Set size effects in spatial updating are independent of the online/offline updating strategy.

2020 ◽  
Vol 46 (9) ◽  
pp. 901-911
Author(s):  
Ruoyu Lu ◽  
Chencen Yu ◽  
Zeyu Li ◽  
Weimin Mou ◽  
Zhi Li
Keyword(s):  
Size Effects ◽  
Spatial Updating ◽  
Set Size ◽  
Set Size Effects

scholarly journals Estimating the statistical power to detect set‐size effects in contralateral delay activity

2021 ◽  
Vol 58 (5) ◽  
Author(s):  
William X. Q. Ngiam ◽  
Kirsten C. S. Adam ◽  
Colin Quirk ◽  
Edward K. Vogel ◽  
Edward Awh
Keyword(s):  
Size Effects ◽  
Statistical Power ◽  
Set Size ◽  
Contralateral Delay Activity ◽  
Set Size Effects

A PDP approach to set size effects within the Stroop task: Reply to Kanne, Balota, Spieler, and Faust (1998).

1998 ◽  
Vol 105 (1) ◽  
pp. 188-194 ◽  
Author(s):  
Jonathan D. Cohen ◽  
Marius Usher ◽  
James L. McClelland
Keyword(s):  
Stroop Task ◽  
Size Effects ◽  
Set Size ◽  
Set Size Effects

scholarly journals Visual search for complex objects: Set-size effects for faces, words and cars

2019 ◽  
Vol 162 ◽  
pp. 8-19 ◽  
Author(s):  
Jennifer Hemström ◽  
Andrea Albonico ◽  
Sarra Djouab ◽  
Jason J.S. Barton
Keyword(s):  
Visual Search ◽  
Size Effects ◽  
Complex Objects ◽  
Set Size ◽  
Set Size Effects

Serial Attention Mechanisms in Visual Search: A Direct Behavioral Demonstration

2002 ◽  
Vol 14 (7) ◽  
pp. 980-993 ◽  
Author(s):  
Emanuela Bricolo ◽  
Tiziana Gianesini ◽  
Alessandra Fanini ◽  
Claus Bundesen ◽  
Leonardo Chelazzi
Keyword(s):  
Visual Search ◽  
Size Effects ◽  
Conclusive Evidence ◽  
Steady Increase ◽  
Functional Neuroanatomy ◽  
Set Size ◽  
Behavioral Signatures ◽  
Series Of Experiments ◽  
The Individual ◽  
Set Size Effects

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 neuro-anatomy underlying its performance.

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