A Dialogue-based Software Architecture for Gamified Logopedic Discrimination Tests

In this work we describe the current stage of development of a software architecture designed to present logopedic tests to pre-school children in the form of gamified tasks. We interpret the problem of administering these tests as a dialogue model using probabilistic rules to generate customised tests on the basis of the child's performance. In the proposed architecture, the dialogue system controls a gaming setup composed of a virtual agent and a robotic companion that needs to be taught how to talk. This learning-by-teaching approach is used to camouflage a phonemes discrimination test that has the added value of being generated at runtime on the basis of the child's performance. We will describe the architectural components involved in the architecture and and we will present a probabilistic model describing a logopedic test. The selected stimuli are then administered by generating instructions for the virtual agents involved in the game.