%0 Book Section %1 conati_2009 %A Conati, Cristina %A Maclaren, Heather %B User Modeling, Adaptation, and Personalization %C Heidelberg %D 2009 %E Houben, Geert-Jan %E McCalla, Gord %E Pianesi, Fabio %E Zancanaro, Massimo %I Springer %K affect bayesian_networks emg sota_brainwave sota_fwf user_model %P 4--15 %T Modeling User Affect from Causes and Effects %U http://dx.doi.org/10.1007/978-3-642-02247-0_4 %X We present a model of user affect to recognize multiple user emotions during interaction with an educational computer game. Our model deals with the high level of uncertainty involved in recognizing a variety of user emotions by probabilisticallycombining information on both the causes and effects of emotional reactions. In previous work, we presented the performanceand limitations of the model when using only causal information. In this paper, we discuss the addition of diagnostic informationon user affective valence detected via an EMG sensor, and present an evaluation of the resulting model.

@incollection{conati_2009, abstract = {We present a model of user affect to recognize multiple user emotions during interaction with an educational computer game. Our model deals with the high level of uncertainty involved in recognizing a variety of user emotions by probabilisticallycombining information on both the causes and effects of emotional reactions. In previous work, we presented the performanceand limitations of the model when using only causal information. In this paper, we discuss the addition of diagnostic informationon user affective valence detected via an EMG sensor, and present an evaluation of the resulting model.}, added-at = {2009-10-22T11:42:12.000+0200}, address = {Heidelberg}, author = {Conati, Cristina and Maclaren, Heather}, biburl = {https://www.bibsonomy.org/bibtex/2fe749b741b6674aa7efd333528b2edcb/tobold}, booktitle = {User Modeling, Adaptation, and Personalization}, editor = {Houben, Geert-Jan and McCalla, Gord and Pianesi, Fabio and Zancanaro, Massimo}, interhash = {57863def46bb74e8c6060f76819a6bfb}, intrahash = {fe749b741b6674aa7efd333528b2edcb}, keywords = {affect bayesian_networks emg sota_brainwave sota_fwf user_model}, pages = {4--15}, publisher = {Springer}, series = {LNCS Volume 5535}, timestamp = {2009-10-22T11:42:12.000+0200}, title = {Modeling User Affect from Causes and Effects}, url = {http://dx.doi.org/10.1007/978-3-642-02247-0_4}, year = 2009 }