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dc.contributor.authorLee-Cultura, Serena
dc.contributor.authorSharma, Kshitij
dc.contributor.authorAloizou, Valeria
dc.contributor.authorRetalis, Symeon
dc.contributor.authorGiannakos, Michail
dc.date.accessioned2021-04-08T08:44:00Z
dc.date.available2021-04-08T08:44:00Z
dc.date.created2021-01-04T16:38:59Z
dc.date.issued2020
dc.identifier.isbn978-1-4503-8074-4
dc.identifier.urihttps://hdl.handle.net/11250/2736774
dc.description.abstractLeveraging movement data to support children's learning is appealing and technically challenging. However, there is limited knowledge about exploiting the complete design potential of bodily interplay in learning games. We conducted an in-the-wild study with 8 children, with special educational needs, playing a language based educational motion-based touchless game. We collected children's interaction data (correctness and reaction time), and data regarding the different design elements (game settings) implemented in 90 game sessions. Our analysis shows that number of items on-screen, selection gestures, and time to select items, impact the effectiveness (correctness) and efficiency (reaction time) of the children. We highlight the value of interaction analytics and quantify the relationship between different game design elements and children's efficiency and effectiveness. Our findings help shape the future of learning research by emphasising the substantial benefits of collecting movement data during children's interaction with learning games.en_US
dc.language.isoengen_US
dc.publisherACMen_US
dc.relation.ispartofProceedings of the Annual Symposium on Computer-Human Interaction in Play
dc.titleChildren's Interaction with Motion-Based Touchless Games: Kinecting Effectiveness and Efficiencyen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber140-145en_US
dc.identifier.doihttps://doi.org/10.1145/3383668.3419937
dc.identifier.cristin1865111
dc.description.localcode© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here,https://doi.org/10.1145/3383668.3419937en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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