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' …

In the field of HCI, researchers from diverse backgrounds have taken a broad view of
application domains that could benefit from brain signals, both by applying HCI methods to …

In human-computer interaction (HCI), there has been a push towards open science, but to
date, this has not happened consistently for HCI research utilizing brain signals due to …

A growing body of recent work has shown the feasibility of brain and body sensors as input
to interactive systems. However, the interaction techniques and design decisions for their …

Abstract Motor-Imagery based Brain Computer Interfaces (MI-BCIs) allow users to interact
with computers by imagining limb movements. MI-BCIs are very promising for a wide range …

The degree and quality of instructor-student interactions are crucial for students'
engagement, retention, and learning outcomes. However, such interactions are limited in …

Functional near-infrared spectroscopy (fNIRS) holds increasing potential for Brain-Computer
Interfaces (BCI) due to its portability, ease of application, robustness to movement artifacts …

In this paper, we evaluate the possibility of detecting continuous changes in the user's
cognitive workload using functional near-infrared spectroscopy (fNIRS). We dissect the …

As wearable computing becomes more mainstream, it holds the promise of delivering timely,
relevant notifications to the user. However, these devices can potentially inundate the user …

Brain-computer interfaces (BCI) are an emerging technology with many potential
applications. Functional near-infrared spectroscopy (fNIRS) can provide a convenient and …