An efficiency of interactive differential evolution for optimization of warning sound with reflecting individual preference
Makoto Fukumoto · IEEJ Transactions on Electrical and Electronic Engineering · 2015
Interactive evolutionary computation (IEC) is a method for creating media contents suited to the user's preference. Efficiency of previous IEC studies was generally investigated from the view point of optimization. However, few previous studies paid attention to their efficiency as a reflection of individual preferences. As an application of IEC, we already proposed a method that creates sign sounds using paired comparison‐based interactive differential evolution (IDE). This study investigates the efficiency of the IDE for reflecting individual difference on the created sound through two experiments. In Experiment 1, the subjects searched better warning sounds with the IDE. The result of Experiment 1 showed gradual convergence of DE's vectors. In Experiment 2, the subjects evaluated four sign sounds created in Experiment 1. Two of them were created by the subject, and the other two were created by another subject. The result of Experiment 2 showed significant increase in the subjective fitness value for sounds created by the subjects themselves. Furthermore, significant difference between sounds by one subject and another was observed in the final generation. These results suggest that IDE is effective in creating warning sounds suited to each user reflecting individual difference. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.