• Title/Summary/Keyword: sensibility analysis

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Relationship between the Ancient Silk Road and High-technology Machine in Producing Kyung-Geum (고대 실크로드와 고조선 경금 제직기의 연관성 고찰)

  • Kim, Ji-Su;Na, Young-Joo
    • Science of Emotion and Sensibility
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    • v.23 no.4
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    • pp.117-142
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    • 2020
  • This study aims to look for the main transport road of the ancient Silk Road and to add to the hidden history of silk, where little is known about the weaving technology of the beautiful silk of GoJoseon. The research was through the analysis of relics of empirical data and analyzed the secondary data collected from books, papers, and photos of artifacts. The research questions are as follows: First, investigates the environment of silk production for GoJoseon KyungGeum and the correlation between ancient Silk Road and the East region. Second, examines the advanced weaving technology of KyungGeum in GoJoseon. The findings of the study are as follows: It is possible to infer the production period of silk in GoJoseon through jade silkworms from the Hongsan Dong-Yi culture of 4500 BC. KyungGeum pieces were excavated in Louran, Astana and Niya of the Xinjiang Autonomous Region and Noin-Ula of Mongolia, and the oldest KyungGeum was found in JoYang, one of the capitals of GoJoseon near Balhae Bay. KyungGeum was invented in the 11th century BCE here. It became the brocade and damask of the West, which were delivered through steppe road before the 5~6th century BCE. The production of KyungGeum was possible through the advanced loom which is GoJoseon's horizontal square 'Jewharu' loom combined with a high level of weaving skill. This can't be made through the slant loom of China nor vertical loom of the West Asia. Based on these results, it is suggested to continue the research on the history of ancient silkroad.

Comparisons of the Plastic Changes in the Central Nervous System in the Processing of Neuropathic Pain (신경병증성 통증의 처리 과정에 있어 중추신경계의 가소성 변화 비교)

  • Kwon, Minjee
    • Science of Emotion and Sensibility
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    • v.24 no.2
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    • pp.39-48
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    • 2021
  • According to International Associating for the Study of Pain (IASP) definition, neuropathic pain is a disorder characterized by dysfunction of the nervous system that, under normal conditions, mediates virulent information to the central nervous system (CNS). This pain can be divided into a disease with provable lesions in the peripheral or central nervous system and states with an incorporeal lesion of any nerves. Both conditions undergo long-term and chronic processes of change, which can eventually develop into chronic pain syndrome, that is, nervous system is inappropriately adapted and difficult to heal. However, the treatment of neuropathic pain itself is incurable from diagnosis to treatment process, and there is still a lack of notable solutions. Recently, several studies have observed the responses of CNS to harmful stimuli using image analysis technologies, such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and optical imaging. These techniques have confirmed that the change in synaptic-plasticity was generated in brain regions which perceive and handle pain information. Furthermore, these techniques helped in understanding the interaction of learning mechanisms and chronic pain, including neuropathic pain. The study aims to describe recent findings that revealed the mechanisms of pathological pain and the structural and functional changes in the brain. Reflecting on the definition of chronic pain and inspecting the latest reports will help develop approaches to alleviate pain.

Analysis of the Necessary Mechanical Properties of Embroiderable Conductive Yarns for Measuring Pressure and Stretch Textile Sensor Electrodes (생체 신호 측정 압력 및 인장 직물 센서 전극용 자수가 가능한 전도사의 필요 물성 분석)

  • Kim, Sang-Un;Choi, Seung-O;Kim, Joo-Yong
    • Science of Emotion and Sensibility
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    • v.24 no.2
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    • pp.49-56
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    • 2021
  • In this study, we investigated the necessary mechanical properties of conductive multifilament yarns for fabricating the electrodes of biosignal measurement pressure and stretch textile sensors using embroidery. When electrodes and circuits for smart wearable products are produced through the embroidery process using conductive multifilament yarns, unnecessary material loss is minimized, and complex electrode shapes or circuit designs can be produced without additional processes using a computer embroidering machine. However, because ordinary missionary threads cannot overcome the stress in the embroidery process and yarn cutting occurs, herein, we analyzed the S-S curve, thickness, and twist structure, which are three types of silver-coated multifilament yarns, and measured the stress in the thread of the embroidery simultaneously. Thus, the required mechanical properties of the yarns in the embroidery process were analyzed. In the actual sample production, cutting occurred in silver-coated multifilament rather than silver-coated polyamide/polyester, which showed the lowest S-S curve. In the embroidery process, the twist was unwound through repetitive vertical movement. Further, we fabricated a piezoresistive pressure/tension sensor to measure gauge factor, which is an index for measuring biological signals. We confirmed that the sensor can be applied to the fabrication of embroidery electrodes, which is an important process in the mass production of smart wearable products.

Hi, KIA! Classifying Emotional States from Wake-up Words Using Machine Learning (Hi, KIA! 기계 학습을 이용한 기동어 기반 감성 분류)

  • Kim, Taesu;Kim, Yeongwoo;Kim, Keunhyeong;Kim, Chul Min;Jun, Hyung Seok;Suk, Hyeon-Jeong
    • Science of Emotion and Sensibility
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    • v.24 no.1
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    • pp.91-104
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    • 2021
  • This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.

Resistive E-band Textile Strain Sensor Signal Processing and Analysis Using Programming Noise Filtering Methods (프로그래밍 노이즈 필터링 방법에 의한 저항 방식 E-밴드 텍스타일 스트레인 센서 신호해석)

  • Kim, Seung-Jeon;Kim, Sang-Un;Kim, Joo-yong
    • Science of Emotion and Sensibility
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    • v.25 no.1
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    • pp.67-78
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    • 2022
  • Interest in bio-signal monitoring of wearable devices is increasing significantly as the next generation needs to develop new devices to dominate the global market of the information and communication technology industry. Accordingly, this research developed a resistive textile strain sensor through a wetting process in a single-wall carbon nanotube dispersion solution using an E-Band with low hysteresis. To measure the resistance signal in the E-Band to which electrical conductivity is applied, a universal material tester, an Arduino, and LCR meters that are microcontroller units were used to measure the resistance change according to the tensile change. To effectively handle various noises generated due to the characteristics of the fabric textile strain sensor, the filter performance of the sensor was evaluated using the moving average filter, Savitsky-Golay filter, and intermediate filters of signal processing. As a result, the reliability of the filtering result of the moving average filter was at least 89.82% with a maximum of 97.87%, and moving average filtering was suitable as the noise filtering method of the textile strain sensor.

The Influences of Deteriorated Visuo-spatial Attention Allocation Ability Caused by Aging on Emotional Perception Bias (노화에 의해 저하된 시공간 주의배분능력이 정서지각 편향성에 미치는 영향)

  • Kim, Sang-Yub;Jung, Jae-Bum;Nam, Ki-Chun
    • Science of Emotion and Sensibility
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    • v.23 no.4
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    • pp.3-20
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    • 2020
  • The purpose of this study was to investigate the effect of aging on visuo-spatial attention allocation ability and emotional perception bias. We used the useful field of view (UFOV) task to measure the visuo-spatial attention allocation ability and the emotional perception task to measure positive and negative emotional perception bias. A total of 48 participants took part in this study with 23 participants in the senior group and 25 in the junior group. The senior group showed slower response time and lower accuracy than the junior group in the UFOV task, indicating that the senior group had lower visuo-spatial attention allocation ability than the junior group. In the emotional perception task, the senior group showed both positive and negative emotional perception bias more than the junior group. The correlation analysis showed that the negative emotional perception bias for accuracy in the emotional perception task showed a positive correlation with the response time to the stimuli presented in the visual angle 30° in the UFOV task (r=.289). In addition, positive emotional perception bias for the accuracy in the emotional perception task showed a positive correlation with the accuracy of the stimuli presented in the visual angles 10°, 20°, and 30° in the UFOV task (r=.305, r=.322, and r=.299, respectively). However, it showed a negative correlation with the response time of the stimuli presented in the same location in the UFOV task (r=-.345, r=-.295, r=-.308). These results suggest that aging is associated with a decrease in the visuo-spatial attention allocation ability and perceptual bias toward positive and negative emotions. In addition, the positive and negative emotional perception biases associated with aging are potentially related to the reduced visuo-spatial attention allocation ability.

Effect of Field of View on Egocentric Distance Perception in Real and Virtual Environment (현실과 가상현실에서 시야각이 자기중심적 거리지각에 미치는 영향)

  • Jin, Seungjae;Kim, Shinwoo;Li, Hyung-Chul O.
    • Science of Emotion and Sensibility
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    • v.24 no.4
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    • pp.17-28
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    • 2021
  • The purpose of the research was to examine the effect of field of view on egocentric distance perception in the real and virtual environment. The replica that mimicked the real environment condition was used to create the virtual environment condition. We manipulated field of view levels equally in both viewing conditions using glasses that limit the field of view in real-world conditions and limiting the field of view in virtual-world conditions in a manner equivalent to real-world conditions via HMD. Eighteen participants observed the target with a limited field of view in a real and virtual environment without head movement. Then, we measured perceived distance using the timed imagined walking method, which measures the time taken by each participant to mentally walk to the target. The target was shown three times at three different distances from the participants: 3, 4, and 5 m. For the analysis, we converted time estimates into distance estimates. Consequently, the estimated distance in the virtual environment condition was less than the estimated distance in the real environment condition. And as the field of view shrank, the estimated distance also decreased. The estimated distance did not vary with field of view levels in real-world conditions. In the virtual environment, the estimated distance decreased as the field of view decreased, whereas in the real environment, the estimated distance increased. The implications of the results and some future research directions are discussed below.

A Study on the Usage and Improvement of the Color Image Scale (색채감성척도의 사용현황 분석 및 개선에 대한 연구)

  • Kim, Miry;Park, Yun-Sun
    • Science of Emotion and Sensibility
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    • v.25 no.3
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    • pp.117-126
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    • 2022
  • This study seeks to identify usage behaviors and improvement factors to increase the academic and practical application of value the of color image scales. For this purpose, the authors discuss the positive and negative perspectives on the evaluation of previous studies on color image scales. Furthermore, a survey was conducted with 25 color experts who have been working in the field for over five years, and in-depth interviews were conducted with five of them. The contents of the survey are usage behaviors, evaluation, and the improvement of Kobayashi and IRI color image scales. In this process, emotional adjectives that need improvement were derived, and the opinions of experts related to improvements were collected. The analysis results are as follows. 1) As a result of the usage behaviors, 92% were aware of both color image scales. Moreover, 44% used both, and 56% used only one. 2) Regarding familiarity and trust, IRI was higher than Kobayashi. 3) A total of 88% of respondents stated that color image scales were necessary. A total of 43.6% of respondents, the largest group of respondents, indicated that color image scales are necessary in the field of practice. 4) Regarding the need for improvement, 88% responded that IRI color image scales need improvement. 5) The highest response to the factors requiring improvement was the reflection of the times, which was 31.9% for Kobayashi and 30.9% for IRI. 6) When improving color image scales, the adjectives that need to be treated as the most important were shown to be modern (15.8%) → natural, romantic, wild (8.8%) → dynamic (7.0%) → classic, casual, chic (5.3%). In conclusion, limitations were identified in the use of color image scales in practice and in the research areas, and there was a demand for correction and supplementation. The results of this study will serve as a foundational study related to color image scales, and it is expected that subsequent research related to color image scales will follow.

Moderating Effects of User Gender and AI Voice on the Emotional Satisfaction of Users When Interacting with a Voice User Interface (음성 인터페이스와의 상호작용에서 AI 음성이 성별에 따른 사용자의 감성 만족도에 미치는 영향)

  • Shin, Jong-Gyu;Kang, Jun-Mo;Park, Yeong-Jin;Kim, Sang-Ho
    • Science of Emotion and Sensibility
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    • v.25 no.3
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    • pp.127-134
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    • 2022
  • This study sought to identify the voice user interface (VUI) design parameters that evoked positive user emotions. Six VUI design parameters that could affect emotional user satisfaction were considered. The moderating effects of user gender and the design parameters were analyzed to determine the appropriate conditions for user satisfaction when interacting with the VUI. An interactive VUI system that could modify the six parameters was implemented using the Wizard of OZ experimental method. User emotions were assessed from the users' facial expression data, which was then converted into a valence score. The frequency analysis and chi-square test found that there were statistically significant moderating gender and AI effects. These results implied that it is beneficial to consider the users' gender when designing voice-based interactions. Adult/male/high-tone voices for males and adult/female/mid-tone voices for females are recommended as general guidelines for future VUI designs. Future analyses that consider various human factors will be able to more delicately assess human-AI interactions from a UX perspective.

Analysis of Perceived Weight According to Temperature and Weight of Stainless Steel Cup (스테인리스 컵의 온도와 무게에 따른 무게감 분석)

  • Ryu, Taebeum;Park, Jaehyun
    • Science of Emotion and Sensibility
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    • v.25 no.2
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    • pp.23-30
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    • 2022
  • The weight of an object is an important research topic in terms of sense, and objects have size-weight, color-weight, and material-weight illusions due to the influence of size, color, and material and the weight of the object. Although temperature is a very important environmental factor in our daily life, there is a dearth of studies on how the temperature of an object affects its perceived weight. This study analyzed the effect of an object's temperature on the perceived weight. A stainless steel cup, in which weight and temperature are easily adjustable, was selected as a perceived weight measurement object; 5 temperature levels (0, 9, 20, 40, 70 degrees) and 2 weight levels (250, 400 g) were set. A total of 40 healthy men and women in their 20s participated in the experiment. The weight of the given cup compared to the reference cup was evaluated according to the modulus method. The study revealed that both temperature and weight significantly affected the perceived weight. The effect of temperature on the weight was different depending on the weight of the object. When the cup's weight was small (250 g), the temperature of the cup did not affect the weight. However, the perceived weight of a large cup (400 g) increased at a low temperature. This result suggests that the effect of temperature on the weight of an object depends on the size-weight illusion.