Artificial Persuasion in Pedagogical Games

TL;DR

This paper introduces an improved Persuasive Teachable Agent model that integrates persuasion, teachability, and practicability reasoning, enhancing reusability and bridging the gap between theory and implementation in pedagogical games.

Contribution

It presents a comprehensive, goal-oriented PTA model combining multiple reasoning processes and a generalized quantitative framework for better reusability and practical deployment.

Findings

Enhanced PTA model integrating persuasion, teachability, and practicability.

A generalized quantitative model improves reusability.

New system architecture bridges theory and practical implementation.

Abstract

A Persuasive Teachable Agent (PTA) is a special type of Teachable Agent which incorporates a persuasion theory in order to provide persuasive and more personalized feedback to the student. By employing the persuasion techniques, the PTA seeks to maintain the student in a high motivation and high ability state in which he or she has higher cognitive ability and his or her changes in attitudes are more persistent. However, the existing model of the PTA still has a few limitations. Firstly, the existing PTA model focuses on modelling the PTA's ability to persuade, while does not model its ability to be taught by the student and to practice the knowledge it has learnt. Secondly, the quantitative model for computational processes in the PTA has low reusability. Thirdly, there is still a gap between theoretical models and practical implementation of the PTA. To address these three limitations, this book proposes an improved agent model which follows a goal-oriented approach and models the PTA in its totality by integrating the Persuasion Reasoning of the PTA with the Teachability Reasoning and the Practicability Reasoning. The project also proposes a more abstract and generalized quantitative model for the computations in the PTA. With higher level of abstraction, the reusability of the quantitative model is also improved. New system architecture is introduced to bridge the gap between theoretical models and implementation of the PTA.