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TitleSupervising and improving attentiveness in human computer interaction
Author(s)Durães, Dalila
Carneiro, Davide Rua
Bajo, Javier
Novais, Paulo
KeywordsAmbient intelligence
Learning styles
Innovative scenarios
Issue date2016
PublisherIOS Press
JournalAmbient Intelligence and Smart Environments
CitationDurães D., Carneiro D., Bajo J., Novais P., Supervising and Improving Attentiveness in Human Computer Interaction, Intelligent Environments 2016 – Workshop Proceedings of the 12th International Conference on Intelligent Environments, IOS Press, pp 255-265, ISBN: 978-1-61499-689-7, 2016.
Abstract(s)The collection, storage, management, and anticipation of contextual information about the user to support decision-making constitute some of the key operations in most Ambient Intelligent (AmI) systems. When the instructor has a computer-based class it is often difficult to confirm if the students are working in the proposed activities. In order to mitigate problems that might occur in an environment with learning technologies we suggest an AmI system aimed at capturing, measuring, and supervising the students’ level of attentiveness in real scenarios and dynamically provide recommendations to the instructor. With this system it is possible to assess both individual and group attention, in real-time, providing a measure of the level of engagement of each student in the proposed activities and allowing the instructor to better steer teaching methodologies.
TypeConference paper
Publisher version
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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