Literature DB >> 12419123

Serial attention mechanisms in visual search: a direct behavioral demonstration.

Emanuela Bricolo1, Tiziana Gianesini, Alessandra Fanini, Claus Bundesen, Leonardo Chelazzi.   

Abstract

In visual search, inefficient performance of human observers is typically characterized by a steady increase in reaction time with the number of array elements-the so-called set-size effect. In general, set-size effects are taken to indicate that processing of the array elements depends on limited-capacity resources, that is, it involves attention. Contrasting theories have been proposed to account for this attentional involvement, however. While some theories have attributed set-size effects to the intervention of serial attention mechanisms, others have explained set-size effects in terms of parallel, competitive architectures. Conclusive evidence in favor of one or the other notion is still lacking. Especially in view of the wide use of visual search paradigms to explore the functional neuroanatomy of attentional mechanisms in the primate brain, it becomes essential that the nature of the attentional involvement in these paradigms be clearly defined at the behavioral level. Here we report a series of experiments showing that highly inefficient search indeed recruits serial attention deployment to the individual array elements. In addition, we describe a number of behavioral signatures of serial attention in visual search that can be used in future investigations to attest a similar involvement of serial attention in other search paradigms. We claim that only after having recognized these signatures can one be confident that truly serial mechanisms are engaged in a given visual search task, thus making it amenable for exploring the functional neuroanatomy underlying its performance.

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Mesh:

Year:  2002        PMID: 12419123     DOI: 10.1162/089892902320474454

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  12 in total

1.  The serial-parallel dilemma: a case study in a linkage of theory and method.

Authors:  James T Townsend; Michael J Wenger
Journal:  Psychon Bull Rev       Date:  2004-06

2.  What are the shapes of response time distributions in visual search?

Authors:  Evan M Palmer; Todd S Horowitz; Antonio Torralba; Jeremy M Wolfe
Journal:  J Exp Psychol Hum Percept Perform       Date:  2011-02       Impact factor: 3.332

3.  Signal detection evidence for limited capacity in visual search.

Authors:  Evan M Palmer; David E Fencsik; Stephen J Flusberg; Todd S Horowitz; Jeremy M Wolfe
Journal:  Atten Percept Psychophys       Date:  2011-11       Impact factor: 2.199

Review 4.  HOW DO RADIOLOGISTS USE THE HUMAN SEARCH ENGINE?

Authors:  Jeremy M Wolfe; Karla K Evans; Trafton Drew; Avigael Aizenman; Emilie Josephs
Journal:  Radiat Prot Dosimetry       Date:  2015-12-08       Impact factor: 0.972

5.  Reaction time distributions constrain models of visual search.

Authors:  Jeremy M Wolfe; Evan M Palmer; Todd S Horowitz
Journal:  Vision Res       Date:  2009-11-04       Impact factor: 1.886

6.  Spatial coding for the Simon effect in visual search.

Authors:  Dexuan Zhang; Xiaolin Zhou; Giuseppe di Pellegrino; Elisabetta Ladavas
Journal:  Exp Brain Res       Date:  2006-08-10       Impact factor: 2.064

7.  Visual search in spatial neglect studied with a preview paradigm.

Authors:  Julia Fellrath; Vanessa Blanche-Durbec; Armin Schnider; Anne-Sophie Jacquemoud; Radek Ptak
Journal:  Front Hum Neurosci       Date:  2012-04-18       Impact factor: 3.169

8.  How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests.

Authors:  Melissa Treviño; Xiaoshu Zhu; Yi Yi Lu; Luke S Scheuer; Eliza Passell; Grace C Huang; Laura T Germine; Todd S Horowitz
Journal:  Cogn Res Princ Implic       Date:  2021-07-22

9.  Language repetition and short-term memory: an integrative framework.

Authors:  Steve Majerus
Journal:  Front Hum Neurosci       Date:  2013-07-12       Impact factor: 3.169

10.  Transcranial direct current stimulation (tDCS) facilitates overall visual search response times but does not interact with visual search task factors.

Authors:  Kyongje Sung; Barry Gordon
Journal:  PLoS One       Date:  2018-03-20       Impact factor: 3.240

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