scholarly journals Post-Error Behavioral Adjustments Are Facilitated by Activation and Suppression of Task-Relevant and Task-Irrelevant Information Processing

2010 ◽  
Vol 30 (38) ◽  
pp. 12759-12769 ◽  
Author(s):  
J. A. King ◽  
F. M. Korb ◽  
D. Y. von Cramon ◽  
M. Ullsperger
Keyword(s):  
Information Processing ◽  
Irrelevant Information ◽  
Task Irrelevant ◽  
And Task

Developmental Trends in the Processing of Task-Relevant and Task-Irrelevant Information

1969 ◽  
Vol 40 (2) ◽  
pp. 371 ◽  
Author(s):  
Joseph F. Druker ◽  
John W. Hagen
Keyword(s):  
Irrelevant Information ◽  
Developmental Trends ◽  
Task Irrelevant ◽  
And Task

Cueing Employability in the Gig Economy: Effects of Task-Relevant and Task-Irrelevant Information on Fiverr

2017 ◽  
Vol 31 (3) ◽  
pp. 409-428 ◽  
Author(s):  
Caleb T. Carr ◽  
Robert D. Hall ◽  
Adam J. Mason ◽  
Eric J. Varney
Keyword(s):  
Relevant Information ◽  
Irrelevant Information ◽  
Job Skills ◽  
Job Fit ◽  
Stimulus Contrast ◽  
Self And Other ◽  
Gig Economy ◽  
Task Irrelevant ◽  
Practical Implications ◽  
And Task

When evaluating an applicant online, individuals are often concurrently exposed to a diverse cross-section of self- and other-generated information with varying relevance to the candidate’s actual job skills. Moreover, these various data may not always be internally consistent. Utilizing profiles on the microtask site Fiverr, a fully-crossed 2 × 2 × 2 experiment (N= 92) tested main and interaction effects of exposure positively- and negatively-valenced (1) self-generated task-relevant, (2) self-generated task-irrlevant photographic, and (3) other-generated task-relevant information, all within the same stimulus. Contrast analyses results support significant interactions among cues on perceptions of an applicants’ employability and person-job fit. The significant two- and three-way interactions are discussed with respect to warranting theory and the halo effect, and practical implications for applicants and employers are presented.

scholarly journals Ten simple rules to study distractor suppression

2021 ◽  
Author(s):  
Malte Wöstmann ◽  
Viola S. Störmer ◽  
Jonas Obleser ◽  
Douglas A Addleman ◽  
Søren Andersen ◽  
...  
Keyword(s):  
Selective Attention ◽  
Irrelevant Information ◽  
Simple Rules ◽  
Different Types ◽  
Task Irrelevant ◽  
And Task

Distractor suppression refers to the ability to filter out distracting and task-irrelevant information. Distractor suppression is essential for survival and considered a key aspect of selective attention. Despite the recent and rapidly evolving literature on distractor suppression, we still know little about how distracting information is suppressed. What limits progress is that we lack mutually agreed upon principles of how to study distractor suppression. Here, we offer ten simple rules that we believe are fundamental when investigating distractor suppression. We provide guidelines on how to design conclusive experiments on distractor suppression (Rules 1-3), discuss different types of distractor suppression that need to be distinguished (Rules 4-6), and provide an overview of models of distractor suppression and considerations of how to evaluate distractor suppression statistically (Rules 7-10). Together, these rules provide a concise and comprehensive synopsis of promising advances in the field of distractor suppression. Following these rules will propel research on distractor suppression in important ways, not only by highlighting prominent issues to both new and more advanced researchers in the field, but also by facilitating communication between sub-disciplines.

Information processing rates and task complexity.

1970 ◽  
Vol 83 (1, Pt.1) ◽  
pp. 131-135 ◽  
Author(s):  
Richard W. Olshavsky ◽  
Lee W. Gregg
Keyword(s):  
Information Processing ◽  
Task Complexity ◽  
And Task

scholarly journals Age-related differences in the neural bases of phonological and semantic processes in the context of task-irrelevant information

2018 ◽  
Vol 19 (4) ◽  
pp. 829-844 ◽  
Author(s):  
Michele T. Diaz ◽  
Micah A. Johnson ◽  
Deborah M. Burke ◽  
Trong-Kha Truong ◽  
David J. Madden
Keyword(s):  
Irrelevant Information ◽  
Age Related ◽  
Neural Bases ◽  
Task Irrelevant ◽  
Semantic Processes
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