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Does a Good Night’s Sleep Increase Peer Intimacy Among Adolescents?
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신지은 Ji-eun Shin , 김정기 Jung Ki Kim |
KJSES 21(1) 129-142, 2018 DOI : 10.14695/KJSOS.2018.21.1.129 |
ABSTRACT
We spend about one-third of our life sleeping. Although the influence of sleep on various cognitive and affective functioning is recognized, relatively less is known about its consequences on interpersonal relationships. The present study examines whether sleep contributes to adolescent’s peer intimacy; specifically, given the role of sleep in memory consolidation, it was assumed that a good sleep will enhance social relationships by positively refurbishing memories of social episodes. As predicted, young teenagers' sleep quality predicted increased peer intimacy, partly through the positive memory of social events, in a sample of middle school (Study 1) as well as high school participants (Study 2). To investigate the causal link, in Study 2, memory recollections were repeatedly measured for a week. Sleep quality during the week predicted how social, but not non-social episodes were positively remembered. The function and importance of sleep quality are discussed in the context of interpersonal relationships.
keyword : Adolescent, Peer Intimacy, Positivity, Social Memory, Sleep Quality, 청소년, 또래 친밀감, 긍정성, 수면의 질, 사회적 기억
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Effects of Colorimetric Properties and Color Sensibility Factors on Color Preferences for Green Yellow Natural Dyed Silk Fabrics: Focused on Combination Dyeing with Indigo and Japanese Pagoda Tree
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신주동 Judong Shin , 김여원 Yeowon Kim , 최종명 Jongmyoung Choi |
KJSES 21(1) 143-154, 2018 DOI : 10.14695/KJSOS.2018.21.1.143 |
ABSTRACT
This study was performed in order to suggest useful data for color planning of eco-friendly and sensible fashion products. Silk fabrics were dyed in combination with natural indigo and Japanese pagoda tree and were treated with four kinds of mordants after combination dyeing. Then, their colorimetric properties were evaluated. From these composite-dyed silk fabrics, color sensibilities and color preferences of green yellow (GY) color were evaluated among the female university students, and thus, the influences of colorimetric properties and color sensibilities on color preferences were analyzed. When the silk fabrics were dyed in the combination of natural indigo and Japanese pagoda tree and were treated without mordants, they turned green color when indigo 10 g/L was used, and blue-green when indigo 20 g/L was added. And when they were dyed in combination of natural indigo and Japanese pagoda tree and were treated with four kind of mordants after combination dyeing, they turned GY color in almost all cases. The color sensibilities of the GY silk fabrics with the combination dyeing of indigo and Japanese pagoda tree, were classified into three factors: pleasantness, gracefulness, and comfort. Color sensibility factors showed significant differences according to the concentration of indigo and the kinds of mordants. There were almost significant relationships between colorimetric properties and color sensibilities factors of compositely dyed GY silk fabrics. The color preferences of the GY fabrics, which were dyed in the combination of using natural indigo and Japanese pagoda tree and four kinds of mordants, were found to be predicted by the color sensibility in a regression model.
keyword : Combination Dyeing, Green Yellow, Colorimetric Properties, Color Sensibility Factors, Preferences, 복합염색, 연두색, 색채특성. 색채감성요인, 선호도
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The Visual Temperature of Textile
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오지연 Jiyeon Oh , 박영경 Yungkyung Park |
KJSES 21(1) 155-164, 2018 DOI : 10.14695/KJSOS.2018.21.1.155 |
ABSTRACT
The temperature is a sense that can be felt by touch and sight. However, the concept of the temperature sensation is rarely used together with the concept of visual sensation and tactile sensation. In this study, the sensation of the temperature sensed through tactile and visual sense was investigated by the visual temperature depending on color and material characteristics. The textile was selected as a sample that could include color and material characteristics. The textile sample was composed of each 15-16 kinds of Yellow, Red, Blue, and Green of total 90 samples. The analytical method was to analyze first, the warm-cool of the colors of Yellow, Red, Blue, Green, and then to the visual temperature according to visual classification and tactile classification. And we investigated the correlation of the visual temperature depending on weight, thickness, and unevenness. As a result, the number of textiles felt by Cool and Warm differed according to the warm-cool of the colors feeling in the same textile. However, the visual temperature was different to each classification of textile. In particular, it was noticeable in thin, see-through and matte textiles. In relation to weight, thickness, unevenness and the visual temperature, the textile classification related to the weight is a classification of a hard, matte textile, and the textile classification related to the thickness is a thin, see-through textile.
keyword : Color, Material Characteristics, Textile, Visual Temperature (Warm-Cool), 색채, 재질, 원단, 시각적 온도감
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The Effect of Field-Based Participation Design on Agricultural Direct Sales Facilities: Process Change of Awareness on Participant
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서애은 Aeeun Seo , 홍정표 Jungpyo Hong , 하은영 Eunyoung Ha , 채혜성 Hyesung Chae |
KJSES 21(1) 165-176, 2018 DOI : 10.14695/KJSOS.2018.21.1.165 |
ABSTRACT
A demand for user’s participation in the designing process, which is called the participation design, is increasing with social change. Practically, however, there is lack of researches on the improvement of the problem in actual design development and participation design effect. In order to understand the field-based participation design effect in view of user’s change of awareness on participation design, this study carried out a survey on the change of awareness through a design workshop in which all stakeholders have participated on the subject of agricultural direct sales facilities as a part of participation design programs. Many references were reviewed first to understand the participation design principles and their current research trend. Next, the questionnaire was developed using an effectiveness verification model for an effective analysis. A design workshop as one of the participation design programs was organized and applied for the field response. In order to analyze the effect, the survey on participants’ change of awareness was carried out before and after the program. The survey questionnaires were about motivation, knowledge, recognition, function, and participation and asked the design study graduates. The participation design effect was supplemented by additional open questions. As a consequence, the participants in the participation design program showed the noticeable effect in knowledge and function about the agricultural direct sales facilities. It was found that they were also highly satisfied with the participation design result and they recognized an importance of collaboration. This study also showed that a sufficient time schedule considering agricultural village life should be given for a smooth operation of the program and also a working environment is necessary for designing work.
keyword : Agricultural Direct Sales Facilities, Effect, Participant, Participation Design, Participation Program, 농특산물 직거래판매시설, 참여자, 참여디자인, 참여프로그램, 효과
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Classification of Negative Emotions based on Arousal Score and Physiological Signals using Neural Network
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김아영 Ahyoung Kim , 장은혜 Eun-hye Jang , 손진훈 Jin-hun Sohn |
KJSES 21(1) 177-186, 2018 DOI : 10.14695/KJSOS.2018.21.1.177 |
ABSTRACT
The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age 20.1 ± 4.0, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.
keyword : Emotion Classification, Negative Emotion, Neural Network, Arousal, Physiological Signals, 감성 분류, 부정 감성, 신경망, 각성도, 생체 신호
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