Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem
Artificial Intelligence
2008-12-18 v1
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.
Keywords
Cite
@article{arxiv.0803.3192,
title = {Eye-Tracking Evolutionary Algorithm to minimize user's fatigue in IEC applied to Interactive One-Max problem},
author = {Denis Pallez and Philippe Collard and Thierry Baccino and Laurent Dumercy},
journal= {arXiv preprint arXiv:0803.3192},
year = {2008}
}