Book chapter
Brain in the Loop Learning Using Functional Near Infrared Spectroscopy
Foundations of Augmented Cognition, pp 381-389
2013
Abstract
The role of practice is crucial in the skill acquisition process and for assessments of learning. In this study, we used a portable neuroimaging technique, functional near infrared (fNIR) spectroscopy for monitoring prefrontal cortex activation during learning of spatial navigation tasks throughout 11 days of training and testing. Two different tasks orders, blocked and random, were used to test the effect of the practice schedule on the acquisition and transfer of 3D computer mazes. Results indicated variable decreases in the hemodynamic response during the initial days of practice. Although there were no differences in mean oxygenation for the practice orders across acquisition the random practice order used less oxygenation than the blocked order for the more difficult tasks in the transfer phase Use of brain activation and behavioral measures provides can provide a more accurate depiction of the learning process. Since fNIR systems are safe, portable and record brain activation in ecologically valid settings, fNIR can contribute to future learning settings for assessment and personalization of the training regimen.
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7 citations in Scopus
Details
- Title
- Brain in the Loop Learning Using Functional Near Infrared Spectroscopy
- Creators
- Patricia A Shewokis - Drexel UniversityHasan Ayaz - Drexel UniversityAdrian Curtin - Drexel UniversityKurtulus Izzetoglu - Drexel UniversityBanu Onaral - Drexel University
- Publication Details
- Foundations of Augmented Cognition, pp 381-389
- Conference
- Foundations of Augmented Cognition, 5th International Conference (AC 2013), part of HCI International 2013, 5th (Las Vegas, Nevada, United States, 21 Jul 2013–26 Jul 2013)
- Series
- Lecture Notes in Computer Science; 8027
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Number of pages
- 9
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Nutrition Sciences
- Scopus ID
- 2-s2.0-84884842722
- Other Identifier
- 991014878446104721