An Exploration of Virtual Auditory Shape Perception
![]()
![]()
![]()
The virtual auditory field display is a time independent approach to auditory shape presentation. Lakatos [1993a] and I have taken different interpretations of the work of Perrott [1984a]. Lakatos was of the opinion that: "...directional hearing has been shown to be ineffective in the discrimination of several simultaneous sound sources" [Lakatos, 1993a, p. 364]. He cites Perrott's study as evidence. However, I believe that Perrott's study shows how to enable concurrent spatial sensitivity in audition. Perrott found that when the sources are offset by a frequency difference of 43 Hz, the concurrent minimum audible angle was as small as 5deg.. This may be considerably worse than the <1deg. for a single source, but would still be quite usable.
Another advantage of this kind of simultaneous presentation is that it should produce the kind of extended images observed by von Békésy [1960] and Perrott [1984b]. This might "fill out" the images presented, giving them more solidity. Unfortunately, to my knowledge, no studies of extended images with more than two sources have been published.
Auditory Field Shape
Figure 10.2
Auditory Field Experiment Interface
Analysis of Variance of Auditory Field Experiment
Source Sum-Of-Squares DF Mean-Square F-Ratio P Subject 2.948 6 0.491 3.180 0.005 Shape 2.390 5 0.478 3.095 0.009 Subject x Shape 8.110 30 0.270 1.750 0.010 Error 58.400 378 0.154
However, the performance of one of the subjects was twice as good as any of the others (see figure 10.3). If this subject is treated as an anomaly-- a freak of nature, an abomination on the face of the earth-- then the overall average performance is only 18.9% correct, which is not significantly better than random (T = 1.076, DF = 359, P = 0.283). Without this subject, there are no longer significant effects due to subjects or shapes, but there remains a significant interaction between subjects and shapes (see table 10.2).
Analysis of Variance of Auditory Field Experiment Without Subject AH
Source Sum-Of-Squares DF Mean-Square F-Ratio P Subject 0.656 5 0.131 0.908 0.476 Shape 1.056 5 0.211 1.462 0.202 Subject X Shape 6.644 25 0.266 1.840 0.009 Error 46.800 324 0.144
Figure 10.3
Identification Performance on Auditory Field Experiment
In order to best view the subject by shape interaction, I have collected the t-test significance levels in a matrix (table 10.3).
T-Test of Better than Random Recognition for Auditory Field Display
SHAPE AH CD KH KS RJ RM TM All but
AH
1 0.203 - 0.038 0.093 * * - 0.742
2 0.038 - - 0.013 - 0.203 0.203 0.525
3 - 0.404 - - 0.404 * 0.203 -
4 0.001 0.404 0.404 0.203 0.038 0.404 0.093 0.029
5 0.2027 - 0.2027 - - 0.404 * -
6 0.093 - 0.404 * 0.203 0.203 - 1
All 0.001 - 0.231 0.145 1 0.525 - 0.283
Values
are significance probabilitiesDashes indicate (not significantly) worse than random performance
Asterisks indicate 0 correct identifications
The only shape that was identified with significantly better than chance accuracy was shape 4. This shape is distinguished from the other shapes in two main aspects. The first is that it is a closed loop, with two pixels overlapping. The second, and probably more important distinction is that it is smaller than the other shapes. Two of the subjects mentioned that they noticed this difference.
A cluster analysis did not produce any useful groupings. The confusion matrix is shown in figure 10.4.
Auditory Field Shape Presented
Figure 10.4 We apologize. This image does not translate to HTML.