522
Views
20
CrossRef citations to date
0
Altmetric
Original Articles

Feature guidance by negative attentional templates depends on search difficulty

, , &
Pages 317-326 | Received 31 Jul 2018, Accepted 06 Feb 2019, Published online: 21 Feb 2019
 

ABSTRACT

Prior knowledge about an upcoming target can bias attention and facilitate visual search performance. However, whether knowledge about distractors can likewise enhance search, biasing attention away from to-be-avoided items, is less clear. Here, we investigated whether the utilization of such attentional templates is affected by search difficulty. Results from two experiments revealed search efficiency to be reliably increased when positive cues provide information about the upcoming target (relative to neutral, baseline cues) irrespective of whether search was easy (low target-nontarget similarity) or difficult (high target-nontarget similarity). By contrast, negative cues that inform about a to-be-avoided distractor were found to facilitate performance only during difficult (but not easy) search, that is, when responses were relatively slow. This suggests that, contrary to positive target templates, negative distractor templates can be used effectively only when the search task is difficult, which provides sufficient time for processes of distractor inhibition to operate.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by project grants from the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) [grant number FOR 2293/1].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 238.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.