scholarly journals Response Time Reduction Due to Retesting in Mental Speed Tests: A Meta-Analysis

2018 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Jana Scharfen ◽  
Diego Blum ◽  
Heinz Holling
Keyword(s):  
Response Time ◽  
Meta Analysis ◽  
Time Reduction

Device Response Time Reduction for Large-Scale and Fast Optical Switching Systems

2021 ◽  
Author(s):  
Kenya Suzuki ◽  
Kazushige Yonenaga ◽  
Noboru Takachio ◽  
Toshiki Tanaka ◽  
Osamu Moriwaki ◽  
...  
Keyword(s):  
Response Time ◽  
Optical Switching ◽  
Large Scale ◽  
Switching Systems ◽  
Time Reduction

Perceptual-Cognitive Expertise in Sport: A Meta-Analysis

2007 ◽  
Vol 29 (4) ◽  
pp. 457-478 ◽  
Author(s):  
Derek T.Y. Mann ◽  
A. Mark Williams ◽  
Paul Ward ◽  
Christopher M. Janelle
Keyword(s):  
Response Time ◽  
Meta Analysis ◽  
Empirical Work ◽  
Stimulus Presentation ◽  
Cognitive Skill ◽  
Response Accuracy ◽  
Perceptual Cues ◽  
Presentation Modality ◽  
Quiet Eye ◽  
Analytic Review

Research focusing on perceptual-cognitive skill in sport is abundant. However, the existing qualitative syntheses of this research lack the quantitative detail necessary to determine the magnitude of differences between groups of varying levels of skills, thereby limiting the theoretical and practical contribution of this body of literature. We present a meta-analytic review focusing on perceptual-cognitive skill in sport (N = 42 studies, 388 effect sizes) with the primary aim of quantifying expertise differences. Effects were calculated for a variety of dependent measures (i.e., response accuracy, response time, number of visual fixations, visual fixation duration, and quiet eye period) using point-biserial correlation. Results indicated that experts are better than nonexperts in picking up perceptual cues, as revealed by measures of response accuracy and response time. Systematic differences in visual search behaviors were also observed, with experts using fewer fixations of longer duration, including prolonged quiet eye periods, compared with nonexperts. Several factors (e.g., sport type, research paradigm employed, and stimulus presentation modality) significantly moderated the relationship between level of expertise and perceptual-cognitive skill. Practical and theoretical implications are presented and suggestions for empirical work are provided.

Response time reduction in make-to-order and assemble-to-order supply chain design

2009 ◽  
Vol 41 (5) ◽  
pp. 448-466 ◽  
Author(s):  
Navneet Vidyarthi ◽  
Samir Elhedhli ◽  
Elizabeth Jewkes
Keyword(s):  
Supply Chain ◽  
Response Time ◽  
Supply Chain Design ◽  
Make To Order ◽  
Time Reduction

scholarly journals Prolonged Response Time Concealed Information Test Decreases Probe-Control Differences but Increases Classification Accuracy

2021 ◽  
Author(s):  
Gáspár Lukács
Keyword(s):  
Response Time ◽  
Classification Accuracy ◽  
Meta Analysis ◽  
Real Life ◽  
Test Length ◽  
Concealed Information Test ◽  
Key Variables ◽  
Concealed Information ◽  
Murder Weapon ◽  
Information Test

The Response Time Concealed Information Test (RT-CIT) can reveal that a person recognizes a relevant item (probe, e.g. a murder weapon) among other, irrelevant items (controls), based on slower responses to the probe compared to the controls. The present paper assesses the influence of test length (due to practice, habituation, or fatigue) on two key variables in the RT-CIT: (a) probe-control differences and (b) classification accuracy, through a meta-analysis (using 12 previous experiments), as well as with two new experiments. It is consistently demonstrated that increased test length decreases probe-control differences but increases classification accuracies. The main implication for real-life application is that using altogether at least around 600 trials is optimal for the RT-CIT.

Leveraging Cloud Inter-zone Architecture for Response Time Reduction

2021 ◽  
pp. 87-97
Author(s):  
Birane Koundoul ◽  
Youssou Kasse ◽  
Fatoumata Balde ◽  
Bamba Gueye
Keyword(s):  
Response Time ◽  
Time Reduction

A Statistical Evaluation of Combining Human Productivity Metrics in the Indoor Environment

2021 ◽  
pp. 1-49
Author(s):  
Kevin Keene ◽  
Wooyoung Jung
Keyword(s):  
Response Time ◽  
Meta Analysis ◽  
Handling Time ◽  
Research Field ◽  
Complex Nature ◽  
Indoor Environmental Quality ◽  
Indoor Environments ◽  
Office Work ◽  
Call Handling ◽  
Speed Accuracy

Abstract The potential of improving human productivity by providing healthy indoor environments has been a consistent interest in the building field for decades. This research field’s long-standing challenge is to measure human productivity given the complex nature of office work. Previous studies have diversified productivity metrics, allowing greater flexibility in collecting human data; however, this diversity complicates the ability to combine productivity metrics from disparate studies within a meta-analysis. This study aims to categorize existing productivity metrics and statistically assess which categories show similar behavior when used to measure the impacts of indoor environmental quality. The 106 productivity metrics compiled were grouped into six productivity metric categories: neurobehavioral speed, accuracy, neurobehavioral response time, call handling time, self-reported productivity, and performance score. Then, this study set neurobehavioral speed as the baseline category given its fitness to the efficiency-based definition of productivity (i.e., output versus input) and conducted three statistical analyses with the other categories to evaluate their similarity. As results, the categories of neurobehavioral response time, self-reported productivity, and call handling time were found to have statistical similarity with neurobehavioral speed. This study contributes to creating a constructive research environment for future meta-analyses to understand which human productivity metrics can be combined with each other.

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