probability cueing of distractor locations:both intertrial facilitation and statistical learning mediate interference reduction

probability cueing of distractor locations:both intertrial facilitation and statistical learning mediate interference reduction

;Harriet eGoschy;Harriet eGoschy;Sarolta eBakos;Hermann Josef Mueller;Hermann Josef Mueller;Michael eZehetleitner
accounts of chemical research 2014 Vol. 5 pp. -
159
egoschy2014frontiersprobability

Abstract

Targets in a visual search task are detected faster if they appear in a probable target region as compared to a less probable target region, an effect which has been termed probability cueing. The present study investigated whether probability cueing cannot only speed up target detection, but also minimize distraction by distractors in probable distractor regions as compared to distractors in less probable distractor regions. To this end, three visual search experiments with a salient, but task-irrelevant, distractor (additional singleton) were conducted. Experiment 1 demonstrated that observers can utilize uneven spatial distractor distributions to selectively reduce interference by distractors in frequent distractor regions as compared to distractors in rare distractor regions. Experiment 2 and 3 showed that intertrial facilitation, i.e. distractor position repetitions, and statistical learning (independent of distractor position repetitions) both contribute to the probability cueing effect for distractor locations. Taken together, the present results demonstrate that probability cueing of distractor locations has the potential to serve as a strong attentional cue for the shielding of likely distractor locations.

Citation

ID: 204257
Ref Key: egoschy2014frontiersprobability
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
204257
Unique Identifier:
10.3389/fpsyg.2014.01195
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet