Forced choice error correction with ambiguous error feedback

2009 ◽  
Author(s):  
Elena G. Patsenko ◽  
Erik M. Altmann
Keyword(s):  
Error Correction ◽  
Forced Choice ◽  
Error Feedback

The Research of Rainfall Error Correction Based on System Response Curve

2013 ◽  
Vol 368-370 ◽  
pp. 335-339
Author(s):  
Wei Si ◽  
Wei Min Bao ◽  
Hong Yan Wang ◽  
Si Min Qu
Keyword(s):  
Error Correction ◽  
Real Time ◽  
Response Curve ◽  
Flood Forecasting ◽  
Good Effect ◽  
System Response ◽  
Error Feedback ◽  
Model Tracing ◽  
Curve Method ◽  
Source Of Information

The rainfall error affects the accuracy of flood forecasting directly, and the error correction is very important to improve the accuracy of real-time flood forecasting. The system response curve was introduced into the real-time flood forecast updating system, and the error feedback updating model tracing the source of information was established in this paper. In order to certificate the feasibility, rationality and effectiveness of the method multi-directionally, the system response curve method and the second order autoregressive error correction were used in updating the 13 flood events of the Wangjiaba sub-basin of Huaihe River Basin respectively. The results show that the system response curve (SRC) method has physical conception, reasonable structure and good effect. The method will not lose the forecasting period and without increasing the parameters. In this study, the average NS of system response curve method was larger than 0.920. So, this method can be widely used in rainfall error correction for real-time flood forecasting.

scholarly journals Does speed of recognition predict two-alternative forced-choice performance? Replicating and extending Starns, Dubé, and Frelinger (2018)

2020 ◽  
Vol 74 (1) ◽  
pp. 122-134
Author(s):  
Anne Voormann ◽  
Annelie Rothe-Wulf ◽  
Jeffrey J Starns ◽  
Karl Christoph Klauer
Keyword(s):  
Error Correction ◽  
Recognition Task ◽  
Item Recognition ◽  
Forced Choice ◽  
Single Item ◽  
Item Recognition Task ◽  
Simple Error ◽  
Speed Effect ◽  
Recognition Errors ◽  
Previous Error

Does the speed of single-item recognition errors predict performance in subsequent two-alternative forced-choice (2AFC) trials that include an item with a previous error response? Starns, Dubé, and Frelinger found effects of this kind in two experiments and accounted for them in terms of continuous memory-strength signal guiding recognition decisions. However, the effects of error speed might just as well only reflect an artefact due to an error-correction strategy that uses response latency as a heuristic cue to guide 2AFC responses, elicited through confounding factors in their experimental design such as error-correction instructions and feedback. Using two conditions, a replication condition, replicating the procedure from Starns et al., and an extension condition (each n = 130), controlling for the named shortcomings, we replicated the error speed effect. In both conditions, speed of errors in a single-item recognition task was predictive of subsequent 2AFC performance, including the respective error item. To be more precise, fast errors were associated with decreased 2AFC performance. As there was no interaction with the factor condition, the results support the idea that speed of single-item recognition responses reflects the amount of memory information underlying the respective response rather than being used for a simple error-correction strategy to improve 2AFC performance.

Habit learning in a forced-choice task

2001 ◽  
Author(s):  
Markus Dressel ◽  
Teena D. Moody ◽  
Barbara J. Knowlton
Keyword(s):  
Forced Choice ◽  
Choice Task ◽  
Habit Learning ◽  
Forced Choice Task
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