Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem

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 OneMax optimization problem. Categories and Subject Descriptors D.3.3 [Programming Languages]: Language Contructs and – abstract data types, polymorphism, control structures. I.2.10 [Artificial Intelligence]: Vision and Scene Understanding – Perceptual reasoning J.4 [Social And Behavioral Sciences]: Psychology General Terms Algorithms, Measurement, Experimentation, Human Factors. Keywords Interactive evolutionary computation, user fatigue minimization, eye-tracking system, interactive one-max problem.

• Type: Conference
• Year: 2007
• Where: GECCO
• Authors: Denis Pallez, Philippe Collard, Thierry Baccino, Laurent Dumercy
• Keywords: GECCO 2007, Interactive Evolutionary Computation, Interactive OneMax Optimization, User Fatigue Minimization