Socializing the intelligent tutor: bringing empathy to computer tutors
Learning Issues for Intelligent Tutoring Systems
Affective computing
Andes: A Coached Problem Solving Environment for Physics
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Toward an Affect-Sensitive AutoTutor
IEEE Intelligent Systems
Gender-Specific Approaches to Developing Emotionally Intelligent Learning Companions
IEEE Intelligent Systems
The politeness effect: Pedagogical agents and learning outcomes
International Journal of Human-Computer Studies
Automatic detection of learner's affect from conversational cues
User Modeling and User-Adapted Interaction
Automatic Detection of Learner's Affect From Gross Body Language
Applied Artificial Intelligence
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
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Adapting to Student Uncertainty Improves Tutoring Dialogues
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Inducing positive emotional state in Intelligent Tutoring Systems
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
International Journal of Human-Computer Studies
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Oscar: an intelligent adaptive conversational agent tutoring system
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Predicting facial indicators of confusion with hidden Markov models
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
A conversational intelligent tutoring system to automatically predict learning styles
Computers & Education
Gaze tutor: A gaze-reactive intelligent tutoring system
International Journal of Human-Computer Studies
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Adapting to multiple affective states in spoken dialogue
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special issue on highlights of the decade in interactive intelligent systems
Adaptive tutoring in an intelligent conversational agent system
Transactions on Computational Collective Intelligence VIII
Virtual butler: what can we learn from adaptive user interfaces?
Your Virtual Butler
Inducing and Tracking Confusion with Contradictions during Complex Learning
International Journal of Artificial Intelligence in Education - Best of AIED 2011
Hi-index | 0.00 |
We have developed and evaluated an affect-sensitive version of AutoTutor, a dialogue based ITS that simulates human tutors. While the original AutoTutor is sensitive to learners' cognitive states, the affect-sensitive tutor is responsive to their affective states as well. This affective tutor automatically detects learners' boredom, confusion, and frustration by monitoring conversational cues, gross body language, and facial features. The sensed affective states guide the tutor's responses in a manner that helps students regulate their negative emotions. The tutor also synthesizes affect via the verbal content of its responses and the facial expressions and speech of an embodied pedagogical agent. An experiment comparing the affect-sensitive and non-affective tutors indicated that the affective tutor improved learning for low-domain knowledge students, particularly at deeper levels of comprehension. We conclude by discussing the conditions upon which affect-sensitivity is effective, and the conditions when it is not.