• Korean Institute of Interior Design Journal
• /
• v.22 no.1
• /
• pp.3-10
• /
• 2013

This study, with a space of cafeteria for the object, selected adjective and space for space evaluation based on existing dissertations and experts' survey so as to analyze the perception features by adjective into perception types. At space evaluation, the purpose of visiting the cafeteria was setup for test. Analysis of what perceptual information on the space was acquired enables to set up any features at a space and the direction of designing. The approach through the evaluation of space perception assigning this kind of observing intentionality can be applied to emotion technique which connects a designer to customers. From this study, the following conclusion has been reached. Frist, the difference at perception type by gender is formality, which is higher with women than men. When it is considered that other types are identical, it can be seen that the formality is the perception type to decide the selection of gender and has the highest average value among all the three types. On the whole, men have the tendency for regarding spaciality as the most important, while women have that for looking upon formality as such. Second, to the question what element they would see first when visiting for conversation, men and women answered respectively that they would see partition (35.6%) and chairs (38.0%). Men had a very strong propensity for the element of area section(partition) supporting the activity of purpose and women regarded the element of behavior support(chair) carrying out the activity of purpose as important. Third, the analysis of deviance shown at the formality of perception type showed that men had dispersive selection at the process of selecting all adjectives and their features at the process of space perception were higher than spaciality and fancine.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.1
• /
• pp.73-79
• /
• 2010

Emotion intelligence computing is able to processing of human emotion through it's studying and adaptation. Also, Be able more efficient to interaction of human and computer. As sight and hearing, music & image is constitute of short time and continue for long. Cause to success marketing, understand-translate of humanity emotion. In this paper, Be design of check system that matched music and image by user emotion keyword(irritability, gloom, calmness, joy). Suggested system is definition by 4 stage situations. Then, Using music & image and emotion ontology to retrieval normalized music & image. Also, A sampling of image peculiarity information and similarity measurement is able to get wanted result. At the same time, Matched on one space through pared correspondence analysis and factor analysis for classify image emotion recognition information. Experimentation findings, Suggest system was show 82.4% matching rate about 4 stage emotion condition.

• Korean Institute of Interior Design Journal
• /
• v.25 no.2
• /
• pp.41-49
• /
• 2016

The purpose of this study is to analyze the change and to compare to the difference of 'selective elements' and 'space-memory' focusing on the theory, 'selective attention' through the survey results. In this study, In this study, the lighting is considered a important factor in the change of 'selective elements'. this survey is to find the selective elements of participants and to measure the spatial sensitivity of respondents through 'self- test'. The analysis in this study is conducted by descriptive statistics, t-test and one way ANOVA by SPSS program 22. The results of this study are as following; Firstly, 'attention-element' could be classified with 4 types, 'shape', 'material', 'contrast' and 'combination'. 'shape' could divide into 'structure' and' furniture and object'. In case of 'material', it could section with 'pattern' and 'color'. Secondly, through the results of study, 'attention-element' is different each space during the day in detail. But we could know that 'shape' is the important element of the 'attention-elements' during the day through comparison of this result. That means users consider this as a important factor when they evaluate the space. Therefore, it is effective way designers to consider 'shape' as the first element when they want to conduct the special sensitivity of users in the space through planning. On the other hand, what selective elements of users are different by the lighting situation should be acknowledged by designers. And they should think the kinds of selective elements are more various when lighting turns on than turns off.. Thirdly, through the results such as the meaningful difference of space-memory of users according to the change of 'attention-elements', designers should judge about which kind of feeling of users to the space do you want lead in the design process. For the effective feedback between spaces and users to induce the same emotion of users, designers need to consider the unified design and the individual design both. Also, we will regard the differences in the users' emotion to the space according to the lighting situation when we design the space.

• IE interfaces
• /
• v.19 no.3
• /
• pp.174-180
• /
• 2006

This paper deals with the robot system of recognizing human's expression from a detected human's face and then showing human's emotion. A face detection method is as follows. First, change RGB color space to CIElab color space. Second, extract skin candidate territory. Third, detect a face through facial geometrical interrelation by face filter. Then, the position of eyes, a nose and a mouth which are used as the preliminary data of expression, he uses eyebrows, eyes and a mouth. In this paper, the change of eyebrows and are sent to a robot through serial communication. Then the robot operates a motor that is installed and shows human's expression. Experimental results on 10 Persons show 78.15% accuracy.

• Journal of the East Asian Society of Dietary Life
• /
• v.20 no.5
• /
• pp.812-822
• /
• 2010

This study explored choice attributes in specially coffee shops and examined the relations between choice attributes and positive emotions customers felt in specially coffee shops. The study also attempted to find differences in choice attributes and positive emotions according to general characteristics of customers and coffee-drinking behavior. Measured items were derived from preliminary interviews and a literature review. Questionnaires were distributed to customers in Seoul who had visited a specially coffee shop in the last 3 months. The derived factors of choice attributes were 'taste of coffee and atmosphere', 'brand', 'price benefit', 'pleasant space', and 'coffee itself. Among those, the two factors 'taste of coffee and atmosphere', and 'brand' had a statistically significant influence on positive emotions of customers. This implies that specially coffee shop customers have primarily emotional rather than utilitarian motivations. Therefore, to better satisfy customers' desires, more effort is needed to improve the physical environment in coffee shops. Female and younger customers showed higher perception of price benefits than others did. The perception of price benefits and pleasant space mainly varied by the location of coffee-drinking and frequency of visiting specially coffee shops. Further differences in positive emotion according to general characteristics and behaviors of having coffee also discussed.

• Journal of Korea Game Society
• /
• v.7 no.4
• /
• pp.33-42
• /
• 2007

Advanced technologies and techniques make it possible to express digital animation with higher quality. Characters in the virtual animation space are playing an important role in emphasizing the human audiences or interacting directly with them. The movement of characters gives them vital power, and shows their intentions and emotions. To analyze the emotion of character movements, the study develops basic movement sources based on Laban's property elements of movement such as time, space, and flow, and tries to find the relationship between their movements and the emotions they arouse by positioning them on Plutchik's emotional circle. We find that each element of 9 movements represent its own emotion consistently, and has influence on the intensity of emotions clearly.

• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.36 no.4
• /
• pp.41-49
• /
• 2020

The purpose of this study was to investigate the use of the Deep Neural Networks(DNN) model to classify user's emotions, in particular Electroencephalography(EEG) toward Virtual-Reality(VR) based 3D design alternatives. Four different types of VR Space were constructed to measure a user's emotion and EEG was measured for each stimulus. In addition to the quantitative evaluation based on EEG data, a questionnaire was conducted to qualitatively check whether there is a difference between VR stimuli. As a result, there is a significant difference between plan types according to the normalized ranking method. Therefore, the value of the subjective questionnaire was used as labeling data and collected EEG data was used for a feature value in the DNN model. Google TensorFlow was used to build and train the model. The accuracy of the developed model was 98.9%, which is higher than in previous studies. This indicates that there is a possibility of VR and Fast Fourier Transform(FFT) processing would affect the accuracy of the model, which means that it is possible to classify a user's emotions toward VR based 3D design alternatives by measuring the EEG with this model.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.6
• /
• pp.710-715
• /
• 2003

In this paper, we propose the new emotion recognition method for intelligently recognizing the human's emotion using the template vector and neural network. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). The proposed method is based on the template vector extraction and the template location recognition by using the color difference. It is not easy to extract the skin color area correctly using the single color space. To solve this problem, we propose the extraction method using the various color spaces and using the each template vectors. And then we apply the back-propagation algorithm by using the template vectors among the feature points). Finally, we show the practical application possibility of the proposed method.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2001.11a
• /
• pp.216-221
• /
• 2001

바닥급기 공조시스템은 재실자에게 신선외기를 효과적으로 공급하고 온열환경을 효과적으로 제공하기 위한 새로운 수단으로 시도되고 있다. 그러나 급기구가 인체에 너무 가까이 위치할 경우, 부분적인 열구배에 의한 불쾌감을 유발할 수 있다. 따라서 본 연구에서는 바닥급기 공조시스템이 설치된 공간내의 온도 및 기류분포 등의 온열환경을 측정하였고 적외선 카메라를 이용하여 급기구에 의한 인체 표면 온도를 측정하여 열적 쾌적성에 미치는 영향에 관하여 고찰하였다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 1997.11a
• /
• pp.146-151
• /
• 1997

Recntly many devics print electronic images in a variety of ways. But the reproduced color, gamut mappung method and expanded nonlinear quantization are proposed. The color gamut mapping uses saturation mapping of HSI color space. Dithering operation for printing uses expanded nonlinear quantization which considers overlapping phenomena of neighboring printing dots. So the printed image is similar to the image of monitor and can produce high quality image in the low bit color devices.