Working Memory Dimensions as Differential Predictors of the Speed and Error Aspect of Multitasking Performance
By M. Bühner, Cornelius J. Konig, M. Pick, Stefan Krumm. 2006
153 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/d2abf6d465f86f8a3b55432f3c0bcfd3dd82a7de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Thomas S. Redick
- Zach Shipstead
- R. Engle
- M. Bühner
- Jessie Y.C. Chen
- Jens B. Asendorpf
- Michael J. Barnes
- Nash Unsworth
In Experimental and Cognitive Psychology
- Thomas S. Redick
- Zach Shipstead
- R. Engle
- M. Bühner
- Erik Danay
- Jessie Y.C. Chen
- Matthias Ziegler
- Jens B. Asendorpf
In Organizational Behavior and Human Resource Management
Citations in the corpus
- Openness, fluid intelligence, and crystallized intelligence: Toward an integrative model (2012, background): “Bühner et al. (2005) showed that the constructs can be considered distinct despite their shared variance.”
- Does working memory training generalize (2010, background): “…found evidence that people who are high in WMC are less likely to mind-wander when focus is needed (Kane et al., 2007a), are better multi-taskers (Buhner et al., 2006; Hambrick et al., 2010), are more skilled at engaging in effortful regulation of emotion (Schmeichel, Volokhov, & Demaree, 2008),…”
- Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, background): “working memory capacity may be a better predictor of multitasking performance than attention [145], [146], especially visuospatial working memory [147].”