Probabilistic Assessment of User's Emotions in Educational Games
- Topics:
- Video games
- Tags:
- Business Operations,
- Games,
- Personal Technology,
- Research & Development,
- University Of British Columbia
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Overview: The paper presents a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. It illustrates how the probabilistic model assesses affect by integrating evidence on both possible causes of the user's emotional arousal (i.e., the state of the interaction) and its effects (i.e., bodily expressions that are known to be influenced by emotional reactions). The probabilistic model relies on a Dynamic Decision Network to leverage any indirect evidence on the user's emotional state, in order to estimate this state and any other related variable in the model. This is crucial in a modeling task in which the available evidence usually varies with the user and with each particular interaction.
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Format: PDF | Size: 466KB | Date: Mar 2002 | Pages: 20
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