Evaluation of attention levels in a tetris game using a brain computer interface

dc.contributor.author	Πάτσης, Γεώργιος Π.	el
dc.contributor.author	Sahli, Hichem	en
dc.contributor.author	Verhelst, Werner	en
dc.contributor.author	De Troyer, Olga M.F.	en
dc.date.accessioned	2015-06-07T19:55:27Z
dc.date.available	2015-06-07T19:55:27Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15542
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/	en
dc.subject	attention levels
dc.subject	brain computer interface
dc.subject	brain signal
dc.subject	dynamically adjust game difficulty
dc.subject	Tetris
dc.subject	επίπεδα προσοχής
dc.subject	Διεπαφή εγκεφάλου υπολογιστή
dc.subject	Δυναμικά προσαρμοζόμενη δυσκολία παιχνιδιού
dc.title	Evaluation of attention levels in a tetris game using a brain computer interface	en
heal.type	conferenceItem
heal.identifier.secondary	DOI: 10.1007/978-3-642-38844-6_11
heal.language	en
heal.access	campus
heal.publicationDate	2013
heal.bibliographicCitation	Patsis, G.P., Sahli, H., Verhelst, W. & De Troyer, O.M.F. (2013) Evaluation of attention levels in a tetris game using a brain computer interface, In: 21st International Conference on User Modeling, Adaptation and Personalization, UMAP 2013. Rome, Italy. 10-14 June, 2013. [online] 7899 LNCS. p. 127-138. Available from: http://link.springer.com/	en
heal.abstract	This paper investigates the possibility of using information from brain signals, obtained through a light and inexpensive Brain Computer Interface (BCI), in order to dynamically adjust the difficulty of an educational video game and adapt the level of challenge to players' abilities. In this experiment, attention levels of Tetris players - measured with the BCI - have been evaluated as a function of game difficulty. Processing of the data revealed that both in intra- and inter- player analysis, an increase in game difficulty was followed by an increase in attention. These results come in accordance with similar experiments performed with a 19 sensor EEG cap, as opposed to the single-dry-sensor BCI used here. These findings give new possibilities in the development of educational games that adapt to the mental state of player/learner.	en
heal.publisher	Springer Verlag	en
heal.fullTextAvailability	true
heal.conferenceName	21st International Conference on User Modeling, Adaptation and Personalization, UMAP 2013	en
heal.conferenceItemType	poster