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• W2594323408 abstract "Analysing and monitoring users' engaged-behaviours continuously and under ecologically valid conditions can reveal valuable information for designers and practitioners, allowing them to analyse, design and monitor the interactive mediated activity, and then to adapt and personalise it. An interactive mediated activity is a human activity supported by digital inter- active technologies. While classical metric methods fall within quantitative approaches, this paper proposes a qualitative approach to identifying users' engagement and qualifying their engaged-behaviours from their traces of inter- action. Traces of interaction represent the users' activities with an interactive environment. The basis of our approach is to transform low-level traces of inter- action into meaningful information represented in higher-level traces. For this, our approach combines three theoretical frameworks : the Self-Determination Theory, the Activity Theory and the Trace Theory. Our approach has been implemented and tested in the context of the QUEJANT Projet. QUEJANT targets the development of a system allowing the actors of Social Gaming to analyse players' engagement from an analysis of their activity traces. In order to demonstrate the feasibility of our approach, we implemented the whole pro- Ap reliminary version of the approach described in the present article has been presented at the CSEDU 2013 conference (Bouvier et al, 2013a) and has received the Best Paper Award of the conference. A preliminary and shorter version of the implementation section was published at the ICALT 2013 conference (Bouvier et al, 2013b)." @default.
• W2594323408 created "2017-03-16" @default.
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• W2594323408 date "2013-01-01" @default.
• W2594323408 modified "2023-09-26" @default.
• W2594323408 title "A trace-based approach to identifying users' engagement and qualifying their engaged-behaviours in interactive systems" @default.
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