Data2Game: Towards an Integrated Demonstrator
Publication date
2021
Authors
Steinrücke, Johannes
Mavromoustakos-Blom, Paris
van Stegeren, Judith
Attema, Ymko
Bakkes, Sander
de Groot, Thomas
de Heer, Johan
Heylen, Dirk
Hrynkiewicz, Rafal
de Jong, Ton
Editors
Ahram, Tareq Z.
Falcão, Christianne S.
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
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.
Keywords
Player assessment, Sensory data, Serious games, Text generation, Taverne, Control and Systems Engineering, Signal Processing, Computer Networks and Communications
Citation
Steinrücke, J, Mavromoustakos-Blom, P, van Stegeren, J, Attema, Y, Bakkes, S, de Groot, T, de Heer, J, Heylen, D, Hrynkiewicz, R, de Jong, T, Oortwijn, T, Spronck, P, Theune, M & Veldkamp, B 2021, Data2Game : Towards an Integrated Demonstrator. in T Z Ahram & C S Falcão (eds), Advances in Usability, User Experience, Wearable and Assistive Technology - Proceedings of the AHFE 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, 2021. Lecture Notes in Networks and Systems, vol. 275, Springer, pp. 239-247, AHFE 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, 2021, Virtual, Online, 25/07/21. https://doi.org/10.1007/978-3-030-80091-8_28, conference