TY - GEN
T1 - Estimation of english skill with a mobile eye tracker
AU - Augereau, Olivier
AU - Fujiyoshi, Hiroki
AU - Kunze, Kai
AU - Kise, Koichi
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/9/12
Y1 - 2016/9/12
N2 - Learning a foreign language such as English is an importan task for many people. The process of learning take time and it is important to have a simple way to evaluate th progress of the skill. We propose a method to evaluate th reader's English skill based on a mobile eye tracking system The eye tracker captures the reader's behavior whil reading a document. The front camera of the eye tracke records the scene image that contains the read document By using a retrieval algorithm we can recognize the rea document and project the eye gaze data from the scene imag to the document space. Then, some features related t the reading and solving behavior on several documents ar computed. As a first result, we show that the TOEIC scor can be estimated with an error of 36.3 points.
AB - Learning a foreign language such as English is an importan task for many people. The process of learning take time and it is important to have a simple way to evaluate th progress of the skill. We propose a method to evaluate th reader's English skill based on a mobile eye tracking system The eye tracker captures the reader's behavior whil reading a document. The front camera of the eye tracke records the scene image that contains the read document By using a retrieval algorithm we can recognize the rea document and project the eye gaze data from the scene imag to the document space. Then, some features related t the reading and solving behavior on several documents ar computed. As a first result, we show that the TOEIC scor can be estimated with an error of 36.3 points.
KW - Eye tracking
KW - LLAH
KW - Language estimation
UR - http://www.scopus.com/inward/record.url?scp=84991109110&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991109110&partnerID=8YFLogxK
U2 - 10.1145/2968219.2968275
DO - 10.1145/2968219.2968275
M3 - Conference contribution
AN - SCOPUS:84991109110
T3 - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 1777
EP - 1781
BT - UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
T2 - 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
Y2 - 12 September 2016 through 16 September 2016
ER -