A Fuzzy Control System for Inductive Video Games

TL;DR

This paper introduces a fuzzy control system for educational video games that dynamically adjusts difficulty and emotional content based on voice analysis, enhancing learning by fostering positive emotional states.

Contribution

It presents a novel inductive control method that modulates game difficulty and aesthetics by analyzing player emotions, improving engagement and learning outcomes.

Findings

Players reached positive emotional states faster with IC.

IC maintained players in the flow zone more effectively.

Participants showed improved learning engagement with IC.

Abstract

It has been shown that the emotional state of students has an important relationship with learning; for instance, engaged concentration is positively correlated with learning. This paper proposes the Inductive Control (IC) for educational games. Unlike conventional approaches that only modify the game level, the proposed technique also induces emotions in the player for supporting the learning process. This paper explores a fuzzy system that analyzes the players' performance and their emotional state for controlling the level and aesthetic content of an educational video game. The emotional state of the player is recognized through voice analysis. A total of 20 subjects played a video game designed to practice basic math skills; for each trial, a student plays two times in a row the same game but each time the game was controlled by one of the two approaches ---Dynamic Difficulty Adjustment (DDA) and IC, the playing order was assigned randomly. Results show that when the proposed approach is used the participants changed faster from Unpleasant--low to pleasant or high emotions, and reached softly and kept in the flow zone. These experiments demonstrate that the inductive control technique improves the learning effectiveness through detection and stimulation of positive emotions.