The multidimensional analysis of asymmetries in alphabetic confusion matrices: Evidence for global-to-local and local-to-global processing

This study examined the ability of an asymmetric multidimensional scaling program (DEDICOM) to reveal information about letter-perception processes. To demonstrate its potential, we applied it to the controversy concerning local-to-global versus global-to-local letter perception. These two theories lead to different predictions about stimulus confusion asymmetries. Since DEDICOM is capable of recovering the structure of asymmetric or directional patterns, it should reveal whether a stimulus-response confusion matrix contains patterns of asymmetry more consistent with one or the other perceptual theory. This was tested using two data sets. The first (from Lupker, 1979) revealed an additive hierarchy of asymmetry strongly consistent with global-tolocal processing, although unexpected additional structure and reliable anomalies indicated the need for a more refined theoretical account. The second (a full alphabetic confusion matrix combining data from Gilmore et al., 1979; Loomis, 1982; and Towasend, 1971) revealed five distinct patterns, each consisting of transformations attributable to the failure to detect specific local letter features. This solution strengthened support for local-to-global processing, in sharp contrast to the first analysis. Possible reasons for this divergence are discussed, including differences in the stimuli, exposure durations, and a hypothetical two-stage process of perception. Despite their differences, both solutions demonstrated how asymmetric scaling can reveal structure in asymmetries, which is relevant to perceptual theory and which would have been difficult to recover by other means.

[1]  H. Kaiser,et al.  Oblique factor analytic solutions by orthogonal transformations , 1964 .

[2]  J T Townsend,et al.  Experimental test of contemporary mathematical models of visual letter recognition. , 1982, Journal of experimental psychology. Human perception and performance.

[3]  H. Bouma Visual recognition of isolated lower-case letters. , 1971, Vision research.

[4]  S Coffin,et al.  Spatial frequency analysis of block letters does not predict experimental confusions , 1978, Perception & psychophysics.

[5]  J. Townsend Theoretical analysis of an alphabetic confusion matrix , 1971 .

[6]  L M Ward,et al.  Determinants of attention to local and global features of visual forms. , 1982, Journal of experimental psychology. Human perception and performance.

[7]  J M Loomis,et al.  Analysis of tactile and visual confusion matrices , 1982, Perception & psychophysics.

[8]  Grover C. Gilmore,et al.  Multidimensional letter similarity: A reply to Mewhort and Dow , 1979 .

[9]  T. Künnapas,et al.  Visual perception of capital letters. Multidimensional ratio scaling and multidimensional similarity. , 1966, Scandinavian journal of psychology.

[10]  M. S. Mayzner,et al.  Application of geometric models to letter recognition: distance and density. , 1982, Journal of experimental psychology. General.

[11]  Sharon L. Weinberg,et al.  Confidence regions for INDSCAL using the jackknife and bootstrap techniques , 1984 .

[12]  G C Gilmore,et al.  Multidimensional letter similarity derived from recognition errors , 1979, Perception & psychophysics.

[13]  James T. Townsend,et al.  A test of visual feature sampling independence with orthogonal straight lines , 1980 .

[14]  R. Harshman,et al.  A Model for the Analysis of Asymmetric Data in Marketing Research , 1982 .

[15]  D. Navon Forest before trees: The precedence of global features in visual perception , 1977, Cognitive Psychology.

[16]  Donald A. Norman,et al.  Human Information Processing. , 1971 .

[17]  J T Townsend,et al.  Modeling feature perception in brief displays with evidence for positive interdependencies , 1984, Perception & psychophysics.

[18]  W. R. Garner,et al.  Letter identification as a function of type of perceptual limitation and type of attribute. , 1978, Journal of experimental psychology. Human perception and performance.

[19]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[20]  Naohito Chino,et al.  A GRAPHICAL TECHNIQUE FOR REPRESENTING THE ASYMMETRIC RELATIONSHIPS BETWEEN N OBJECTS , 1978 .

[21]  L. H. Geyer,et al.  Feature lists and confusion matrices , 1973 .

[22]  G. Keren,et al.  Recognition models of alphanumeric characters. , 1981, Perception & psychophysics.

[23]  John C. Gower,et al.  Graphical Representation of Asymmetric Matrices , 1978 .

[24]  S. Appelle Perception and discrimination as a function of stimulus orientation: the "oblique effect" in man and animals. , 1972, Psychological bulletin.

[25]  M. S. Mayzner,et al.  Tables of single-letter and digram frequency counts for various word-length and letter-position combinations. , 1965 .

[26]  David Navon Do attention and decision follow perception Comment on Miller. , 1981 .

[27]  C. Krumhansl,et al.  Density versus feature weights as predictors of visual identifications: comment on Appelman and Mayzner. , 1982, Journal of experimental psychology. General.

[28]  Waldo R. Tobler,et al.  Spatial Interaction Patterns , 1976 .

[29]  Lloyd H. Nakatani,et al.  Confusion-choice model for multidimensional psychophysics ☆ , 1972 .

[30]  D. G. Weeks,et al.  Restricted multidimensional scaling models , 1978 .

[31]  Douglas J. K. Mewhort,et al.  Multidimensional letter similarity: A confound with brightness? , 1979 .

[32]  C. Krumhansl Concerning the applicability of geometric models to similarity data: The interrelationship between similarity and spatial density. , 1978 .

[33]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[34]  S. Lupker On the nature of perceptual information during letter perception , 1979, Perception & psychophysics.

[35]  A. Tversky Features of Similarity , 1977 .

[36]  G Wolford,et al.  Perturbation model for letter identification. , 1975, Psychological review.

[37]  J Wandmacher,et al.  Multicomponent theory of perception , 1976, Psychological research.