Socializing the intelligent tutor: bringing empathy to computer tutors
Learning Issues for Intelligent Tutoring Systems
Improvising linguistic style: social and affective bases for agent personality
AGENTS '97 Proceedings of the first international conference on Autonomous agents
ITS Tools for Natural Language Dialogue: A Domain-Independent Parser and Planner
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
A 3-Tier Planning Architecture for Managing Tutorial Dialogue
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Constructing computer-based tutors that are socially sensitive: Politeness in educational software
International Journal of Human-Computer Studies
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
Diagnosing and acting on student affect: the tutor's perspective
User Modeling and User-Adapted Interaction
The relative impact of student affect on performance models in a spoken dialogue tutoring system
User Modeling and User-Adapted Interaction
How Rude Are You?: Evaluating Politeness and Affect in Interaction
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
The Politeness Effect in an Intelligent Foreign Language Tutoring System
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Positive and negative verbal feedback for Intelligent Tutoring Systems
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Can a Polite Intelligent Tutoring System Lead to Improved Learning Outside of the Lab?
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Knowledge Elicitation Methods for Affect Modelling in Education
International Journal of Artificial Intelligence in Education
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Modelling human tutors' socio-linguistic abilities computationally is necessary to underpin human-computer educational interactions with best pedagogic practices and to enhance the naturalness of such interactions. In this paper we present a computational model of tutorial feedback selection based on the context of the immediate situation for which the feedback is selected as well as on politeness considerations shown to be of importance to increasing pedagogical efficacy of computer assisted learning (Wang et al., 2008). The model is based on empirical studies with human tutors and on extensive linguistic analysis of human tutorial dialogues collected with the specific aim to inform the implementation of a natural language tutorial dialogue interface. The evaluation of the model, involving the comparison of its output with the linguistic responses produced by a human tutor, demonstrates the model's plausibility and highlights future directions for improving natural language human-computer interactions for educational purposes.