
K. V. Nesbitt and S. Barrass, "Evaluation of a multimodal sonification and visualization of depth of market stock data.," presented at International Conference on Auditory Display, Kyoto, Japan, 2002.
[8]
N. E. Miner and T. P. Caudell, "Using wavelets to synthesize stochastic-based sounds for immersive virtual environments," presented at International Conference on Auditory Display, Palo Alto, CA, 1997.
[9]
H. Petrie and S. Morley, "The use of non-speech sounds in non-visual interfaces to the MS-Windows GUI for blind computer users," presented at International Conference on Auditory Display, Glasgow, UK, 1998.
[10]
J. H. Flowers and T. A. Hauer, "Musical versus visual graphs: Cross-modal equivalence in perception of time series data," Human Factors, vol. 37, pp. 553--569, 1995.
[11]
J. H. Flowers, D. C. Burham, and K. D. Turnage, "Cross-modal equivalance of visual and auditory scatterplots for exploring bivariate data samples," Human Factors, vol. 39, pp. 341--351, 1997.
[12]
T. L. Bonebright, M. A. Nees, T. T. Connerley, and G. R. McGain, "Testing the effectiveness of sonified graphs for education: A programmatic research project," presented at International Conference on Auditory Display, Espoo, Finland, 2001.
[13]
C. P. Peres and D. M. Lane, "Sonification of statistical graphs," presented at International Conference on Auditory Display, Boston, MA, 2003.
[14]
S. Barrass, "Auditory information design," Australian National University, 1997.
[15]
B. N. Walker, "Magnitude estimation of conceptual data dimensions for use in sonification," in Psychology Department. Houston, TX: Rice University, 2000.
[16]
D. R. Smith and B. N. Walker, "Tick-marks, axes, and label: The effects of adding context to auditory graphs," presented at International Conference on Auditory Display, Kyoto, Japan, 2002.
[17]
E. R. Tufte, Envisioning Information. Cheshire, CT: Graphics Press, 2001.
[18]
M. A. Quinones and A. Ehrenstein, "Psychological perspectives on training in organizations.," in Training for a Rapidly Changing Workplace: Applications of Psychological Research, M. A. Quinones and A. Ehrenstein, Eds. Washington, DC: American Psychological Association, 1997.
[19]
R. Upson, "Educational sonification exercises: Pathways for mathematics and musical achievement," presented at International Conference on Auditory Display, Kyoto, Japan, 2002.
[20]
B. N. Walker and D. M. Lane, "Psychophysical scaling of sonification mappings: A comparison of sighted and visually impaired listeners," presented at International Conference on Auditory Display, Espoo, Finland, 2001.

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Chaim M Scheff

Using an audio tone codex to represent visual information is sometimes applied to trend analysis (a "time series of sounds to represent a time-series of data"), and is sometimes used to express point estimation ("an exact audio representation of an exact visual, physical, logical value"). Point estimation via audio needs to convey an absolute metric equivalent of visual data, for example, a tone sequence conveying the price of an item. The audio abacus (AA) codex represents this quantity as a series of digital sonic impulses, wherein the variability of the impulses may be expressed as pitch, volume, and/or modulation, creating a point estimation codex representation that is seemingly easy for users to learn and correctly interpret. Previous research [1] notes that there are specific environmental hearing sensitivities of the visually impaired person that should not be put at conflict with sensory assistance devices. Specifically, designers should avoid very high frequencies, which deteriorate with age, and low and middle frequencies, used for interpersonal communications and environmental queueing. Thus, the practical AA codex should be above the speech and below the age-related hearing loss ranges. The AA codex reports good progress in the expression of point estimations via audio displays, in that ordinary users rapidly learn the AA system with reasonable accuracy and repeatability.

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Published In

cover image ACM Conferences
Assets '04: Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
October 2004
202 pages
ISBN:158113911X
DOI:10.1145/1028630
  • cover image ACM SIGACCESS Accessibility and Computing
    ACM SIGACCESS Accessibility and Computing Just Accepted
    Sept. 2003 - Jan. 2004
    192 pages
    EISSN:1558-1187
    DOI:10.1145/1029014
    Issue’s Table of Contents
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Published: 01 September 2003

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Author Tags

  1. auditory display
  2. data sonification
  3. value estimation
  4. visually impaired users

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Assets '04 Paper Acceptance Rate 25 of 47 submissions, 53%;
Overall Acceptance Rate 436 of 1,556 submissions, 28%

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