This paper describes two affect-sensitive variants of an existing intelligent tutoring system called AutoTutor. The new versions of AutoTutor detect learners' boredom, confusi...
Sidney K. D'Mello, Scotty D. Craig, Karl Fike, Art...
Modeling user affect is becoming increasingly important for intelligent interfaces and agents that aim to establish believable interactions with their users. However, evaluating th...
The objective of this research is the exploration how affective knowledge used in global controlling mechanisms for public information systems with lifelike presentation agents wil...
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
Culture and emotions have a profound impact on human behavior. Consequently, high-fidelity simulated interactive environments (e.g., trainers and computer games) that involve virt...
Vadim Bulitko, Steve Solomon, Jonathan Gratch, Mic...