5 research outputs found

    What drives sound symbolism

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    Multisensory Brand Search: How the Meaning of Sounds Guides Consumers’ Visual Attention

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    Building on models of crossmodal attention, the present research proposes that brand search is inherently multisensory, in that the consumers’ visual search for a specific brand can be facilitated by semantically related stimuli that are presented in another sensory modality. A series of five experiments demonstrates that the presentation of spatially non-predictive auditory stimuli associated with products (e.g., usage sounds or product-related jingles) can crossmodally facilitate consumers’ visual search for, and selection of, products. Eye-tracking data (Experiment 2) revealed that the crossmodal effect of auditory cues on visual search manifested itself not only in reaction times, but also in the earliest stages of visual attentional processing, thus suggesting that the semantic information embedded within sounds can modulate the perceptual saliency of the target products’ visual representations. Crossmodal facilitation was even observed for newly-learnt associations between unfamiliar brands and sonic logos, implicating multisensory short-term learning in establishing audiovisual semantic associations. The facilitation effect was stronger when searching complex rather than simple visual displays, thus suggesting a modulatory role of perceptual load

    Searching for flavor labels in food products: the influence of color-flavor congruence and association strength

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    Prior research provides robust support for the existence of a number of associations between colors and flavors. In the present study, we examined whether congruent (vs. incongruent) combinations of product packaging colors and flavor labels would facilitate visual search for products labeled with specific flavors. The two experiments reported here document a Stroop-like effect between flavor words and packaging colors. The participants were able to search for packaging flavor labels more rapidly when the color of the packaging was congruent with the flavor label (e.g., red/tomato) than when it was incongruent (e.g., yellow/tomato). In addition, when the packaging color was incongruent, those flavor labels that were more strongly associated with a specific color yielded slower reaction times and more errors (Stroop interference) than those that were less strongly tied to a specific color. Importantly, search efficiency was affected both by color/flavor congruence and association strength. Taken together, these results therefore highlight the role of color congruence and color–word association strength when it comes to searching for specific flavor labels
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