This study was conducted to know the visual preference and emotional change for the cut-flower decoration at public indoor space by using vertical, horizontal, and round type which are generally used. The investigation was done with 173 participants of National Institute of Horticultural and Herbal Science in 3 indoor areas designed with cut-flower decoration and 1 area of public place without it, respectively. Psychological evaluation was analyzed with the visual preference of cut flower shape and Semantic Differential method. In addition, the general awareness, loyalty and importance for cut-flower decoration were investigated. Statistical analysis was carried out with paired t-test, one-way ANOVA, cross correlation analysis, and analysis of frequency. As the result of evaluating the emotion of subjects with Semantic Differential, the feeling of comfort, nature and calm were significantly high in the public indoor space with cut-flower decoration. When we surveyed the feeling for the 3 type of cut-flower decoration with 14 pairs of emotional vocabulary, the participants felt ‘tranquil’ and ‘comfortable’ in the public indoor space with horizontal and round shaped decoration while they felt ‘strong’ and ‘anxious’ in the space with vertical shaped decoration. The preference of decoration forms was significantly high with round > horizontal > vertical type in order and vertical shape was highly preferred in twenties and sixties groups compared to other types significantly. In conclusion, we could recommend that round type decoration can be used in indoor place where comfort and calm are required and vertical form will be appropriate for challenging and vibrant twenties and depressed sixties with ageing. This customized cut-flower decoration will improve the environment quality of employment.

This paper presents the sound-based emotion estimation method and the growing HRI (human-robot interaction) system for a Mon-E robot. The method of emotion estimation uses the musical element based on the law of harmony and counterpoint. The emotion is estimated from sound using the information of musical elements which include chord, tempo, volume, harmonic and compass. In this paper, the estimated emotions display the standard 12 emotions including Eckman’s 6 emotions (anger, disgust, fear, happiness, sadness, surprise) and the opposite 6 emotions (calmness, love, confidence, unhappiness, gladness, comfortableness) of those. The growing HRI system analyzes sensing information, estimated emotion and service log in an edutainment robot. So, it commands the behavior of the robot. The growing HRI system consists of the emotion client and the emotion server. The emotion client estimates the emotion from sound. This client not only transmits the estimated emotion and sensing information to the emotion server but also delivers response coming from the emotion server to the main program of the robot. The emotion server not only updates the rule table of HRI using information transmitted from the emotion client and but also transmits the response of the HRI to the emotion client. The proposed system was applied to a Mon-E robot and can supply friendly HRI service to users.