• Science of Emotion and Sensibility
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• v.12 no.1
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• pp.109-120
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• 2009

This study was carried out in order to investigate color sensation and sensibility for yellowish natural dye fabrics and reddish ones and to establish prediction models for color sensibility factors of them by color sensation and the related physical measurements focusing on 40s middle-aged people. Eight fabric stimuli which were dyed with a variety of yellowish or reddish natural dyes was subjectively evaluated in terms of color sensation and sensibility by 40s aged participants. As results, three color sensibility factors including 'Active', 'Characteristic', and 'Relax' were extracted and they were examined in respect of their relationships with color sensation and physical color properties. Color sensibility factor 'Active', the dominant factor for the naturally dyed fabrics was explained by $L^*$ and sensation 'Deep' in its predictive model and a yellowish fabric dyed with 300% solution of armur cork unmordanted was perceived the strongest in the factor. Factor 'Characteristic' was predicted by both $a^*$ and sensation 'Light' and reddish natural dye fabrics tended to be felt more strongly for it. Color sensation 'Strong' was the only predictor for factor 'Relax' in that naturally dyed fabrics with lower values for the sensation seemed to show higher 'Relax' factor and a reddish fabric dyed with safflower 125% was the highest for the color sensibility factor. These results could be utilized to design color-sensible natural dye fabrics for middle-aged people.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.190-205
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• 2010

The purpose of this study is to understand the effect of physical environment of family restaurant upon customers' emotions, satisfaction and revisit intent. Based on total 438 samples obtained from the empirical research, this study reviewed the reliability and fitness of the research model using Amos program. The hypothesized relationships in the model were tested simultaneously by using a structural equation model (SEM). The proposed model provided an adequate fit to the data, $x^2$ 592.898(p<0.001), df=239, CMIN/DF 2.481, RMR 0.103, GFI 0.900, NFI 0.952, CFI 0.970, RMSEA 0.058. SEM resulted that the physical environment showed a significant effect on customers' positive emotions($\beta$=0.388, p<0.001) and negative emotions($\beta$=-0.148, p<0.001). Also, customers' positive emotion($\beta$=0.828, p<0.001) bad a positive significant effect on customer satisfaction, and customer satisfaction($\beta$=0.771, p<0.001) bad a positive significant effect on revisit intent. Limitations and future research directions are also discussed.

• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.77-88
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• 2019

As the social interest of the Baby Boomer generation is increasing, this study derives implications for lifelong education policy through identification of the need and support for lifelong education among baby boomers lifelong learning, taking into account such aspects of quality of life as emotional psychology-based self-development and self-realization. To optimally explore support for lifelong learning for the baby-boomer generation, first-tier (top-level), sixth-tier (bottom-level), and five-other evaluation criteria were available. For the first layer, we examined whether potentiality or realizability was more desirable, and for the second layer, detailed criteria for realizability were set up, dividing them into financial, legal, and administrative feasibility. A study conducted by experts on the policy priority analysis of Baby Boomers showed that their support for lifelong learning places a greater priority on its feasibility (the more feasible alternative) than desire (the more desirable option). Among the six criteria, lifestyle activities had high priority, and the relative importance of the five assessment alternatives for lifetime learning activities was shown to be higher for employment skills education (0.377), civil participation education (0.181), lifestyle activities (0.200), and 'lifetime activities' (06.11). These results are meaningful: they can help shape and refine the needs of lifelong education, assess their relative importance, and prepare basic data for lifelong learning policies for baby boomers who are about to enter their old age.

• Science of Emotion and Sensibility
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• v.21 no.4
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• pp.37-42
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• 2018

This study was conducted to evaluate the effects of LED illumination and task difficulty on a person's long-term memory. Illumination levels of 400 lx and 1,000 lx were employed in this study, and task difficulty was set at learning 4 words (easy task) and 7 words (difficult task). The person's retention rate of the learned task was designated as a dependent variable. A total of 64 subjects participated in this study, and 16 participants assigned to each of the four sets of conditions. The results indicated that the retention rate for the difficult task under relatively dark 400 lx conditions was 68.49%, while and the retention rate was higher than 56.03% for 1,000 lx conditions. In addition, for the easy task, the retention rate was 67.97% and 56.55% for the 400 1x and the 1,000 1x conditions, respectively. However, the interaction between illumination and task difficulty was not statistically significant. The study results further suggested that long-term memory can be effective in relatively dark conditions and indirectly suggests that long-term memory may not follow the Yokers-Dodson law.

• Science of Emotion and Sensibility
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• v.23 no.4
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• pp.41-60
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• 2020

In this study, we examined the effects of video game play on a variety of areas of mental well-being, such as aggressive behavior, aggressive cognition, prosocial behavior, prosocial attitude, antisocial behavior, antisocial attitude, positive affect, and negative affect. We conducted a multivariate meta-analysis on 22 studies (k= 54, N = 8,031) published between January 2008 and October 2019. The results of the meta-analysis indicate that exposure to violent video games significantly increased aggressive cognition and negative affect only in true experimental studies, but their influences were small. Furthermore, the exposure to violent video games did not increase aggressive behavior and negative affect across all the research designs (true experimental, quasi-experimental, and correlational). Moderator analyses revealed that the effects of exposure to violent video games were much larger for younger adults than for children and greater in male-biased studies than in gender-balanced ones. Additionally, studies using better methodologies were less likely to produce negative effects. These findings suggest that the effects of exposure to violent video games on aggression were not as severe as popular opinion holds, and the effects were heavily modulated by the age and gender ratio of the participants, and methodological quality of the studies.

• 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.

• Science of Emotion and Sensibility
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• v.24 no.2
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• pp.81-92
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• 2021

In this study, we investigated the effects of five EMS lumbar back pressure belts produced on an anatomical basis on lumbar spine stabilization. Five core muscles were selected, including the urinal, vertebral column, endotracheal, external abdominal, and large back muscles, and patterns were designed using a conductive fabric considering the appropriate muscle shape and pain-causing points. We experimented with four motions to examine the effects of different EMS abdominal compression belts on lumbar spine stabilization. Five healthy men in their 20s were selected. The selection conditions include no back pain history for the past three months, no restricted movements through pre-inspection, and the muscular strength of the body should belong to the normal grade. Using SLR, the sequence of experimental actions was chosen from the following but not limited to left-hand, body-hand, and back-line forces. Resting between movements lasted for 2 min, and the experiments were conducted after wearing the EMS abdominal pressure belt. Electrical stimulation was applied for 10 min to increase blood flow and muscle activation. The statistics of the experimental results were analyzed for specific differences by conducting the Wilcoxon and Friedman tests with nonparametric tests. The ranking results of each pattern were successfully assessed in the order of 5, 4, 3, 1, 2 for the five patterns, and we could identify slightly more significant results for experimental behavior associated with each muscle movement. Patterns produced based on anatomy showed differentiated effects when electric stimulation was applied to each muscle in different shapes, which could improve the stabilization of the lumbar spine in everyday life or training to the public. Based on these results, subsequent research would focus on developing smart healthcare clothing that is practical in daily life by employing different anatomical mechanisms, depending on the back pain, to utilize trunk-type tights.

• Science of Emotion and Sensibility
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• v.24 no.4
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• pp.129-138
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• 2021

This study aimed to determine the effects of the shape and attachment position of stretchable textile sensors coated with carbon nanotube on their performance when used to measure children's joint movements. Moreover, the child-safe requirements for fabric motion sensors are established. The child participants were advised to wear integrated clothing equipped with the sensors of various shapes (rectangular and boat-shaped) and attachment positions (at the knee and elbow joints or 4 cm below the joints). The voltage change induced by the elongation and contraction of the fabric sensors was determined for arm and leg flexion-extension motions at 60 deg/s (three measurements of 10 repeats each for 60°and 90°angles, for a total of 60 repetitions). Their dependability was determined by comparing the fabric motion sensors to the associated acceleration sensors. The experimental results indicate that the rectangular-shaped sensor affixed 4 cm below the joint is the most effective fabric motion sensor for measuring children's arm and leg motions. In this study, we designed a textile sensor capable of tracking children's joint motion and analyzed the sensor shape and attachment position on motion sensing clothing. We demonstrated that flexible fabric sensors integrated into garments may be used to detect the joint motions of the human body.

• 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.

• Science of Emotion and Sensibility
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• v.24 no.2
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• pp.25-38
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• 2021

The aim of this study is to protect workers and pedestrians from accidents at night or bad weather by attaching optical fiber to existing safety clothing that is made only with fluorescent fabrics and retroreflective materials. A safety vest was designed and manufactured by applying optical fiber, and energy-harvesting technology was developed. The safety vest was designed to emit light using the automatic flashing of optical fibers attached to the film, and an energy harvester was manufactured and attached to drive the light emission of the optical fiber more continuously. As a result, first, the vest wearer' body was recognized from a distance through the optical fiber and retroreflection, which helped prevent accidents. Thus, this concept helps in saving lives by preventing accidents during night-time work on the roadside or activities of rescue crew and sports activities, or by quickly finding the point of an accident with a signal that changes the optical fiber light emission. Second, to use the wasted energy, a piezoelectric-element power generation system was developed and the piezoelectric-harvesting device was mounted. Potentially, energy was efficiently produced by activating the effective charging amount of the battery part and charging it auxiliary. In the existing safety vest, detecting the person wearing the vest is almost impossible in the absence of ambient light. However, in this study, the wearer could be found within 100 m by the light emission from the safety vest even with no ambient light. Therefore, in this study, we will help in preventing and reducing accidents by developing smart safety clothing using optical fiber and energy harvester attached to save lives.