Pedagogical Agents Trying on a Caring Mentor Role

Authors:
Konstantin Zakharov;Antonija Mitrovic;Lucy Johnston
Affiliations:
Intelligent Computer Tutoring Group;Intelligent Computer Tutoring Group;Department of Psychology, University of Canterbury, Christchurch, New Zealand, {konstantin.zakharov, tanja.mitrovic, lucy.johnston}@canterbury.ac.nz
Venue:
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Year:
2007

Citing 7
Cited 2

Deictic and emotive communication in animated pedagogical agents

Embodied conversational agents
Multimedia Learning

Multimedia Learning
Human-Computer Interaction

Human-Computer Interaction
Creating Interactive Virtual Humans: Some Assembly Required

IEEE Intelligent Systems
Unspoken rules of spoken interaction

Communications of the ACM - Human-computer etiquette
An Intelligent Tutoring System for Entity Relationship Modelling

International Journal of Artificial Intelligence in Education
Feedback Micro-engineering in EER-Tutor

Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology

Intentional affect: an alternative notion of affective interaction with a machine

Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
Fifteen years of constraint-based tutors: what we have achieved and where we are going

User Modeling and User-Adapted Interaction

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe the design and evaluation of an affective pedagogical agent persona for Intelligent Tutoring Systems. The goal of our research was to develop an agent embodying a persona of a caring mentor interested in the learner's progress. The agent's behaviour is guided by a set of rules that are triggered by the states of the session history. Four agents were integrated with EER-Tutor for a formative evaluation study. The mentor persona secured strong rapport with the users; the audible narration was seen as a strong feature of the agents.