• 한국실내디자인학회논문집
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• 제22권1호
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• pp.3-10
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• 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.

• 전자공학회논문지CI
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• 제47권1호
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• pp.73-79
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• 2010

감성 지능형 컴퓨팅은 컴퓨터가 학습과 적응을 통하여 인간의 감성을 처리할 수 있는 감성인지 능력을 갖는 것으로 보다 효율적인 인간과 컴퓨터의 상호 작용을 가능하게 한다. 감성 정보들 중 시각과 청각 정보인 음악 이미지는 짧은 시간에 형성되고 기억에 오랫동안 지속되기 때문에 성공적인 마케팅에 있어서 중요한 요인으로 꼽히고 있으며, 인간의 정서를 이해하고 해석하는데 있어서 매우 중요한 역할을 한다. 본 논문에서는 사용자의 감성키워드(짜증, 우울, 차분, 기쁨)를 고려하여 매칭된 음악과 이미지를 검색하는 시스템을 구축하였다. 제안된 시스템은 인간의 감성을 4단계 경우로 상황을 정의하며, 정규화 된 음악과 이미지를 검색하기 위해 음악 이미지 온톨로지와 감성 온톨로지를 사용하였으며, 이미지의 특징정보를 추출, 유사성을 측정하여 원하는 결과를 얻게 하도록 하였다. 또한, 이미지 감성인식정보를 분류하기위해 대응일치분석과 요인분석을 통한 성컬러와 감성어휘를 하나의 공간에 매칭하였다. 실험결과 제안된 시스템은 4가지 감성상태에 대해 82.4%의 매칭율를 가져올 수 있었다.

• 한국실내디자인학회논문집
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• 제25권2호
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• pp.41-49
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• 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.

• 산업공학
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• 제19권3호
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• pp.174-180
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• 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.

• 동아시아식생활학회지
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• 제20권5호
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• pp.812-822
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• 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.

• 한국게임학회 논문지
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• 제7권4호
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• pp.33-42
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• 2007

최근 고도로 발전하고 있는 기술의 발전으로 인하여 한층 더 수준 높은 디지털 영상의 표현이 가능하게 되었다. 가상현실에서 캐릭터는 사용자를 대신하거나 사용자와 직접적으로 상호작용하는 등 매우 중요한 역할을 한다. 캐릭터의 움직임은 캐릭터에게 생명력을 불어 넣어주고, 이를 통해 캐릭터는 각종 의사와 감성을 드러낸다. 캐릭터의 감성적 움직임을 분석하기 위하여, 본 연구에서는 laban이 제안한 움직임의 속성 요소인 시간, 공간, 흐름의 변화를 바탕으로 근원적인 움직임 재료를 만들고, 이를 Plutchik의 정서 동그라미 내에 배치함으로써 움직임 요소와 그에 따라 전달되는 감성의 상관관계를 측정하였다. 그 결과 움직임을 구성하는 9개의 동작요소들이 각각 특정한 정서를 일관되게 드러낸다는 것과 표현하는 정서의 강도에도 단계적으로 뚜렷한 영향력을 드러낸다는 것을 알 수 있었다

• 대한건축학회논문집:계획계
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• 제36권4호
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• pp.41-49
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• 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.

• 한국지능시스템학회논문지
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• 제13권6호
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• pp.710-715
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• 2003

본 논문에서는 사람의 식별과 감정을 인식하기 위한 새로운 방법을 제안한다. 제안된 방법은 색차 정보에 의한 형판의 위치 인식과 형판 벡터 추출에 기반 한다. 단일 색차 공간만을 이용할 경우 피부색 영역을 정확히 추출하기 힘들다. 이를 보완하기 위해서 여러 가지 색차 공간을 병행하여 피부색 영역을 추출하며, 이를 응용하여 각각의 형판을 추출하는 방법을 제안한다. 그리고, 사람의 식별과 감정 인식을 위해서 추출된 형판에 대한 각각의 특징 벡터를 신경회로망을 이용하여 학습하여 사용한다. 마지막으로, 제안된 방법은 실제 실험을 통하여 그 가능성을 보인다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2001년도 추계학술대회 논문집
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• pp.216-221
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• 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.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 1997년도 한국감성과학회 연차학술대회논문집
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• pp.146-151
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• 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.