• Aucun résultat trouvé

The retrieval of semantic and episodic information from faces and voices: A face advantage.

N/A
N/A
Protected

Academic year: 2021

Partager "The retrieval of semantic and episodic information from faces and voices: A face advantage."

Copied!
1
0
0

Texte intégral

(1)

ABSTRACT

Barsics, C., & Brédart, S. (2012). The retrieval of semantic and episodic information from faces and voices: A face advantage. Perception, 41 suppl., 115.

Poster presented at the 35th European Conference on Visual Perception, Alghero,

Italy, September 2th to 6th 2012

Recent findings indicate that semantic and episodic information is more likely to be retrieved from faces than voices [Damjanovic & Hanley, 2007, Memory and Cognition, 35(6), 1205-1210]. Previous studies investigating this 'face advantage' over voice used famous faces and voices as stimuli, which induced several methodological difficulties. We present four studies aimed at further examining the differential retrieval of semantic and episodic information from faces and voices. Study 1 and 2 compare the retrieval of semantic and episodic information from pre-experimentally personally familiar faces and voices [Brédart, Barsics, & Hanley, 2009, European Journal of Cognitive Psychology, 21(7), 1013-1021; Barsics & Brédart, 2011, Consciousness and Cognition, 20(2), 303-308]. In Study 3, an associative learning paradigm is used in order to strictly control the frequency of exposure with faces and voices. The recall of semantic information is subsequently assessed from faces and voices. In Study 4, distinctiveness impact on semantic information retrieval from faces and voices is assessed, as it could constitute a key factor underlying the face advantage over voice. All results are in line with the face advantage. These findings are discussed at the light of current models of person recognition. An account in terms of expertise is finally proposed.

Références

Documents relatifs

As it can be observed from Figure 2, each formal concept in the concept lattice contains a possible conjunctive query and a set of documents which satisfy that query while

Abstract—This letter introduces a new technique for phono- cardiogram (PCG) signal denoising based non-negative matrix factorization (NMF) of its spectrogram and adaptive contour

The semantic/fuzzy ranking enhancement aims to manage uncertainty about the out- put of classic querying process and to valorize documents focusing specially in the same

To conclude, this study confirmed the prediction that brain representations of faces in face-selective regions would be associated with information about perceived and

– A semantic indexing module, which takes the annotations produced by the annotation module, expands them using the ontology and stores the ex- panded annotations in a separate

Also, we compare the neural-network-based document embedding method Doc2Vec with Ariadne in a specific information retrieval use case.. For the word analogy test, the local

The classification task and retrieval task are developed based on the distributional representation of the text by utilizing term - document matrix and non-negative

Our approach combines relations extracted from Medline abstracts with relations obtained from the UMLS and databases UniProt, EntrezGene, Comparative