Difference between revisions of "Talk:Affective VideoGames"
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24/4-30/4 Working on the developmnent of a XML parser capable of extracting labels for classifying the difficulty of tracks of TORCS. Work prior to first acquisitions. | 24/4-30/4 Working on the developmnent of a XML parser capable of extracting labels for classifying the difficulty of tracks of TORCS. Work prior to first acquisitions. | ||
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| + | 01/05-31/05 Working on first acquisitions of biological signals from myself (and Andrea Campana) while experiencing the videogame TORCS. In the meanwhile a first software prototype has been developed aiming at discovering specific patterns in players' emotions while playing the game. In this stage I started from the work already done from the Affective Videogames research group of DEI. | ||
| + | First results on the single user show some specific pattern in user's emotions. Next stage will be devoted to the acquisition of biological data from many other players to study the inter-subject variability and to find common invariants. | ||
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| + | 01/06-15/06 Acquisition of biological data from many different subjects who played TORCS as volunteers according to a planned set of experiments. | ||
Revision as of 15:29, 5 July 2009
- Andrea Tommaso Bonanno
13/3-27/3 Reading "Reinforcement Learning: an introduction"
28/3-23/4 Reading several publications on ANS specificity and physiological signal analysis. Studying 3 different games(TORCS, Frets on Fire, Beaver Valley) for the identification of useful parameters for the purpose of the project.
24/4-30/4 Working on the developmnent of a XML parser capable of extracting labels for classifying the difficulty of tracks of TORCS. Work prior to first acquisitions.
01/05-31/05 Working on first acquisitions of biological signals from myself (and Andrea Campana) while experiencing the videogame TORCS. In the meanwhile a first software prototype has been developed aiming at discovering specific patterns in players' emotions while playing the game. In this stage I started from the work already done from the Affective Videogames research group of DEI. First results on the single user show some specific pattern in user's emotions. Next stage will be devoted to the acquisition of biological data from many other players to study the inter-subject variability and to find common invariants.
01/06-15/06 Acquisition of biological data from many different subjects who played TORCS as volunteers according to a planned set of experiments.
