Often students and lay public are not able to watch an art exhibit displayed in a museum of fine arts as scholars could wish. It has to be considered that watching is a learned skill that is neither innate nor spontaneous. Consequently, onlookers would benefit from a method that may enhance their visual skills. This consideration and the willing to give a contribution in artworks understanding guide our work. The goal of this paper is to assess whether a model based on visual-perceptual priming, a kind of implicit memory, may improve the methodology of looking. To support our model also with some kind of measures, we analysed the subjects’ brain signals collected by an EEG-based Brain Computer Interface device during the verification phase of the performed experiment. In this work we also present some preliminary results obtained by this BCI-based promising approach
EEG-based BCI data analysis on visual-priming In the context of a museum of fine arts / A. Banzi, R. Folgieri - In: Proceedings of the 18th International conference on distributed multimedia systems[s.l] : Knowledge systems institute, 2012. - ISBN 1-891706-32-2. - pp. 75-78 (( Intervento presentato al 18. convegno International conference on distributed multimedia systems tenutosi a Miami Beach nel 2012.
EEG-based BCI data analysis on visual-priming In the context of a museum of fine arts
R. FolgieriUltimo
2012
Abstract
Often students and lay public are not able to watch an art exhibit displayed in a museum of fine arts as scholars could wish. It has to be considered that watching is a learned skill that is neither innate nor spontaneous. Consequently, onlookers would benefit from a method that may enhance their visual skills. This consideration and the willing to give a contribution in artworks understanding guide our work. The goal of this paper is to assess whether a model based on visual-perceptual priming, a kind of implicit memory, may improve the methodology of looking. To support our model also with some kind of measures, we analysed the subjects’ brain signals collected by an EEG-based Brain Computer Interface device during the verification phase of the performed experiment. In this work we also present some preliminary results obtained by this BCI-based promising approachPubblicazioni consigliate
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