We present a probabilistic model that assesses student emotional reaction during interaction with an educational game. Following a well-known cognitive theory of emotions (the OCC theory), the model predicts a student’s emotional state by assessing the student’s appraisal of her interaction with the game, in light of the student’s goals and personality. We illustrate how the model relies on a Dynamic Decision Network that is based on both the OCC theory and observations from two user studies.
Emotional, cognitive, and motivational processes are dynamic and influence each other during learnin...
A model of affect and learning for intelligent tutoring systems is proposed. The model considers bot...
AbstractGame AI agents today do not reflect the affective aspects of human behavior. In particular, ...
Electronic educational games integrate the target domain knowledge in a game-like environment in or...
We present a probabilistic model to monitor a user’s emotions and engagement during the interaction ...
Game-based learning (GBL) environments introduced a new generation of Intelligent Tutor- ing Systems...
Abstract. Evidence of the strong relationship between learning and emotion has fueled recent work in...
Research in game-based learning environments aims to recognise and show emotion. This chapter descri...
Abstract. Evidence of the strong relationship between learning and emotion has fueled recent work in...
Human emotional capabilities have recently been considered essential in decision making. An emotiona...
Computational models of emotion are useful in a variety of domains such as for development of believ...
How might one go about measuring emotional and perceptual response to games? What is needed to move ...
In this paper, we consider emotion as a factor in the decision-making process and actions taken by a...
Although various emotion models have been proposed based on appraisal theories, most of them focus o...
We present a framework for affective user modeling that deals with the high level of uncertainty inv...
Emotional, cognitive, and motivational processes are dynamic and influence each other during learnin...
A model of affect and learning for intelligent tutoring systems is proposed. The model considers bot...
AbstractGame AI agents today do not reflect the affective aspects of human behavior. In particular, ...
Electronic educational games integrate the target domain knowledge in a game-like environment in or...
We present a probabilistic model to monitor a user’s emotions and engagement during the interaction ...
Game-based learning (GBL) environments introduced a new generation of Intelligent Tutor- ing Systems...
Abstract. Evidence of the strong relationship between learning and emotion has fueled recent work in...
Research in game-based learning environments aims to recognise and show emotion. This chapter descri...
Abstract. Evidence of the strong relationship between learning and emotion has fueled recent work in...
Human emotional capabilities have recently been considered essential in decision making. An emotiona...
Computational models of emotion are useful in a variety of domains such as for development of believ...
How might one go about measuring emotional and perceptual response to games? What is needed to move ...
In this paper, we consider emotion as a factor in the decision-making process and actions taken by a...
Although various emotion models have been proposed based on appraisal theories, most of them focus o...
We present a framework for affective user modeling that deals with the high level of uncertainty inv...
Emotional, cognitive, and motivational processes are dynamic and influence each other during learnin...
A model of affect and learning for intelligent tutoring systems is proposed. The model considers bot...
AbstractGame AI agents today do not reflect the affective aspects of human behavior. In particular, ...