Visual object recognition ability is not related to experience with visual arts

Chow, Jason K.; Palmeri, Thomas J.; Gauthier, Isabel

doi:10.1167/jov.22.7.1

Cited by 5 publications

(2 citation statements)

References 36 publications

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“…This is supported by the non-significant correlation observed between VAIAK and AAMT scores. This lack of correlation is further in line with a recent study that found no relationship between experience in visual arts and general visual object recognition ability (Chow et al, 2022).…”

Section: Discussionsupporting

confidence: 89%

From Perugino to Picasso: Holistic processing of faces in paintings.

Ventura¹,

Tt²,

Cruz³

et al. 2023

Psychology of Aesthetics, Creativity, and the Arts

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Faces are generally assumed to be processed holistically, that is, features are represented in an integrated fashion. Similarly, pictorial representations of faces (e.g., drawings) have been shown to elicit holistic processing. Some researchers, however, have contested the concept of holistic face processing, suggesting that the perception of a face is no more than the sum of individual face parts. In the present study, we ask whether faces in paintings are processed holistically and, if so, whether this holistic processing is consistent across art styles along the realism–distortion dimension. Additionally, we seek to understand whether other factors, such as interest in art and exposure to art (e.g., visiting museums), as well as general visual recognition abilities, contribute to the potential holistic processing of faces in paintings. We found holistic face processing across stimulus sets, suggesting that holistic processing of faces in art occurs regardless of the characteristics of the art style (i.e., realism/distortion).Moreover, general interest in art showed a marginally negative correlation with holistic face processing. In contrast, general visual recognition abilities correlated positively with holistic processing, suggesting that increased capacity to process purely visual information benefits perceptual integration and grouping.

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Section: Discussionsupporting

confidence: 89%

From Perugino to Picasso: Holistic processing of faces in paintings.

Ventura¹,

Tt²,

Cruz³

et al. 2023

Psychology of Aesthetics, Creativity, and the Arts

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“…O also predicts the accuracy with which people can estimate summary statistics (e.g. mean) of groups of objects , and the ability to recognize different types of food (Gauthier & Fiestan, 2023), whereas it does not predict experience with visual arts (Chow et al, 2022b). Beyond visual abilities, o is also related to haptic object recognition accuracy (Chow et al, 2022a), and has a strong correlation with auditory object recognition accuracy (Chow et al, 2023).…”

Section: Introductionmentioning

confidence: 98%

Measuring object recognition ability: Reliability, validity, and the aggregate z-score approach

Smithson,

Chow,

Chang

et al. 2024

Behav Res

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Measurement of domain-general object recognition ability (o) requires minimization of domainspecific variance. One approach is to model o as a latent variable explaining performance on a battery of tests which differ in task demands and stimuli; however, time and sample requirements may be prohibitive. Alternatively, an aggregate measure of o can be obtained by averaging z-scores across tests. Using data from Sunday et al., Journal of Experimental Psychology: General, 151, 676-694, (2022), we demonstrated that aggregate scores from just two such object recognition tests provide a good approximation (r = .79) of factor scores calculated from a model using a much larger set of tests. Some test combinations produced correlations of up to r = .87 with factor scores. We then revised these tests to reduce testing time, and developed an odd one out task, using a unique object category on nearly every trial, to increase task and stimuli diversity. To validate our measures, 163 participants completed the object recognition tests on two occasions, one month apart.Providing the first evidence that o is stable over time, our short aggregate o measure demonstrated good test-retest reliability (r = .77). The stability of o could not be completely accounted for by intelligence, perceptual speed, and early visual ability. Structural equation modeling suggested that our tests load significantly onto the same latent variable, and revealed that as a latent variable, o is highly stable (r = .93). Aggregation is an efficient method for estimating o, allowing investigation of individual differences in object recognition ability to be more accessible in future studies.

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