TY - CHAP
T1 - User profiling: Towards a facebook game that reveals cognitive style
AU - Antoniou, Angeliki
AU - Lykourentzou, Ioanna
AU - Rompa, Jenny
AU - Tobias, Eric
AU - Lepouras, George
AU - Vassilakis, Costas
AU - Naudet, Yannick
PY - 2014
Y1 - 2014
N2 - This paper presents an innovative approach based on social-network gaming, which will extract players’ cognitive styles for personalization purposes. Cognitive styles describe the way individuals think, perceive and remember information and can be exploited to personalize user interaction. Questionnaires are usually employed to identify cognitive styles, a tedious process for most users. Our approach relies on a Facebook game for discovering potential visitors’ cognitive styles with an ultimate goal of enhancing the overall visitors’ experience in the museum. By hosting such a game on the museum’s webpage and on Facebook, the museum aims to attract new visitors, as well as to support the user profiling process.
AB - This paper presents an innovative approach based on social-network gaming, which will extract players’ cognitive styles for personalization purposes. Cognitive styles describe the way individuals think, perceive and remember information and can be exploited to personalize user interaction. Questionnaires are usually employed to identify cognitive styles, a tedious process for most users. Our approach relies on a Facebook game for discovering potential visitors’ cognitive styles with an ultimate goal of enhancing the overall visitors’ experience in the museum. By hosting such a game on the museum’s webpage and on Facebook, the museum aims to attract new visitors, as well as to support the user profiling process.
UR - https://www.mendeley.com/catalogue/fdcfc950-e509-3e39-a375-aa5e7afd29ae/
U2 - 10.1007/978-3-319-12157-4_28
DO - 10.1007/978-3-319-12157-4_28
M3 - Chapter
SN - 9783319121567
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 349
EP - 353
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer
ER -