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dc.contributor.authorGiannakos, Michail
dc.contributor.authorSharma, Kshitij
dc.contributor.authorNiforatos, Evangelos
dc.date.accessioned2020-01-03T14:26:43Z
dc.date.available2020-01-03T14:26:43Z
dc.date.created2019-12-31T16:21:36Z
dc.date.issued2019
dc.identifier.isbn978-1-7281-4540-2
dc.identifier.urihttp://hdl.handle.net/11250/2634859
dc.description.abstractGames are nowadays used to enhance different learning and teaching practices in institutions, companies and other venues. Factors that increase the adoption and integration of learning games have been widely studied in the past. However, the effect of different backgrounds and designs on learners'/players' electroencephalographic (EEG) signals during game-play remains under-explored. These insights may enable us to design and utilize games in a way that adapts to users' cognitive abilities and facilitates learning. In this paper, we describe a controlled study consisted of 251 game sessions and 17 players that focused on skill development (i.e., user's ability to master complex tasks), while collecting EEG and game-play data. Our results unveiled factors that relate to the game-phases and learners'/players' expertise and affect their mental effort when playing a learning game. In particular, our analysis showed an effect of players background (experience and performance) and games design (number of attempts/lives and difficulty) on players mental effort during the game-play. Finally, we discussed how such effects could benefit the design and application of games for learning as well as, directions for future research.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartof2019 11th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games)
dc.titleExploring EEG signals during the different phases of game-player interactionnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.identifier.doi10.1109/VS-Games.2019.8864519
dc.identifier.cristin1764581
dc.relation.projectNorges forskningsråd: 255129nb_NO
dc.relation.projectNorges forskningsråd: 290994nb_NO
dc.description.localcode© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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