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

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 conference › Paper › Scientific › peer-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.

Original language	English
Publication status	Published - 2021
Event	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 - Duration: 25 Jul 2021 → 29 Jul 2021

Conference

Conference	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
Period	25/07/21 → 29/07/21

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Steinrucke2021_AHFE1755Final published version, 348 KB

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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. Paper presented at 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.

@conference{22c052824e6a4070a392c9a98bef5b91,

title = "Data2Game: Towards an Integrated Demonstrator",

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{\textquoteright} 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.",

author = "Johannes Steinr{\"u}cke and \{Mavromoustakos Blom\}, Paris and \{van Stegeren\}, Judith and Ymko Attema and Sander Bakkes and \{de Groot\}, Thomas and \{de Heer\}, Johan and Dirk Heylen and Rafal Hrynkiewicz and \{de Jong\}, Ton and Tije Oortwijn and Pieter Spronck and Mari{\"e}t Theune and Bernard Veldkamp",

year = "2021",

language = "English",

note = "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 ; Conference date: 25-07-2021 Through 29-07-2021",

}

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', Paper presented at 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, 25/07/21 - 29/07/21.

Data2Game: Towards an Integrated Demonstrator. / Steinrücke, Johannes; Mavromoustakos Blom, Paris; van Stegeren, Judith et al.
2021. Paper presented at 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.

Research output: Contribution to conference › Paper › Scientific › peer-review

TY - CONF

T1 - Data2Game: Towards an Integrated Demonstrator

AU - Steinrücke, Johannes

AU - Mavromoustakos Blom, Paris

AU - van Stegeren, Judith

AU - Attema, Ymko

AU - Bakkes, Sander

AU - de Groot, Thomas

AU - de Heer, Johan

AU - Heylen, Dirk

AU - Hrynkiewicz, Rafal

AU - de Jong, Ton

AU - Oortwijn, Tije

AU - Spronck, Pieter

AU - Theune, Mariët

AU - Veldkamp, Bernard

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

M3 - Paper

T2 - 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

Y2 - 25 July 2021 through 29 July 2021

ER -

Data2Game: Towards an Integrated Demonstrator

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