Data2Game: Towards an Integrated Demonstrator

Johannes Steinrücke*, Paris Mavromoustakos Blom, Judith van Stegeren, Ymko Attema, Sander Bakkes, Thomas de Groot, Johan de Heer, Dirk Heylen, Rafal Hrynkiewicz, Ton de Jong, Tije Oortwijn, Pieter Spronck, Mariët Theune, Bernard Veldkamp

*Corresponding author for this work

Research output: Contribution to conferencePaperScientificpeer-review

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Abstract

The Data2Game project investigates how the efficacy of computerized training games can be enhanced by tailoring training scenarios to the individual player. The research is centered around three research innovations: (1) techniques for the automated modelling of players’ affective states, based on exhibited social signals, (2) techniques for the automated generation of in-game narratives tailored to the learning needs of the player, and (3) validated studies on the relation of the player behavior and game properties to learning performance. This paper describes the integration of the main results into a joint prototype.

Conference

ConferenceAHFE 2021 Virtual Conferences on Usability and User Experience, Human Factors and Wearable Technologies, Human Factors in Virtual Environments and Game Design, and Human Factors and Assistive Technology
Period25/07/2129/07/21

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