Density versus feature weights as predictors of visual identifications: comment on Appelman and Mayzner.

@article{Krumhansl1982DensityVF,
  title={Density versus feature weights as predictors of visual identifications: comment on Appelman and Mayzner.},
  author={Carol Krumhansl},
  journal={Journal of experimental psychology. General},
  year={1982},
  volume={111 1},
  pages={101-8}
}
  • Carol Krumhansl
  • Published 1982 in Journal of experimental psychology. General
Appleman and Mayzner's application of the distance-density model to confusion data is compared with Keren and Baggen's application of the feature-matching model. In both applications, the distinctive features of two stimuli are predictors of the number of confusion errors. However, the models differ in that the feature-matching model assigns weights to the features and assumes that the shared feature weights also affect the probability of confusion. In contrast, the distance-density model… CONTINUE READING

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