Multivariate pattern analysis of event-related potentials predicts the subjective relevance of everyday objects |
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| Institution: | 1. Melbourne School of Psychological Sciences, The University of Melbourne, Parkville 3010, Victoria, Australia;2. Department of Education and Psychology, Freie Universität Berlin, Habelschwerdter Allee 45, 14195 Berlin, Germany;1. GIPSA-lab, CNRS and Grenoble Alpes University, Grenoble, France;2. Université de Toulouse, UPS, Centre de Recherche Cerveau et Cognition, Toulouse, France;3. CNRS, CerCo, France;4. Swartz Center for Computational Neurosciences, UCSD, La Jolla, CA, USA;5. Center of Neuroscience, Swammerdam Institute for Life Sciences, Amsterdam, The Netherlands;1. Semel Institute of Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, California;2. Department of Neurosurgery, Ronald Reagan UCLA Medical Center, University of California, Los Angeles, California;3. Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, California;4. Department of Psychology, University of California, San Diego, San Diego, California;1. Department of Optometry and Vision Sciences, The University of Melbourne, Victoria, Australia;2. Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia;1. Department of Education and Psychology, Freie Universität Berlin, D-14195 Berlin, Germany;2. Center for Cognitive Neuroscience Berlin, Freie Universität Berlin, D-14195 Berlin, Germany;3. Centre for Cognitive Neuroscience, Universität Salzburg, AT-5020 Salzburg, Austria;4. Aix-Marseille Université and Centre National de la Recherche Scientifique, Laboratoire de Psychologie Cognitive, F-13331 Marseille, France;1. IÉSEG School of Management, 1 Promenade de l''Arche, 92 044 Paris La Défense Cedex, France;2. Kellogg School of Management, Northwestern University, Evanston, IL 60208, USA |
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| Abstract: | Potentially decision-relevant stimuli have been proposed to undergo immediate semantic processing. The current study investigated whether information regarding the general desirability (‘Wanting’) of visually presented ‘everyday’ objects was rapidly and automatically processed. Participants completed a foreground task while their electroencephalogram (EEG) was recorded, and task-irrelevant images were presented in the background. Following this, participants rated the images with regards to Wanting and the potentially related attributes of Relevance, Familiarity, Aesthetic Pleasantness and Time Reference. Multivariate pattern classification was used to predict the ratings from patterns of EEG data. Prediction of Wanting and Relevance was possible between 100 and 150 ms following stimulus presentation. The other dimensions could not be predicted. Wanting and Relevance ratings were highly correlated and displayed similar feature weight maps. The current results suggest that the general desirability and subjective relevance of everyday objects is rapidly and automatically processed for a wide range of visual stimuli. |
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| Keywords: | Multivariate pattern analysis Electroencephalography Automatic stimulus processing Stimulus relevance Stimulus desirability |
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