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

Eye-Tracking Evolutionary Algorithm to minimize user's 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 One-Max optimization problem.

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Veröffentlicht in:arXiv.org 2008-03
Hauptverfasser: Pallez, Denis, Collard, Philippe, Baccino, Thierry, Dumercy, Laurent
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Artificial Intelligence
Evolutionary algorithms
Evolutionary computation
Eye movements
Fatigue
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Beschreibung
Zusammenfassung: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.
ISSN:2331-8422
DOI:10.48550/arxiv.0803.3192