/studybreak

An application on the interaxon muse

Primary LanguageJava

#studybreak

An application on the interaxon muse

This is using a CHI12 paper as inspiration.

Pay Attention! Designing Adaptive Agents that Monitor and Improve User Engagement Dan Szafir, Bilge Mutlu

The key finding is that task engagement is positively correlated by a measure, E, which is calculated as Beta over (Alpha + Theta)

The idea is that at the start of a study session this will be high, but then waver as attention flags as the study session goes on.

MIT licensed. Derived from the Interaxon Muse sample app at http://developer.choosemuse.com/android/getting-started-with-libmuse-android