From 85d51773e484322664b75dc38218f21d3678c344 Mon Sep 17 00:00:00 2001 From: Mohammad Bayazi <38682913+MohammadJavadD@users.noreply.github.com> Date: Fri, 29 Sep 2023 16:03:50 -0400 Subject: [PATCH 1/2] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b0e8ceb..aaa4c6f 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,7 @@ A list of all public EEG-datasets. This list of EEG-resources is not exhaustive. 7. [SEED-VIG](http://bcmi.sjtu.edu.cn/~seed/seed-vig.html): Vigilance labels with EEG data in a simulated driving task. 18 electrodes and eye-tracking included. 8. [HCI-Tagging](https://mahnob-db.eu/hci-tagging/): Subjetcs were shown video clips (fragments of movies) and they were asked to annotate the emotional state on the scale of valence and arousal. During the whole experiment, audio, video, gaze data and physiological data were recorded simultaneously with accurate synchronisation between sensors. 9. [Regulation of Arousal](https://ieee-dataport.org/open-access/regulation-arousal-online-neurofeedback-improves-human-performance-demanding-sensory): 18 subjects going through an online flight simulator study with three different audio-feedback silence, sham and BCI. [[Article]](https://www.pnas.org/content/116/13/6482) + 10. 9. [Beyond performance](https://www.nature.com/articles/s41598-023-41427-4#Sec13): The paper investigates how ab initio pilots (pilots who are undergoing initial flight training) perform a flight simulator task with different difficulty levels and how their performance is related to their self-report state understanding using Nasa-TLX, behavioural data and physiological responses, such as heart rate, EEG, and pupil size. The paper also explores how individual differences in capacity, arousal, and effort affect the pilots’ task efficiency and learning outcomes. * **Error-Related Potentials (ErrP)** From 17b1048a7074df21abdcc804ab7485ffe424d479 Mon Sep 17 00:00:00 2001 From: Mohammad Bayazi <38682913+MohammadJavadD@users.noreply.github.com> Date: Fri, 29 Sep 2023 16:05:57 -0400 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index aaa4c6f..9d27c36 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ A list of all public EEG-datasets. This list of EEG-resources is not exhaustive. 7. [SEED-VIG](http://bcmi.sjtu.edu.cn/~seed/seed-vig.html): Vigilance labels with EEG data in a simulated driving task. 18 electrodes and eye-tracking included. 8. [HCI-Tagging](https://mahnob-db.eu/hci-tagging/): Subjetcs were shown video clips (fragments of movies) and they were asked to annotate the emotional state on the scale of valence and arousal. During the whole experiment, audio, video, gaze data and physiological data were recorded simultaneously with accurate synchronisation between sensors. 9. [Regulation of Arousal](https://ieee-dataport.org/open-access/regulation-arousal-online-neurofeedback-improves-human-performance-demanding-sensory): 18 subjects going through an online flight simulator study with three different audio-feedback silence, sham and BCI. [[Article]](https://www.pnas.org/content/116/13/6482) - 10. 9. [Beyond performance](https://www.nature.com/articles/s41598-023-41427-4#Sec13): The paper investigates how ab initio pilots (pilots who are undergoing initial flight training) perform a flight simulator task with different difficulty levels and how their performance is related to their self-report state understanding using Nasa-TLX, behavioural data and physiological responses, such as heart rate, EEG, and pupil size. The paper also explores how individual differences in capacity, arousal, and effort affect the pilots’ task efficiency and learning outcomes. + 10. [Beyond performance](https://www.nature.com/articles/s41598-023-41427-4#Sec13): The paper investigates how ab initio pilots (pilots who are undergoing initial flight training) perform a flight simulator task with different difficulty levels and how their performance is related to their self-report state understanding using Nasa-TLX, behavioural data and physiological responses, such as heart rate, EEG, and pupil size. The paper also explores how individual differences in capacity, arousal, and effort affect the pilots’ task efficiency and learning outcomes. Data is available from the corresponding author upon reasonable request. * **Error-Related Potentials (ErrP)**