2017
DOI: 10.3389/fpsyg.2017.01033
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Fat Content Modulates Rapid Detection of Food: A Visual Search Study Using Fast Food and Japanese Diet

Abstract: Rapid detection of food is crucial for the survival of organisms. However, previous visual search studies have reported discrepant results regarding the detection speeds for food vs. non-food items; some experiments showed faster detection of food than non-food, whereas others reported null findings concerning any speed advantage for the detection of food vs. non-food. Moreover, although some previous studies showed that fat content can affect visual attention for food, the effect of fat content on the detecti… Show more

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Cited by 20 publications
(27 citation statements)
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“…In our experiment, all participants reacted more quickly to food pictures than to neutral pictures. This highlights that food stimuli undergo faster processing, which is in line with previous literature [23,[62][63][64][65][66]. Indeed, food is essential for survival (i.e.…”
Section: Reactivity To Foodssupporting
confidence: 90%
“…In our experiment, all participants reacted more quickly to food pictures than to neutral pictures. This highlights that food stimuli undergo faster processing, which is in line with previous literature [23,[62][63][64][65][66]. Indeed, food is essential for survival (i.e.…”
Section: Reactivity To Foodssupporting
confidence: 90%
“…These expectations, set primarily by what we see and smell (orthonasally), but also sometimes by what we hear and feel/touch, anchor the experience when we come to taste something (see Verhagen and Engelen, 2006). For example, visual cues such as color or shape can be used to guide food and drink expectations, search, and augmentation based on semantic knowledge (learned associations as a function of a common identity or meaning such as between the color red and tomato flavor) and crossmodal correspondences (feature compatibility across the senses, such as between sweetness and curvature; e.g., Shermer and Levitan, 2014; Velasco et al, 2015, 2016b; Sawada et al, 2017). …”
Section: Flavor Perception and Augmentationmentioning
confidence: 99%
“…These expectations, set primarily by what we see and smell (orthonasally), but also sometimes by what we hear and feel/touch, anchor the experience when we come to taste something (see . For example, visual cues such as color or shape can be used to guide food and drink expectations, search, and augmentation based on semantic knowledge (learned associations as a function of a common identity or meaning such as between the color red and tomato flavor) and crossmodal correspondences (feature compatibility across the senses, such as between sweetness and curvature; e.g., Shermer and Levitan, 2014;Sawada et al, 2017).…”
Section: Flavor Perception and Augmentationmentioning
confidence: 99%