Difference between revisions of "Videogame adaptation"
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This project, belonging to the [[Affective VideoGames]] research line, is aimed at closing the affective adaptation loop on TORCS. Physiological data collected from users playing TORCS are used to model their preferences and this model is in turn used to adapt the game so to have it matching the user preferences as felt by the user. | This project, belonging to the [[Affective VideoGames]] research line, is aimed at closing the affective adaptation loop on TORCS. Physiological data collected from users playing TORCS are used to model their preferences and this model is in turn used to adapt the game so to have it matching the user preferences as felt by the user. | ||
− | The project is done as part of a course in the Biomedical Engineering Track held by prof. | + | The project is done as part of a course in the Biomedical Engineering Track held by prof. [http://www.biomed.polimi.it/BioIntro/personale/docente/bianchi.htm | Anna Maria Bianchi] |
Revision as of 09:47, 4 May 2010
Videogame adaptation
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Short Description: | Adaptation of TORCS to match the user preferences detected from physiological signals |
Coordinator: | AndreaBonarini (andrea.bonarini@polimi.it) |
Tutor: | SimoneTognetti (tognetti@elet.polimi.it), MaurizioGarbarino (garbarino@elet.polimi.it) |
Collaborator: | |
Students: | AntonellaBelfatto (antonella.belfatto@mail.polimi.it), BarbaraBruno (barbara_bruno03@libero.it) |
Research Area: | Affective Computing |
Research Topic: | Affective Computing And BioSignals |
Start: | 2010/04/01 |
End: | 2010/09/30 |
Status: | Active |
Level: | Ms |
Type: | Course |
This project, belonging to the Affective VideoGames research line, is aimed at closing the affective adaptation loop on TORCS. Physiological data collected from users playing TORCS are used to model their preferences and this model is in turn used to adapt the game so to have it matching the user preferences as felt by the user.
The project is done as part of a course in the Biomedical Engineering Track held by prof. | Anna Maria Bianchi