TY - GEN
T1 - Toward real-time brain sensing for learning assessment
T2 - 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016
AU - Keating, Shelby
AU - Walker, Erin
AU - Motupali, Anil
AU - Solovey, Erin
N1 - Publisher Copyright:
© 2016 Authors.
PY - 2016/5/7
Y1 - 2016/5/7
N2 - By integrating real-time brain input into personalized learning environments, it would be possible to capture a learner's changing cognitive state and adapt the learning experience appropriately. Working toward this goal, we aim to develop a robust system that can classify a user's cognitive state during a learning activity, using brain data collected with functional near-infrared spectroscopy, an emerging non-invasive neuroimaging tool. This paper describes preliminary steps we have taken toward this objective as well as the underlying vision and research goals. This work has implications for online education as well as the growing fields of brain-computer interfaces and physiological computing.
AB - By integrating real-time brain input into personalized learning environments, it would be possible to capture a learner's changing cognitive state and adapt the learning experience appropriately. Working toward this goal, we aim to develop a robust system that can classify a user's cognitive state during a learning activity, using brain data collected with functional near-infrared spectroscopy, an emerging non-invasive neuroimaging tool. This paper describes preliminary steps we have taken toward this objective as well as the underlying vision and research goals. This work has implications for online education as well as the growing fields of brain-computer interfaces and physiological computing.
KW - Brain-computer interfaces
KW - Educational data mining
KW - Functional near-infrared spectroscopy
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85014657752&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85014657752&partnerID=8YFLogxK
U2 - 10.1145/2851581.2892496
DO - 10.1145/2851581.2892496
M3 - Conference contribution
AN - SCOPUS:85014657752
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1698
EP - 1705
BT - CHI EA 2016
PB - Association for Computing Machinery
Y2 - 7 May 2016 through 12 May 2016
ER -