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Interactive Evolutionary Computation is well known as an effective method to create media contents suited to user's preference and objectives to use. As one of the methods, we have already presented a method that creates sign sounds with Interactive Differential Evolution (IDE). In the user's evaluation process, the user selects better one from two presented media contents. In this study, to fundamentally investigate the efficacy of the IDE method, three listening experiments were performed; experiment 1 as comparing experiment, experiment 2 as re-evaluation for subjects themselves, and experiment 3 as re-evaluation for other subjects. Target of the creation with the IDE method was warning sign sounds. Ten males participated as subjects in the experiments. In the result of the experiment 2, gradual increase of the subjective fitness value was observed. In the result of the experiment 3, increase of the subjective fitness value was not observed. These results suggested that the IDE method has a possibility to create sign sounds suited to user's preference.

Interactive Evolutionary Computation (IEC) is known as an efficient method to create media content suited to the individual user. To reduce user’s fatigue, which remains as a serious problem in IEC, extended IEC that uses physiological information as a fitness value have been proposed. As a new extended IEC, this study proposed extended IEC using Heart Rate Variability (HRV), which reflects autonomic nervous activity. A High Frequency (HF) component of HRV was used as the fitness value. Two listening experiments were conducted to determine the efficacy of the proposed method. In experiment 1, with a concrete system of the proposed method creating music chord progression, a change in the fitness value was observed. In experiment 2, representative created music chord progressions were evaluated subjectively. The change in the fitness value of the HF component showed no gradual increase. Subjective evaluation results showed that the lowest fitness value was observed in the 1st generation, and the fitness value in the 10th generation significantly increased from the 1st generation (P< 0.05). The result of the subjective evaluation showed the efficacy of the proposed method.

Interactive Evolutionary Computation (IEC) is well known as an effective method to create media contents suited to user's preference and objectives to use. As one of the methods, we have applied Differential Evolution, which is recent evolutionary algorithm to IEC. Concretely, we have already presented a method that creates sign sounds with Interactive Differential Evolution (IDE). This study aims to investigate fundamentally the efficacy of the IDE method in comparison with Interactive Genetic Algorithm (IGA). Two listening experiments were conducted: experiment 1 as a creation experiment with IDE and IGA, experiment 2 as a re-evaluation experiment. Target of the creation was warning sign sounds. In the experiment 2, representative five sign sounds created in both of IDE and IGA were evaluated. Sixteen males participated as subjects in the experiments. In the result of the experiment 1, IDE overcame IGA in subjective fitness value. Drastic shrink of searching space was observed in IGA, and larger time cost was observed in IDE. In the result of the experiment 2, higher fitness value in average was observed in IDE, however, the difference was not significant.