Instance-Based Learning Algorithms
Machine Learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Participating in explanatory dialogues: interpreting and responding to questions in context
Participating in explanatory dialogues: interpreting and responding to questions in context
Note on free lunches and cross-validation
Neural Computation
Affective computing
Emotion and personality in a conversational agent
Embodied conversational agents
Designing Sociable Robots
User Modeling and User-Adapted Interaction
IEEE Intelligent Systems
The Architecture of Why2-Atlas: A Coach for Qualitative Physics Essay Writing
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Informing the Detection of the Students' Motivational State: An Empirical Study
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Human Problem Solving
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Predicting student emotions in computer-human tutoring dialogues
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
The Politeness Effect: Pedagogical Agents and Learning Gains
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
ITSPOKE: an intelligent tutoring spoken dialogue system
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Data-Driven refinement of a probabilistic model of user affect
UM'05 Proceedings of the 10th international conference on User Modeling
AutoTutor: an intelligent tutoring system with mixed-initiative dialogue
IEEE Transactions on Education
AutoTutor: A simulation of a human tutor
Cognitive Systems Research
Toward an Affect-Sensitive AutoTutor
IEEE Intelligent Systems
Eliciting, capturing and tagging spontaneous facialaffect in autism spectrum disorder
Proceedings of the 9th international conference on Multimodal interfaces
Modeling parallel and reactive empathy in virtual agents: an inductive approach
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Self Versus Teacher Judgments of Learner Emotions During a Tutoring Session with AutoTutor
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Automatic Detection of Learner's Affect From Gross Body Language
Applied Artificial Intelligence
A Look at the Roles of Look & Roles in Embodied Pedagogical Agents - A User Preference Perspective
International Journal of Artificial Intelligence in Education
Mind and Body: Dialogue and Posture for Affect Detection in Learning Environments
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Towards Predictive Modelling of Student Affect from Web-Based Interactions
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Emotions and Learning with AutoTutor
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Empirically building and evaluating a probabilistic model of user affect
User Modeling and User-Adapted Interaction
Responding to Learners' Cognitive-Affective States with Supportive and Shakeup Dialogues
Proceedings of the 13th International Conference on Human-Computer Interaction. Part III: Ubiquitous and Intelligent Interaction
Multimethod assessment of affective experience and expression during deep learning
International Journal of Learning Technology
Effective Tutoring with Affective Embodied Conversational Agents
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
User Modeling and User-Adapted Interaction
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Layered evaluation of interactive adaptive systems: framework and formative methods
User Modeling and User-Adapted Interaction
An analysis of students' gaming behaviors in an intelligent tutoring system: predictors and impacts
User Modeling and User-Adapted Interaction
Towards Systems That Care: A Conceptual Framework based on Motivation, Metacognition and Affect
International Journal of Artificial Intelligence in Education
An affect-enriched dialogue act classification model for task-oriented dialogue
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Affect detection from human-computer dialogue with an intelligent tutoring system
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
“Yes!”: using tutor and sensor data to predict moments of delight during instructional activities
UMAP'10 Proceedings of the 18th international conference on User Modeling, Adaptation, and Personalization
Monitoring affect states during effortful problem solving activities
International Journal of Artificial Intelligence in Education
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Tractable POMDP representations for intelligent tutoring systems
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on agent communication, trust in multiagent systems, intelligent tutoring and coaching systems
Beyond the basic emotions: what should affective computing compute?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Inducing and Tracking Confusion with Contradictions during Complex Learning
International Journal of Artificial Intelligence in Education - Best of AIED 2011
Knowledge Elicitation Methods for Affect Modelling in Education
International Journal of Artificial Intelligence in Education
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This paper investigates how frequent conversation patterns from a mixed-initiative dialogue with an intelligent tutoring system, AutoTutor, can significantly predict users' affective states (e.g. confusion, eureka, frustration). This study adopted an emote-aloud procedure in which participants were recorded as they verbalized their affective states while interacting with AutoTutor. The tutor-tutee interaction was coded on scales of conversational directness (the amount of information provided by the tutor to the learner, with a theoretical ordering of assertion prompt for particular information hint), feedback (positive, neutral, negative), and content coverage scores for each student contribution obtained from the tutor's log files. Correlation and regression analyses confirmed the hypothesis that dialogue features could significantly predict the affective states of confusion, eureka, and frustration. Standard classification techniques were used to assess the reliability of the automatic detection of learners' affect from the conversation features. We discuss the prospects of extending AutoTutor into an affect-sensing intelligent tutoring system.