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 |
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Title of host publication | 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 |
Editors | Tareq Z. Ahram, Christianne S. Falcão |
Place of Publication | Cham |
Publisher | Springer |
Pages | 239-247 |
Number of pages | 9 |
ISBN (Electronic) | 978-3-030-80091-8 |
ISBN (Print) | 978-3-030-80090-1 |
DOIs | |
Publication status | Published - 2021 |
Event | 12th International Conference on Applied Human Factors and Ergonomics, AHFE 2021 - Virtual, Online Duration: 25 Jul 2021 → 29 Jul 2021 Conference number: 12 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 275 |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 12th International Conference on Applied Human Factors and Ergonomics, AHFE 2021 |
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Abbreviated title | AHFE 2021 |
City | Virtual, Online |
Period | 25/07/21 → 29/07/21 |
Keywords
- Player assessment
- Sensory data
- Serious games
- Text generation