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Synthesizing auditory icons
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the INTERACT '93 and CHI '93 conference on Human factors in computing systems table of contents
Amsterdam, The Netherlands
Pages: 228 - 235  
Year of Publication: 1993
ISBN:0-89791-575-5
Author
William W. Gaver  Rank Xerox Cambridge EuroPARC, 61 Regent Street, Cambridge CB2 1AB, U.K.
Sponsors
NGI : Dutch Computer Soc - Nederlands Genoostschapvoor Informatica
Human Factors Soc : Human Factors Society
IEEE-CS : Computer Society
IFIP : International Federation for Information Processing
SIGCAPH: ACM SIGCAPH Computers and the Physically Handicapped
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGGROUP: ACM Special Interest Group on Supporting Group Work
Austrian Comp Soc : Austrian Computer Society
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 13,   Downloads (12 Months): 81,   Citation Count: 19
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ABSTRACT

Auditory icons add valuable functionality to computer interfaces, particularly when they are parameterized to convey dimensional information. They are difficult to create and manipulate, however, because they usually rely on digital sampling techniques. This paper suggests that new synthesis algorithms, controlled along dimensions of events rather than those of the sounds themselves, may solve this problem. Several algorithms, developed from research on auditory event perception, are described in enough detail here to permit their implementation. They produce a variety of impact, bouncing, breaking, scraping, and machine sounds. By controlling them with attributes of relevant computer events, a wide range of parameterized auditory icons may be created.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Blattner, M., Sumikawa, D., & Greenberg, R. Earcons and icons: Their structure and common design principles. Human-Computer Interaction, 4 (1989).
 
2
Chowning, J. The synthesis of complex audio spectra by means of frequency modulation. Journal of the Audio Engineering Society, 21 (1973): 526-534.
 
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Freed, D. Auditory correlates of perceived mallet hardness for a set of recorded percussive sound events. Journal of the Acoustical Society of America, 87 (1990): 311-322.
 
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Gaver, W. The SonicFinder: An interface that uses auditory icons. Human-Computer Interaction, 4 (1989): 67-94.
 
8
Gaver, W. What in the world do we hear? An ecological approach to auditory source perception. Ecological Psychology, 5 (1993): 1-29.
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10
Lamb, H. The dynamical theory of sound. 2nd ed. New York, Dover, 1960.
 
11
Risset, J., & Wessel, D. Exploration of timbre by analysis and synthesis. In D. Deutsch (Ed.), The psychology of music. New York: Academic Press, 1982.
 
12
Smith, R. A prototype futuristic technology for distance education. Proceedings of the NATO Advanced Workshop on New Directions in Educational Technology. (Nov. 10- 13, 1988, Cranfield, UK.)
 
13
Warren, W. & Verbrugge, R. Auditory perception of breaking and bouncing events: A case study in ecological acoustics. Journal of Experimental Psychology: Human Perception and Performance, 10 (1984): 704- 712.
 
14
Wildes, R., & Richards, W. Recovering material properties from sound. Richards, W. (ed.), Natural computation. Cambridge, MA: MIT Press, 1988.

CITED BY  19