The purpose of this paper is to clarify the applied possibility and the meaning of the ethnography to “Understanding of the genba” in a human resource management consulting from the viewpoint of the kansei communication. As a result of consideration, the following conclusions were obtained. In“Understanding of the genba”biased to rational recognition in a past human resource management consulting, the possibility of causing the problem in the consensus building process with the client is high. The consultant puts his body on the genba spending fixed time to avoid it, and the experience of sharing the space of the client organization is indispensable. The obtained inclusive understanding through it, enables the emergent collaboration, and promotes the consensus building in the customizing process with the person in charge of the client organization.
Recently, worries about health and/or life stresses can cause serious issue for people. Various solutions have been proposed and tried to ease peoples' troubles. One way is through aromatherapy, which provides mental comfort for people under healthy conditions. Many therapists propose a suitable fragrance for a client by applying original therapy methods. However, they merely select an aroma using a convenience linkage such as “If A then B” and so on. Their methods often find it difficult to satisfy a client's needs. To resolve such issues, our objective is to model therapist's Kansei on a computer. Kansei looks like human experiences or sensibilities. In this study, we constructed a Kansei model for the aroma therapist using a neural network suitable for reproducing human sensibilities. The model is a three layered network consisting of twelve input and output nodes. The input is the point of a questionnaire classified into twelve alternatives. The output has twelve pairs of aromas selected beforehand by the counselor. As the result of their performance tests of the network after training, we experimentally confirmed that the output of the network almost matched the aromas chosen by the therapist.
This study evaluates a virtual Japanese drum system that delivers the drum sound through headphones along with haptic stimulation via vibrators on the abdomen. Two psychological experiments, which were conducted using subjective ratings and a functional brain imaging method, were performed to investigate the factors necessary to improve the perceived quality of drum sounds. Functional near-infrared spectroscopy was used as a functional brain imaging method to measure the hemodynamic response of the prefrontal cortex. In Experiment 1, participants rated the drum sound with haptic stimulation higher than that without haptic stimulation, irrespective of the quality of the headphones. In Experiment 2, the hemodynamic responses obtained with haptic stimulation were greater than those obtained without haptic stimulation. Furthermore, the effect of haptic stimulation when the participant beat the drum was greater than that when the participant tapped keys to produce the drum sound. The results of these experiments suggest that haptic stimulation improves the perceived quality of drum sounds and enhances the hemodynamic response of the prefrontal cortex to these sounds.
In this paper, three components of virtual KANSEI for robots; emotion identifier, emotion generator and action modulator, are integrated to construct a virtual KANSEI system. The emotion identifier detects robot partner's emotion from facial images. The emotion generator, also called the virtual KANSEI in a narrow sense (VKNS), generates time-series of robot emotion. The action modulator modifies robot motion according to the generated emotion. Those three components are integrated to form a virtual KANSEI system, also called the virtual KANSEI of the wide sense (VKWS). The system is implemented on a virtual robot and is evaluated from ‘naturalness’ point of view of the generated robot action.
The goal of this study is a finding about an attitude toward electric appliances apples to appliances design and usability. Therefore, in this study, a relationship between attitude to users' electrical appliances and cognitive elements required for the operation (Knowledge and Mental models) was investigated. For that purpose, two experiments were conducted. First, a relationship between the attitude and a knowledge structure toward electric appliances was grasped by a questionnaire in the 1st experiment. The knowledge structure was extracted within a Sentence Completion Test, and was grasped using Key Graph and Formal Concept Analysis. Next, a relationship between the attitude and a degree of mental model construction in an interface operation was grasped by a questionnaire and an experiment of GUI operation in the 2nd experiment. The degree of mental model construction was understood from the view of Functional Model and Structural Model. As a result of these experiments, it has been understood that the attitude relates to a depth of the knowledge, an originality of an opinion on electrical appliances and a construction of the Functional Model.
This paper is to discuss the notion of ‘proposal’ and the methodology of the environmental proposal, through the analysis of the practice of the map-making practice as environmental learning by the primary school children in the viewpoint of the Kansei philosophy. The unique proposals by the children are found out in the occasion of the comparison with the other different environmental maps. The various proposals by the children are the primitive expression to create a new view to the public environment which the adults could not to see.
Sugino Fashion College Costume Museum has exhibited an evening dress from Maison de Couture Worth. However, the display's continuation has been a matter of concern because of its deteriorated condition over the ages. In 2007 Sugino Fashion College launched a three-year project to copy the dress including the necessary investigation and study to accomplish this work. The project titled “An Investigation into the Origin of Modern Costumes: Copying of Worth's Dress” was applied for “Promotion of Upgraded Research at Private University” and was accepted. In March 2010 the project was completed and reported in a symposium. This paper focuses on the aesthetic experience in the dresses around the year of 1900 and compares with that in contemporary dresses. In the project, Worth's evening dress was copied using calico without changing the design as it fit the body of a woman in the present day. The copied dress was put on the mannequin and the difference in aesthetic experience was compared between the original dress and the copied one. By this comparison it was revealed that the design of Worth's evening dress can be perfectly applicable for the present-day figure.
Modern life overflows with the maturity of industrialized society. The ideal way of the consumer who makes [Yarikuri] is long lost. Now the theme of ecology is important. It is thought that we should review the lost custom, and improve the way we consume. Kimono, if it is seen from the point of “Let us not waste! [Mottainai] value”, has an excellent characteristic in recycling and reuse. The system that uses it well exists. Kimono returns to one cloth when the seams are removed. It was a merchant named Shikkai to have handled the system. The industrialization society put it at maturity then, I researched who Shikkai are in what situation and what role he plays. As a result, it is exposed to the crisis of the disappearance with the decline of the kimono culture though Shikkai has undergone a transfiguration with the transition of economy and industry of our country after the war. However, the idea and aspect of “Let us not waste! [Mottainai] value” run to the basic concept [Kurimawashi] of Shikkai, and peeling off and using the original value of kimono. In addition, it is thought that it is necessary to study the behavior patterns of the coordination of collecting knowledge over many topics and using it.
In this paper, we describe a new time-sharing based, color-assisted vision system for individuals with color impaired vision. Most such existing color-assisted vision systems apply a non-linear color conversion algorithm that may not relate to natural color. Here, we propose a new time-sharing based color-assisted vision system that may help even color-impaired people clearly perceive color differences. For consistent evaluation and repeatability of experiments, wearing simulated defective eyeglasses is assumed to be the same as a color-impaired person's vision. The effectiveness of the proposed method is evaluated by applying the SD method.
In a citizen opinion poll, the questionnaire list items are generally taken as binary list items. If the response is binary data, logistic regression is widely used for exploration of influential factors. Standard multiple logistic models are usually based on a linear combination of these exploratory variables. However, in a questionnaire study, the true model is rarely linear and the estimated models have poor predictive accuracy. To solve this problem, boosting methods can be used. In this paper, we propose a new boosting method for binary response cases, the logistic additive regression trees via penalized likelihood approach (EN-Bagging-MART), where an elastic net penalty is applied for the construction of regrarized logistic regression model. The performance of this method was evaluated by simulation. We have also illustrated the usefulness of the EN-Bagging-MART method in a study of satisfaction with city water.
The purpose of this study is to clarify the effects of the lightness of main objects (Lt), background (Lb), and the lightness contrasts (|Lt-Lb|/Lav), upon observers' KANSEI impression, and further to investigate their relation to the screen size. In this experiment, 17 pictures with different lightness contrasts were taken by the digital camera. 68 test images are prepared by converting each of the original pictures to four different sizes. A test image was presented on a display to the observer, and he/she was instructed to evaluate the impression of the image using an index with seven ranks ranging from 0 to 6 for 22 assessment words. Results showed that subjective rating value for psychophysical properties of image increases monotonously with the increase or decrease of the lightness contrast, respectively. On the other hand, the rating value for KANSEI impression of image showed a peak at moderate contrast. Effect of image size was significant for the larger the image size. Results of multiple classification analysis on all subjective rating values indicated that “KANSEI factor” is strongly related to the lightness of main object and the image size.
Recently the Rough Sets method of analysis in Kansei Engineering has been applied for the investigation of design plans for new products. It has been demonstrated that the method of extracting Decision classes for Rough Sets, in which evaluations contain contradictiug items, is very effective. Therefore, we suggested the new method of inferring Decision classes using the simple “Attribute Reduction in Variable Precision Rough Set Models” method proposed by Ziarko. For example, we identified six types of Decision classes using the squeezing method and compared the results of Rough Sets analysis with the results of the Decision classes. Moreover, we verified the effectiveness of these method through a case study of digital cameras.