We took measurements for n = 16 randomly selected subtasks from Experiment 1 in a group of in-lab human subjects (n = 4) that used a chinrest and calibrated monitor setup. In A, we show that the overall accuracy of these in-lab subjects fell within the empirical support of the subject distribution from our online experiments. In B, we show that patterns of average accuracy (over subtasks) were tightly correlated between the in-lab and online populations (Spearman’s ρ = 0.94; see Section 1.1 in S1 Appendix). Errorbars are SEM (simple bootstrap over subjects). (TIF)</p
<p>Our solution outperforms the five Machine Learning approaches we have considered within our exper...
Funder: University of CambridgeAbstract: Due to increasing ease of use and ability to quickly collec...
<p>(top) Global averages, collapsed across all of the experimental trials. Participants rated the CS...
A. Subtask-averaged learning curves for humans and strong baseline models. The y-axis is the percent...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>Accuracy and corresponding information transfer rate for the 9 subjects during the online experim...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
<p>A) Variability of response times for both probe blocks. Errorbars show standard error across subj...
On average, participants gradually learned to choose outcomes correctly across six runs of scanned l...
<p>For each user and the grand average (GA), the performances of three experimental blocks are given...
Most research in statistical learning (SL) has focused on the mean success rates of participants in ...
As the Internet, the global medium of the future, expands exponentially, it has become increasingly ...
<p>(A) Group mean thresholds for training. Solid lines are least squares logarithmic fits. Error bar...
First published: 07 October 2017From a theoretical perspective, most discussions of statistical lear...
Abstract With the increasing sophistication and ubiquity of the Internet, behavioral research is on ...
<p>Our solution outperforms the five Machine Learning approaches we have considered within our exper...
Funder: University of CambridgeAbstract: Due to increasing ease of use and ability to quickly collec...
<p>(top) Global averages, collapsed across all of the experimental trials. Participants rated the CS...
A. Subtask-averaged learning curves for humans and strong baseline models. The y-axis is the percent...
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>Accuracy and corresponding information transfer rate for the 9 subjects during the online experim...
A. Individual-level learning curves. We identified 22 subjects who performed all 64 subtasks in Expe...
<p>A) Variability of response times for both probe blocks. Errorbars show standard error across subj...
On average, participants gradually learned to choose outcomes correctly across six runs of scanned l...
<p>For each user and the grand average (GA), the performances of three experimental blocks are given...
Most research in statistical learning (SL) has focused on the mean success rates of participants in ...
As the Internet, the global medium of the future, expands exponentially, it has become increasingly ...
<p>(A) Group mean thresholds for training. Solid lines are least squares logarithmic fits. Error bar...
First published: 07 October 2017From a theoretical perspective, most discussions of statistical lear...
Abstract With the increasing sophistication and ubiquity of the Internet, behavioral research is on ...
<p>Our solution outperforms the five Machine Learning approaches we have considered within our exper...
Funder: University of CambridgeAbstract: Due to increasing ease of use and ability to quickly collec...
<p>(top) Global averages, collapsed across all of the experimental trials. Participants rated the CS...