ASA 127th Meeting M.I.T. 1994 June 6-10

4pPP28. Decision strategies in information integration.

Daniel L. Weber

Stephen P. Sanger

Dept. of Psychol., Wright State Univ., Dayton, OH 45435

In separate conditions, four listeners discriminated samples from distributions of the duration of a 1-kHz sinusoid and from distributions of the frequency of a 100-ms sinusoid in a 2IFC, sample-discrimination procedure. For duration discrimination, the ``standard'' distribution (100-ms mean) was discriminated from an ``easy'' comparison (140-ms mean) distribution and from a ``hard'' comparison (110-ms mean) distribution. For frequency discrimination, the ``standard'' distribution (1000-Hz mean) was discriminated from an ``easy'' comparison (1400-Hz mean) distribution and a ``hard'' comparison (1010-Hz mean) distribution. Standard and comparison distributions were normal with standard deviations set to the difference in their means so that all conditions yielded a d' of 1.41 for an ideal observer. Pooled (all n samples from a given distribution presented in succession) and paired (one sample from each distribution presented in n successive pairs) presentation structures were tested for these four combinations of standard and comparison distributions. Information integration, represented by the increase in d' as a function of the number of samples (n=1, 2, 3, 4, 5, 6, 8, 12, and 16), was examined in all eight conditions. Pooled presentations uniformly led to better performance. The partitioned-variance model and the decision-combination model were used to represent different strategies for information integration in these data. [Research supported by a grant from AFOSR through WPAFB AL/CFBA.]