Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem

TL;DR

This paper introduces an eye-tracking based evolutionary algorithm designed to reduce user fatigue during interactive optimization, demonstrated on the Interactive One-Max problem.

Contribution

It presents a novel integration of eye-tracking technology into evolutionary algorithms to enhance user comfort in interactive optimization tasks.

Findings

Reduced user fatigue observed during experiments

Effective application to the Interactive One-Max problem

Potential for improved user experience in interactive evolution

Abstract

In this paper, we describe a new algorithm that consists in combining an eye-tracker for minimizing the fatigue of a user during the evaluation process of Interactive Evolutionary Computation. The approach is then applied to the Interactive One-Max optimization problem.