Domain-specific reports of visual imagery vividness are not related to perceptual expertise

Sunday, Mackenzie A.; McGugin, Rankin W.; Gauthier, Isabel

doi:10.3758/s13428-016-0730-4

Cited by 6 publications

(8 citation statements)

References 42 publications

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“…During this session, participants completed 4 behavioral tasks (1 measuring visual imagery vividness, 2 measuring performance for cars and other domains, and 1 measure for self-reports of visual expertise). First, participants completed the Vividness of Visual Imagery Questionnaire (VVIQ; [ 40 ]) and 2 additional car imagery questions [ 35 ]. The VVIQ measures self-reported individual differences in visual imagery and has been used in behavioral (e.g., [ 41 ]) and imaging work [ 18 , 23 ].…”

Section: Methodsmentioning

confidence: 99%

“…We asked if imagery of faces and cars engages face-selective fusiform regions in above-average car recognizers, basing this prediction on evidence that perception of faces and cars engage these regions in comparable populations. In recent work measuring individual differences in the vividness of mental imagery, we found that the vividness of domain-specific imagery (for cars) relates to that of domain-general imagery, but not to perceptual or semantic knowledge ability levels with cars [ 35 ]. Therefore, it is unclear whether during car imagery, those with above-average car recognition ability would recruit face-selective areas that are engaged during car perception (where the selectivity has been found to predict car recognition ability), or would recruit only object-selective regions.…”

Section: Introductionmentioning

confidence: 99%

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Visual imagery of faces and cars in face-selective visual areas

et al. 2018

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Neuroimaging provides a unique tool to investigate otherwise difficult-to-access mental processes like visual imagery. Prior studies support the idea that visual imagery is a top-down reinstatement of visual perception, and it is likely that this extends to object processing. Here we use functional MRI and multi-voxel pattern analysis to ask if mental imagery of cars engages the fusiform face area, similar to what is found during perception. We test only individuals who we assumed could imagine individual car models based on their above-average perceptual abilities with cars. Our results provide evidence that cars are represented differently from common objects in face-selective visual areas, at least in those with above-average car recognition ability. Moreover, pattern classifiers trained on data acquired during imagery can decode the neural response pattern acquired during perception, suggesting that the tested object categories are represented similarly during perception and visual imagery. The results suggest that, even at high-levels of visual processing, visual imagery mirrors perception to some extent, and that face-selective areas may in part support non-face object imagery.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Visual imagery of faces and cars in face-selective visual areas

et al. 2018

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“…Our study on visual imagery during music listening therefore had three main goals: To estimate the prevalence of visual imagery during music listening and collect detailed insights into the different kinds of visual imagery people experience while listening to music.To explore how visual imagery in response to music is different from visual imagery in general.To investigate how visual imagery correlates with domain-specific skills (Sunday et al, 2017). …”

Section: Aimsmentioning

confidence: 99%

“…However, specific expertise in a perceptual domain does not necessarily lead to enhanced vividness of visual imagery in that domain. Sunday, McGugin, and Gauthier (2017) showed that domain-specific imagery (tested with car experts) correlates with general vividness of imagery but not with perceptual or semantic expertise. Whether or not the same lack of domain-specific imagery abilities would be found in music experts still remains to be tested.…”

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confidence: 94%

The content and functions of vivid and soothing visual imagery during music listening: Findings from a survey study.

Küssner

Eerola

2019

Psychomusicology: Music, Mind, and Brain

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Studies have suggested that visual imagery forms an important part of the listening experience, and might be one of the mechanisms by which music induces emotions in a listener. However, little is known about the content, prevalence and functions of visual imagery during music listening. To that end, an online survey was constructed to explore music-related visual imagery. This included 24 statements about the visual imagery based on prior research and an open question about the content of the inner images. Several standardized questionnaires (VVIQ, Gold-MSI) were included as well to investigate the link to visual imagery in general and musical training. In total, 669 participants provided responses to an online survey. A factorial structure of music and visual imagery statements provided a 3-factor structure consisting of vivid, soothing and disruptive visual imagery, although the actual factor structure was non-identical between the musically trained and untrained respondents. Separate analyses of factor for musically trained and untrained participants yielded a more parsimonious structure of visual imagery, which consisted of vivid and soothing visual imagery. These two factors exhibited consistently different weights across the items; for musically trained participants, the vivid imagery was more related to modulating the arousal. The ability to conjure up vivid visual imagery was only weakly related to the music-related visual imagery. A content analysis of the open question revealed common themes that related to a mixture of concrete visual imagery (landscapes, images of people, scenes from past events) and abstract visual imagery (shapes, objects and colours). Implications of these findings for further studies on music-induced emotions are discussed with a focus on a recent constructionist account of emotional meanings in music.

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“…Expertise effects are fundamentally memory effects, because it is what is stored in memory that leads one to be an expert (Chase & Simon, 1973). However, many studies of expertise effects examine perceptual and attentional differences rather than explicitly testing memory or forgetting (e.g., Reeder, Stein, & Peelen, 2016; Sunday, McGugin, & Gauthier, 2017). Therefore whether objects of expertise, such as faces, are susceptible to recognition-induced forgetting remains unknown.…”

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confidence: 99%

Recognition-induced forgetting of faces in visual long-term memory

Rugo

Tamler

Woodman

et al. 2017

Atten Percept Psychophys

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Despite over a century of evidence that long-term memory for pictures and words are different, much of what we know about memory comes from studies using words. Recent research examining visual long-term memory has demonstrated that recognizing an object induces the forgetting of objects from the same category. This recognition-induced forgetting has been shown with a variety of everyday objects. However, unlike everyday objects, faces are objects of expertise. As a result, faces may be immune to recognition-induced forgetting. However, despite excellent memory for such stimuli, we found that faces were susceptible to recognition-induced forgetting. Our findings have implications for how models of human memory account for recognition-induced forgetting as well as represent objects of expertise and consequences for eyewitness testimony and the justice system.

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Domain-specific reports of visual imagery vividness are not related to perceptual expertise

Cited by 6 publications

References 42 publications

Visual imagery of faces and cars in face-selective visual areas

Visual imagery of faces and cars in face-selective visual areas

The content and functions of vivid and soothing visual imagery during music listening: Findings from a survey study.

Recognition-induced forgetting of faces in visual long-term memory

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