@inproceedings{031e3fb829884ce7b4eac49affe40419,
title = "Insights into user personality and learning styles through cross subject fNIRS classification",
abstract = "There is limited literature on classifying user personality/learning style and other cross subject traits using brain activity patterns. In this paper we describe an experiment to classify a computer user's' personality type and learning style using their brain data acquired while they were conducting spatial/verbal tasks in front of a computer. The brain activity in the left and right hemispheres were measured by an fNIRS device and the resulting data was analyzed using the participant's personality/learning style as the label (Obtained through established survey instruments). We obtained promising results for all of the traits we strived to classify providing paths for future research into this area.",
keywords = "Cross subject Classification, fNIRS, Learning styles, Personality, Visual/Verbal tasks",
author = "Danushka Bandara and Hirshfield, {Leanne M} and Senem Velipasalar",
year = "2014",
doi = "10.1007/978-3-319-07527-3_17",
language = "English (US)",
isbn = "9783319075266",
volume = "8534 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "181--189",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "8th International Conference on Augmented Cognition, AC 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014 ; Conference date: 22-06-2014 Through 27-06-2014",
}