Learn Piano with BACh

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.

Empirically Investigating Extraneous Influences on the “APCO” Model—Childhood Brand Nostalgia and the Positivity Bias

“…This prior work points out the role of biases for privacy-related decision making processes. There is also related research pointing out that individuals follow their "gut feeling" when it comes to privacy-related decisions in practice [17]. Following these results, the biases in our model might be always existent for players of Pokémon Go.…”

“…Thus, a trade-off as described in the privacy calculus does not occur. In these situations, factors become relevant for the privacy-related decision-making process which objectively play no role for privacy and even the individuals themselves were unsure why they chose these factors as decisive factors [17]. Thus, CBN might be such an objectively irrelevant factor which still plays an important role for spontaneous (gut feeling) decisions and, therefore, eliminating the deliberate privacy calculus process at all.…”

Efficient implementation of high technologies in educational process

“…To expand the list of modern developments in education we can mention such technologies as learning with instruments of virtual reality [1], brain-computer interface [2] and physiological data (like electroencephalography, electrocardiogram etc.) tracking [3].…”

Evaluating the Usability of Passthought Authentication

“…A number of non-medical applications have been investigated for BCIs which include neurofeedback and meditation training, communication, 93 entertainment and gaming, [94][95][96] integrated control of connected internet-of-things (IoT) devices, 97 dynamic skill learning, 94,98 and workload management. 65,99,100 A…”

“…65,94,[98][99][100] Their general approach is to passively monitor indices of engagement and attention using fNIRS over the frontal cortical areas and based on that make adjustments to a different system that the user is engaging with. Jacob's group has successfully demonstrated this passive control paradigm with respect to skill learning, 94,98 and multi-tasking. 99,100 These findings raise interesting possibilities for BCIs to facilitate human-machine cooperation.…”