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Probabilistic reasoning in intelligent systems: networks of plausible inference
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Interpreting symptoms of cognitive load in speech input
UM '99 Proceedings of the seventh international conference on User modeling
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Exploiting Qualitative Knowledge in the Learning of Conditional Probabilities of Bayesian Networks
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Multimodal interactive maps: designing for human performance
Human-Computer Interaction
Leveraging data about users in general in the learning of individual user models
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Learning Bayesian nets that perform well
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
The Many Roles of Speaker Classification in Speaker Verification and Identification
Speaker Classification I
Cognitive Load Measurement from User's Linguistic Speech Features for Adaptive Interaction Design
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Investigation of spectral centroid features for cognitive load classification
Speech Communication
Formant frequencies under cognitive load: effects and classification
EURASIP Journal on Advances in Signal Processing - Special issue on emotion and mental state recognition from speech
Motion-Based adaptation of information services for mobile users
UM'05 Proceedings of the 10th international conference on User Modeling
Teaching athletes cognitive skills: detecting cognitive load in speech input
BCS '10 Proceedings of the 24th BCS Interaction Specialist Group Conference
Multimodal behavior and interaction as indicators of cognitive load
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
Neural and speech indicators of cognitive load for sudoku game interfaces
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
International Journal of Mobile Human Computer Interaction
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In an experimental environment, we simulated the situation of a user who gives speech input to a system while walking through an airport. The time pressure on the subjects and the requirement to navigate while speaking were manipulated orthogonally. Each of the 32 subjects generated 80 utterances, which were coded semi-automatically with respect to a wide range of features, such as filled pauses. The experiment yielded new results concerning the effects of time pressure and cognitive load on speech. To see whether a system can automatically identify these conditions on the basis of speech input, we had this task performed for each subject by a Bayesian network that had been learned on the basis of the experimental data for the other subjects. The results shed light on the conditions that determine the accuracy of such recognition.