Non-synesthetes exhibit a tendency to associate specific shapes with particular colours (i.e., circle-red, triangle-yellow, and square-blue). Here, we used two Go/No-go tasks to examine the congruency priming effect of colour-shape associations on recognition efficiency of colour and shape features. At the beginning of each trial, a target colour or shape word was introduced, followed by a coloured-shape visual stimulus. Participants were required to press a key to a target stimulus ("go" cues), while withholding their responses to a non-target stimulus ("no-go" cues). The targets were presented either visually (visual word, Experiment 1) or auditorily (spoken word, Experiment 2). Results showed a congruency effect of colour-shape associations on recognition efficiency for colour and shape features in both experiments. Response times were shorter in congruent than in incongruent conditions, that a target could be recognised faster when it was presented with the congruent visual features than with incongruent ones, irrespective of the presentation form (visual or auditory). These results suggest that colour-shape associations can be strong to influence visual recognition of colour and shape features.
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http://dx.doi.org/10.1177/17470218231156432 | DOI Listing |
Cognition
December 2024
Centre for Multisensory Marketing, Department of Marketing, BI Norwegian Business School, Oslo, Norway.
Crossmodal correspondences, the tendency for a sensory feature / attribute in one sensory modality (either physically present or merely imagined), to be associated with a sensory feature in another sensory modality, have been studied extensively, revealing consistent patterns, such as sweet tastes being associated with pink colours and round shapes across languages. The present research explores whether such correspondences are captured by ChatGPT, a large language model developed by OpenAI. Across twelve studies, this research investigates colour/shapes-taste crossmodal correspondences in ChatGPT-3.
View Article and Find Full Text PDFMultisens Res
August 2023
Crossmodal Research Laboratory, 6396University of Oxford, Oxford, OX1 2JD, UK.
There has been a rapid recent growth in academic attempts to summarise, understand, and predict the taste profile matching complex images that incorporate multiple visual design features. While there is now ample research to document the patterns of vision-taste correspondences involving individual visual features (such as colour and shape curvilinearity in isolation), little is known about the taste associations that may be primed when multiple visual features are presented simultaneously. This narrative historical review therefore presents an overview of the research that has examined, or provided insights into, the interaction of graphic elements in taste correspondences involving colour, shape attributes, texture, and other visual features.
View Article and Find Full Text PDFQ J Exp Psychol (Hove)
October 2023
Faculty of Science and Engineering, Waseda University, Tokyo, Japan.
Non-synesthetes exhibit a tendency to associate specific shapes with particular colours (i.e., circle-red, triangle-yellow, and square-blue).
View Article and Find Full Text PDFIndividuals with autism spectrum disorder can find behavioural flexibility challenging, often exhibited in terms of repetitive behaviours or restricted ranges of interests and activities. An inability to shift efficiently from one situation to another is connected with problems in daily life, and identifying factors associated with this ability may help develop teaching strategies to improve behavioural flexibility. Some existing findings imply shifting performance for individuals with autism spectrum disorder is better with nonverbal, compared to verbal, feedback - even for those with strong verbal abilities.
View Article and Find Full Text PDFRecently, microplastics (MPs) have been detected in almost all environmental matrices (water, soil, air, biota). Their presence is of concern due to high environmental persistence and their ability to release or bind pollutants. In light of this, the present work aimed to quantify a poorly studied pollutant category associated with MPs: metals.
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