Paper Info
Title
Learn Piano with BACh: An Adaptive Learning Interface that Adjusts Task Difficulty Based on Brain State.
Abstract
We present Brain Automated Chorales (BACh), an adaptive brain-computer system that dynamically increases the levels of difficulty in a musical learning task based on pianists' cognitive workload measured by functional near-infrared spectroscopy. As users' cognitive workload fell below a certain threshold, suggesting that they had mastered the material and could handle more cognitive information, BACh automatically increased the difficulty of the learning task. We found that learners played with significantly increased accuracy and speed in the brain-based adaptive task compared to our control condition. Participant feedback indicated that they felt they learned better with BACh and they liked the timings of the level changes. The underlying premise of BACh can be applied to learning situations where a task can be broken down into increasing levels of difficulty.
Year
DOI
Venue
2016
10.1145/2858036.2858388
CHI
Keywords
Field
DocType
H.5.m. Information Interfaces and Presentation : Misc, Learning, Brain-Computer Interface (BCI), functional Near Infrared Spectroscopy (fNIRS), Adaptive, Cognitive Workload, Music, Piano
Computer science,Brain–computer interface,Speech recognition,Premise,Cognitive workload,Piano,Cognition,Adaptive learning
Conference
Citations 
PageRank 
References 
17
0.98
17
Authors
7
Name
Order
Citations
PageRank
Beste F Yuksel1928.16
Kurt B. Oleson2170.98
Lane Harrison324320.22
Evan M. Peck415012.97
Daniel Afergan51297.98
Remco Chang698364.96
Robert J. K. Jacob72862341.84