Paper
7 April 1995 Navigating with sound using a perceptually linearized sound space
Stephen Barrass, Philip K. Robertson
Author Affiliations +
Proceedings Volume 2410, Visual Data Exploration and Analysis II; (1995) https://doi.org/10.1117/12.205963
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
There is a growing need for systematic control over, and interpretation of, sound to support visual and other sensory mechanisms. A major drawback of many multi-sensory systems is that achieving sensory alignment is difficult if the perceived response to adjustments is not intuitively predictable. Perceptual spaces attempt to provide predictable perceived response to the adjustment of parameters, both in terms of identification of major attributes of change, and in terms of uniformity of perceived change with degree of movement or adjustment. Such spaces have been used to advantage for color representations of data under static viewing conditions. It is possible to construct a perceptual sound space, using the same principles used to construct perceptual color spaces, by drawing on studies identifying sound attributes and their degree of perceptibility. Such a space can be used as a basis for encoding data characteristics by sound attributes, although the temporal nature of sound perception poses `gamut' interpretation distinctions from the analogous color spaces. This paper describes a perceptual sound space based on a pitch-brightness-timbre orthogonalization and linearization against perceived stimuli. The suitability of sound, controlled within this perceptual sound space, for data representation and navigation of complex information spaces is investigated.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Barrass and Philip K. Robertson "Navigating with sound using a perceptually linearized sound space", Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); https://doi.org/10.1117/12.205963
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Associative arrays

Visualization

Control systems

Sensors

Computer programming

Diamond

Human-machine interfaces

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