2016
DOI: 10.3389/fpsyg.2016.00155
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Visual Search of Mooney Faces

Abstract: Faces spontaneously capture attention. However, which special attributes of a face underlie this effect is unclear. To address this question, we investigate how gist information, specific visual properties and differing amounts of experience with faces affect the time required to detect a face. Three visual search experiments were conducted investigating the rapidness of human observers to detect Mooney face images. Mooney images are two-toned, ambiguous images. They were used in order to have stimuli that mai… Show more

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Cited by 11 publications
(19 citation statements)
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References 59 publications
(81 reference statements)
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“…The stimuli consisted of 192 images (96 ambiguous Mooney faces and 96 shuffled Mooney stimuli). Literally thousands of Mooney faces have been created and published in the past (Brodski et al, 2015;Goold and Meng, 2016;Ke et al, 2017;Schwiedrzik et al, 2018). In the present study, we used a subset of Mooney faces created by Schwiedrzik et al (2018) because these Mooney faces have been used to study individual differences, and because these stimuli include a diverse array of faces (varying in perspective, lighting direction, face identity, gender, etc.).…”
Section: Methodsmentioning
confidence: 99%
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“…The stimuli consisted of 192 images (96 ambiguous Mooney faces and 96 shuffled Mooney stimuli). Literally thousands of Mooney faces have been created and published in the past (Brodski et al, 2015;Goold and Meng, 2016;Ke et al, 2017;Schwiedrzik et al, 2018). In the present study, we used a subset of Mooney faces created by Schwiedrzik et al (2018) because these Mooney faces have been used to study individual differences, and because these stimuli include a diverse array of faces (varying in perspective, lighting direction, face identity, gender, etc.).…”
Section: Methodsmentioning
confidence: 99%
“…There are a large variety of Mooney faces that have been created and published, including the original artist-created images (Mooney, 1957), thresholded images of gray-scale faces (Brodski et al, 2015;Goold and Meng, 2016;Schwiedrzik et al, 2018), and artificially created images based on machine learning approaches (Ke et al, 2017). While, Mooney faces are typically treated as an excellent stimulus to isolate holistic processing, there are also significant variations between different Mooney faces (Figure 1).…”
Section: Introductionmentioning
confidence: 99%
“…These behavior results are novel in two respects. First, it marks the first demonstrations, to our knowledge, of cuing recognition of Mooney-style images using solely linguistic cues, as opposed to the more common method of simply revealing the original image 17,18,52 . Second, the results of our same/different discrimination task reveal that linguistic cues enhance not only the ability to recognize the images, as in prior work, but also putatively lower-level processes subserving visual discrimination.…”
Section: Discussionmentioning
confidence: 99%
“…The two conditions differed only in how participants were familiarized with the images. In the meaning trained condition, participants first viewed each Mooney image accompanied by an instruction, e.g., "Please look for CAKE", twice for each Mooney image (Trials [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Participants then saw all the images again and were asked to type in what they saw in each image, guessing in the case that they could not see anything (Trials 21-30).…”
Section: Fig 1 Recognition Accuracy From Naïve Observers (Experimenmentioning
confidence: 99%
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