Cartoon Faces Research Articles

Graphical representation of cancer incidence data: Chernoff faces.

The method introduced by Herman Chernoff in 1971 uses a computer to convert multivariate data to a cartoon face, the features of which are controlled by the variable values. This paper describes the application of a Chernoff-type face in cancer statistics. The technique is demonstrated with a subset of the data derived mainly from Vol.V of Cancer Incidence in Five Continents. A program in BASIC is used to draw on a dot matrix printer the cancer incidences faces representing eight variables: age-standardized incidence rate, proportion of incident cases, time trend in incidence, mean age at diagnosis, histological verification, mortality/incidence ratio, death certificate only cases and duration of cancer registration.

Perceptual asymmetries in left- and right-handers for cartoon and real faces

We examined 40 left-handers and 40 right-handers on two free-vision tests of face processing. A chimeric face composed of a smiling half-face joined to either a neutral half-face (real faces) or a sad half-face (cartoon faces) and its mirror image were presented on each trial. Subjects judged which chimeric face looked happier, the one with the smile to the left or the one with the smile to the right. Right-handers, but not left-handers, had a highly significant leftward attentional bias, since chimeras with the smile to the left were judged happier than those with the smile to the right. The cartoon- and real-face tasks did not differ in the mean perceptual asymmetries they elicited. However, correlations between attentional-asymmetry scores for the two tasks, although high for both left- and right-handers, were significantly smaller than task reliabilities. Thus, the cartoon-and real-face tasks overlap to a major extent in the lateralized processes they measure, but to a lesser extent, they also index different lateralized processes.

Analytic and holistic modes of learning family-resemblance concepts.

Three studies examined how individuals learn concepts structured according to family-resemblance principles. The materials were cartoon faces varying in the attributes of hair, mustache, ears, and nose. In contrast to previous studies purporting to show holistic modes of learning family-resemblance concepts, the present studies indicate that many individuals learn such concepts by an analytic, attribute-plus-exception rule. The attribute-plus-exception rule characterized the learning shown by adults under both intentional (Studies 1 and 2) and incidental (Study 3) learning conditions and by children under intentional learning conditions (Study 2). There was no evidence to indicate that a holistic mode is a more primitive one, since it did not occur more frequently among children or adults under incidental learning conditions. It is suggested that the extent to which holistic or analytic modes of learning are observed will be found to depend on an interaction among stimulus, task, and observer factors.

On the Educational Uses of Computer-Generated Cartoon Faces

Computer-drawn faces can be used as tools for exploring visualization in learning and for presenting multivariate data. Previous applications by the author in the parametric control of computer-generated facial features are discussed, as well as new research and potential future applications. Also presented is the “autocorrelation-face,” a graphics representation which is created from the mathematical analysis of voice input. Implications for its possible use as a learning aid for the deaf, and in waveform analysis in general, are discussed.

Recognition memory and intelligence

The assumption that individual differences in recognition memory are associated with individual differences in intelligence was explored by administering intelligence tests and tests of immediate visual recognition memory to a sample of 52 5-year-old children expected to vary widely from one another in intelligence. Each child was given the Peabody Picture Vocabulary Test (Form L) and two tests of immediate recognition memory: one test for 27 abstract patterns and one test for 27 unfamiliar cartoon faces. The mean PPVT-IQ for the sample was in the average range at 98.1. Interindividual variability in IQ proved to be high as reflected in the group SD of 22.6, with scores ranging from 40 to 136. The recognition tasks proved to be of moderate difficulty. Individual differences in memory for patterns were highly related to memory for faces ( r = .76), indicating that the overall recognition test was reliable. The most important result of the present study was the strong association between recognition memory performance and PPVT-IQ of .70. The relation between recognition memory and IQ could not be accounted for by the inclusion of a few very low IQ children, since the association remained high at .61 when children with IQs below 75 were omitted from analysis. In short, the present results indicate that immediate recognition memory is highly associated with intelligence.

Functional Cerebral Lateralisation; Dichotomy or Plurality?

Cartoon faces were presented tachistoscopically in the right and left visual fields, and required to be matched to a previously memorised target face. The three different stimuli differed from the target either on only one, or on all three features (eyes, nose, mouth). Reaction times varied considerably across the individual different responses in both conditions. In the first condition field differences consistently favoured the right field; in the second, two favoured the left and the third the right. In both conditions same responses were faster than at least one different response class. Several interpretations in terms of the distinction between “analytic” and “holistic” processes were entertained. Such processes themselves remain somewhat obscure, but there is nothing in the data to suggest that the two cerebral hemispheres might not be essentially ambivalent in their predilections for the two kinds of processing. In which case future research might profitably focus on the emerging plurality of experimental factors governing this cognitive ambivalence, rather than on the simple physical dichotomy.