This paper demonstrated a relation between tempo of ‘Healing’ music and listener's ‘Healing’ evaluation. Some previous studies suggested that tempo is one of the most important factors in music. In present study, at first, we investigated tempo of ‘Healing’ music from the market, and analyzed acoustical property of them. Next, we made a simple sound from a result of the analysis, and we used it in the listening experiment. The subjects answered subjective ‘Healing’ impression of the sound stimuli, which were constructed from simple sounds in various tempi. According to the confirmation, the peak of the evaluation value was found at about 60 BPM (Beats Per Minute). Distribution of subjective ‘Healing’ evaluation resembled distribution of tempo values of ‘Healing’ music. There must be a tempo that fitsKANSEIand heals us, and such tempo is possible to be originated from heart rate in rest. Results of this study are useful for composition and choice of ‘Healing’ music.

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We have researched onKanseimeasurements usingKanseiparameter method, it is a investigation method of a non-verbal pattern. We made classification of tunes usingKanseiparameter method. The result of the questionnaire was compared with each of raw parameters and by the factor analysis. As the result, Rock musics could be classified in two or three groups. It is shown that JPOPs could be classified with strong dependence with tempo of tunes. The tendency to be difference between cover musics was not resulted clearly. It was shown that it was effective so thatKanseiparameter method might measure Kansei conditions.

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In this paper, an automatic blog design system, which learns user's preferences and creates new blog designs interactively, is proposed. Because most bloggers are not professional on writing CSS, it is difficult to change the design. However, it is a big effort to find the design that matches blogger's preference. The system shows blog designs and let the user to select one, and increases the probability of appearance for the selected design elements. Parameters are defined to design all kinds of blogs, and over 500 images are prepared to create various designs. An analyzed data from 870 blog templates and a color coordinate theory are applied to support the system. As an experiment, 15 people created the blog design by using the system and by the other methods. The result indicates that the proposed system is superior to the conventional ones in respect of required time and the satisfaction level.

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A virtual space creating system using fuzzy inference with variable weight is proposed in this paper. Users input desired emotion and the degree to the system, and the system can output the 3-D virtual space reflecting their emotions. The system creates a wide variety of 3-D virtual spaces based on the parameters that are determined by genetic algorithms (GA) and fuzzy inference. The fuzzy rules change sequentially to reflect users individual preference according to the users' impression on the outputted 3-D virtual space. We introduce variable weight in fuzzy inference. In this method, the distance between the 3-D virtual spaces and users' emotions is calculated flexibly. It has been confirmed by our experiments that users' emotions can be reflected effectively. In addition, it has been also confirmed that the proposed system can create spaces with high quality and diversity.

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This paper proposes the generation system of Japanese riddles considering funniness in wordplays. The proposed system consists of three sections: the generation section of riddle candidates, the obtaining section of funniness, and the selection section of riddles. The first section has words databases and generates some riddle candidates. The second section considers some factors and applies fuzzy measures/integrals to the evaluation of generated riddle candidates. The final section chooses riddles according to their funniness, which is obtained by fuzzy measures/integrals model. This paper shows subjects experiments in order to confirm the validity of the proposed system.

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In this study, we examined the influence of time constraint on consumer decision making process. We imposed two kinds of choice tasks as to purchase of electric appliances (portable phones and digital audio players) on participants. Moreover, setting three kinds of time constraint (high, middle and low), we examined the decision process under each condition using an eye tracking equipment. The result suggested that we can predict the choice rate from the focus rate under middle time constraint.

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This paper discusses recognition of music characteristic with rough sets. We have already developed the system that understandst he characteristic of the music with Color-image-chart. However, our system couldn ot extract the negativei mage of music.W e proposet he characteristic recognitions ystem of the music that is able to extract all the images with rough sets. We do the questionnaires urvey to music major students. From the result of questionnaires urvey, it is shownt hat the proposedm ethod by the roughs et provids an useful aspectf or the characteristicr ecognition of music.

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When a person reads some well-known poem aloud himself, he often finds that the poem gives him a kind of great impression. If the impression is what is associated with beautifulness, the poem gives him happiness.
Our purpose is to inquire into factors related to poetic beautifulness. For that purpose, equations acquired from multiple regression analysis and rules acquired from graded rough set analysis are investigated.
As a result, through successive use of these two analyses, several important factors for poetic beautifulness are revealed, and moreover their combination effects are definitely shown.

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In this paper, we propose a robot behavior generation scheme that generates behaviors based on the senses of “curiosity”and “boredom”, to create a robot named SELF with which humans do not become bored. The scheme was developed using a simple but unique simulation environment. A red ball and a blue ball are displayed on the computer, and the human subject moves the red ball with an analog joystick. The behavior patterns under natural interhuman interaction are classified by having another human remotely controlling the blue ball from a networked PC. Next, a behavior generator is designed based on these behavior patterns, utilizing conditional probability. The autonomous learning capability of SELF is realized by updating this conditional probability. Our previous studies have revealed that interaction capability and animal-like speed are required for a companion robot. In addition, this paper shows how SELF can have a sense of curiosity and boredom as seen in animals, including humans, by using the developed scheme. Lastly, impressions of the robot behavior generated by the proposed scheme are examined using the simulationenvironment where the blue ball is controlled by the proposed scheme.

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In order to develop a touching map of metro network, blind people's basic characteristics of pattern recognition were determined. Eight kinds of sample maps were made for the research. Based on the data gathered through the comparative study of samples, the “easy to understand”map became clear. The factors that contribute to the map intelligibility were also verified through quantification method 1 and principal component analysis, and the similarities among samples and subjects are found. Further study on the characteristics of subjects was done based on age and sex. These results seem to be useful for developing metro maps for blind people.

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The objective of this paper is to describe a design method for instruction in computer programming. The most effective method is developing some real software to solve the familiar problem. Students can learn a lot of knowledge and skills of program comprehension and system design, developing real software as well as their own organization of the concepts at a time. We designed and practiced this method, utilizing Visual Basic programming languages making use of its easy designing for graphical user interface. Also the merits of visually program running, we can understand comparatively easy the code of program written by others. So we make inheritance learning possible with software and detailed documents archived. We have separately reported the effectiveness of this method from the reaction of the students in this class and many software output. In this paper we report the same effectiveness learning for “GUI Design & Usability”.

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This paper describes two experiments of listeners' recognition of musical grouping based on performance expression, using the beginning of Beethoven's eighth piano sonata, op. 13, “Pathetique”. We suppose that there are two kinds of listening schemata:(a) to prefer an accent to the beginning note of a group and (b) to prefer an arched change of loudness and tempo of a group. As a result, we succeeded in extracting three groups of listening type: Accent-respected group: those who have a strong (a) schema, Accent-phrasing-changed group: those who have a preference for (a) to (b), and Phrasing-respected group: those who prefer (b) to (a), with attention to inner voice. We also verified that (1) Accent-respected group listeners preferred rap music and rock music, and preferred to listen to music “at lively place”and “with friends”better than the Phrasing-respected group.(2) Phrasing-respected group listeners preferred Chopin and Bach and preferred to listen to music “alone”and “quietly”better than other groups.

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Several types of tap rhythms by plural number of subjects were measured and analyzed, in terms of synchronization to determine at what timing multiple subjects were synchronized or not during an ensemble. Furthermore, EEG data was also measured and analyzed in order to investigate what phenomena were evoked from rhythmic tapping. As a result, it was found from the former that there were transient synchronizations in the rhythm patterns which were easy to play. And from the latter, (1) EEG peak at low frequency, which was roughly equal to the frequency of the tapping, was found;(2) the peak frequency of alpha waves was shifted according to the difficulty of the tapping. Consequently, these results suggested that the asynchronization of timing among subjects was caused not by simple random errors, but by some biological mechanism.

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As robotics begin to have a more intimate relationship with people' s lives, in contrast to the accurate and quick task management that has been demanded of manufacturing robots, the skills of adaptation to human behavior and to the surrounding environment have become key technologies. Based on the background described above, this study focuses on the formation and expression of emotion and proposes a method of acquiring in an autonomous fashion the behavior of appropriately expressing emotions that are formed via learning in unknown environments. This paper will execute the design of a system which considers the relationship between emotion, neuromodulators, and learning system meta parameters in order to make the proposed method a reality. Furthermore, we also report the results of an experiment by plural agent's computer simulation and Kansei evaluation to confirm the efficiency of proposed method.

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In recent years, digital audio players have become quite widely used, thus the demand for function of generating playlists has increased. Playlist is the order we play several musical composition. And Traveling Salesman Problem (TSP) is optimization problem how we obtain the minimum path for traveling around all the cities and back to the first. In this paper, we focus on the order decision process of playlists. We substitute each musical tune with the city in TSP and the difference of impression between tunes with the distance between cities in TSP, then we show realizable functions and their advantages if we adopt obtained solution as playlist. As the result, by changing the conditions of distances between cities and so on we obtained the following playlists:(1) minimizing the difference of impression between neighboring tunes (2) maximizing the difference of impression between neighboring tunes (3) not thought to be repeated in looping playing mode (4) order of play gives us natural feeling to hear (5) for sharing in hearing by several people.

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With the development of recent science and technology, our daily life has been filled with high-performance and highquality products. In this background, we are requiring new technologies with our Kansei or sense. Various researches are tried to reflect human sense in engineering. One of them, we notice the human light adaptation, and construct the model for subjective brightness with time varying. This paper presents a human light adaptation model using a dynamic neural network. The input of this model is the light intensity steps which are exposed to examinee's eyes. The output is human subjective brightness with time varying. As the result of analyzing the synaptic weights of the neurons after training, we confirmed that the model obtained some functions which agree well with the human optical nerve system.

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This study aims to construct a consistent system from a position sensing of face to the facial expression recognition for the realization of comfortable man-machine communication. In this article, we examine the robust facial expression recognition method which is using the feature points. The feature points are defined as its can be used on the face images which sizes are different by the distance from the camera. The facial expression symmetry has the possibility to reduce the feature points which is used for the facial expression recognition. And it enables the expression recognition without limiting the direction of face.

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In the field of marketing, companies often carry out a questionnaire to consumers to grasp their impressions of products.
Analyzing the evaluation data obtained from consumers enables us to grasp the tendency of the market and to find problems and/or to make hypotheses that are useful for the development of products. Semantic Differential (SD) method is one of the most useful methods to quantify human-impressions to the objects. The purpose of this study is to develop a method based on an individuality.
This paper proposes a clustering method based on Orthogonal Procrustes Analysis (OPA). The proposed method can cluster subjects among whom the distributed structures of the SD evaluation data are similar. The analysis by this method leads to discovery of majority/minority groups and/or groups which have unique features. In addition, it enables us to analyze the similarity/difference of objects and impression words among clusters and/or subjects by comparing the cluster centers and/or transformation matrices.
This paper applies the proposed method to an actual SD evaluation data. It shows that this method can investigate the similar relationships among the objects in each group and compare the similarity/difference of impression words used for the evaluation of objects among subjects in the same cluster.

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The purpose of this study was to explore the appropriateness of the communication media for apology as a function of the feeling of guilt, the position difference, and the viewpoint of a sender and a receiver. Thirty three office workersparticipated in the two parts of the experiment:(a) to rate the feeling of guilt for the assumed situations and appropriateness of each communication media from a sender's perspective, and (b) to rate the appropriateness of each media from a receiver's perspective. The results showed that face to face communication was the most appropriate and that the least was leaving message to some other person in the apology situation. Other results were also discussed from the point of pros and cons of each media and asymmetry of communication process.

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The purpose of this study is to clarify the relationship between a diversity of smiles and facial impressions. The diversity of smiling face representation is expressed based on average images of 10 university students' smiles. 52 samples are made from the average images that changed the strength, the interval of both eyes, the interval between eyes and a mouth and the shape of mouth. 30 respondents have evaluated the impression to samples by SD method, and various smiles were shown in the impression plane by principal component analysis. As a result, the vertical axis of the impression plane to smiles was assumed to be a preference, and the horizontal axis was assumed to be energy. It was found that the interval between eyes and a mouth that was the feature element of an individual face influences the preference. The energy degree of smiles had a connection with to the shape of mouth. The preference of the intensity change of smiles was higher than the caricature smiles.

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