• Journal of the Korea Institute of Information and Communication Engineering
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• 제26권8호
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• pp.1158-1164
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• 2022

In this study, the emotional reaction process and the cognitive reaction process were divided into the process of building trust in order to form a continuous use intention in the process of using the mobile simple payment system. We examined the process by which various external factors generate continuous use intentions, that is, behavioral responses through the process of each reaction. External factors were divided into social factors, systemic factors, and social factors. Among them, system factors were social norms and images, and systemic factors were simplicity and accessibility. And the social factors consisted of security and compatibility. And the emotional response was set as pleasure and emotional trust, the cognitive response was cognitive trust, and the final dependent variable was set as continuous use intention. A survey was conducted for model analysis, and the analysis results were derived using PLS.

• Science of Emotion and Sensibility
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• 제13권1호
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• pp.129-146
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• 2010

System response times(SRTs) are getting important while increasing the function of system. In the past, most research studied SRTs on situation of computer usage. There are lacking the research on simple domain. This study focuses on behavioral and emotional effect on situation of cell phone usage(experience 1; independent variables: degree of SRTs, dependent variables: behavioral and emotional evaluation). And this study investigates the behavioral and emotional effect in same SRTs on different situation(experience 2; independent variables: degree of SRTs, usage mode, dependent variables: behavioral and emotional evaluation, stress, mental strain). The result indicated that long SRTs increased problem solving time and negative emotion. User evaluated the system differently according to usage mode after they performed the same task. In other word, if user had a strong goal, then they felt more negative emotion and mental effort than the user don't have a strong goal. In the goal mode group, it was important there are being of delay or not. This study demonstrated that SRTs and usage mode influence user's emotion and behavior performance in same task.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• 제29권10호
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• pp.25-33
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• 2015

LED lightings combined with IT technology can provide variable illumination environments that can be controlled by users according to their emotional need and preferences. This is one of the most beneficial functions compared with conventional lightings offering only fixed color and brightness. There is however lack of analysis data for creating practical lighting solutions satisfying user preferences in a wide range of applications from residential to commercial places. To materialize the technical advantages of user-controllable LED lightings, more observation data are required in various situations. Therefore, dissimilar emotional needs are determined in the present study for compartmental office spaces (staff lounge room, meeting room and desk job place) through subjective experiments by 45 observers. The optimum lighting conditions (CCT and illuminance) are finally obtained using Response Surface Method and relevant prediction functions are also deduced. The final outcome can be applied for making user-preferred office illumination products.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제14권7호
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• pp.1572-1580
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• 2010

This thesis presents an emotion-based contents player platform that can change its visual and aural components as user's emotions. It analyzes the emotion as pleasant, unpleasant, aroused, and relaxed based on the physiological signals and the user's active response. Accordingly. the system reorganizes graphical and aural stimuli, such as, light, color, sound, in real-time. It can be used to develop and show the emotional contents and also be applied for the systematic analysis to find out how the components would affect the emotion. This paper describes overall the system architecture and the implementations of the sub-systems, as well as the actual contents built on top of the platform.

• Journal of Korean Library and Information Science Society
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• 제53권3호
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• pp.405-429
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• 2022

This study investigated the differences in emotional labor, job satisfaction, and organizational commitment by job type, and the effect of emotional labor on job satisfaction and organizational commitment for public library employees. Using SPSS 27.0, the survey contents were performed frequency analysis, factor analysis, validity analysis, reliability analysis, correlation analysis, and multiple regression analysis. As a result of the study, it was found that the librarianship experienced more emotional labor than non-librarians, and the frequency of emotional labor increased depending on whether or not the civil service was included, and had a negative effect on overall job satisfaction and job condition satisfaction. However, in the case of psychological response to job satisfaction, library data work was found to be high. In terms of user service, emotional labor that occurs in librarians' work has two sides, which can have both positive and negative effects on the librarian's job satisfaction and organizational commitment. Therefore, practical measures to reduce the frequency and emotional dissonance of emotional labor and increase the diversity of emotional labor should be included in the user response manual and future mental health promotion program development.

• The Journal of Bigdata
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• 제7권1호
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• pp.29-36
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• 2022

The prevalence of stress and depression among emotional workers is increasing due to the rapid increase in emotional labor and service workers. However, the current mental health management of emotional workers is difficult to consider the emotional response at the time of stress situations, and the existing mental health management is limited because the individual's base state is not reflected. In this study, we present mental healthcare digital twin solution technology, a personalized stress risk management solution. For mental health risk management due to emotional labor, a solution simulation is performed to accurately predict stress risk through synchronization/modeling of dynamic objects in virtual space by extracting individual stress risk factors such as emotional/physical response and environment into various modalities. It provides a mental healthcare digital twin solution for predicting personalized mental health risks that can be configured with modalities and objects tailored to the environment of emotional workers and improved according to user feedback.

• The Journal of Korean Society for School & Community Health Education
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• 제20권2호
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• pp.81-91
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• 2019

Objectives: It helps dental clinic to work 1:1 consulting and select the properties of the Kakao Talk message. The study was designed to determine the influence of users cognitive and emotional responses by message attribute that affect intention of use of dental clinic. Methods: This study targeted 297 peple Kakao Talk users aged 20-50 s, in Seoul, Gyeonggi-do and Incheon from, February 6 to April 7, 2017. We analyzed the data with frequency analysis, t-test, one-way ANOVA, and multiple regression analysis by using SPSS ver 24.0(SPSS Inc, Chicago, USA). The significance level for significance was set at 0.05. Results: Among the user's responses about the event type Kakao talk message, the ease(${\beta}=0.121$, p<0.01), usefulness(${\beta}=0.148$, p<0.001), affinity(${\beta}=0.471$, p<0.001), satisfaction(${\beta}=0.249$, p<0.001). affected intention of use of dental clinic. Among the user's responses about the dental information type, the ease(${\beta}=0.150$, p<0.05), expertise(${\beta}=0.151$, p<0.05), satisfaction(${\beta}=0.237$, p<0.001) affected intention of use of dental clinic(p<0.05). Among the user's responses about the general public relations type, the expertise(${\beta}=0.254$), affinity(${\beta}=0.193$), satisfaction(${\beta}=0.474$) affected intention of use of dental clinic(p<0.001). Conclusion: It is necessary to elicit a positive intention of use of dental clinic through a highly emotional response from the users to improve the image of the dental clinic and to attract patients.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제14권7호
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• pp.1557-1564
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• 2010

In this paper, we propose a maximum entropy-based emotion recognition model using the individual average difference of emotional signal, because an emotional signal pattern depends on each individual. In order to accurately recognize a user's emotion, the proposed model utilizes the difference between the average of the input emotional signals and the average of each emotional state's signals(such as positive emotional signals and negative emotional signals), rather than only the given input signal. With the aim of easily constructing the emotion recognition model without the professional knowledge of the emotion recognition, it utilizes a maximum entropy model, one of the best-performed and well-known machine learning techniques. Considering that it is difficult to obtain enough training data based on the numerical value of emotional signal for machine learning, the proposed model substitutes two simple symbols such as +(positive number)/-(negative number) for every average difference value, and calculates the average of emotional signals per second rather than the total emotion response time(10 seconds).

• Journal of Environmental Science International
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• 제32권12호
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• pp.979-985
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• 2023

After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

• Korean Journal of Community Nutrition
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• 제22권6호
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• pp.485-494
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• 2017

Objectives: The objective of this study was to develop mobile phone application for image-based dietary assessment and evaluate satisfaction regarding respondent's use of the mobile phone application. Methods: We developed a mobile phone application to assess dietary intakes using 24 hour dietary recall. After initial development, application was reviewed by ten adults and revised based on their comments. We recruited 192 volunteers (92 males, 100 females) to use the mobile phone application and to respond to a satisfaction survey. Participants were instructed to use the mobile phone application with fiducial marker five centimeter in width, length and two centimeter height at each eating occasion during designated 4 days, capturing $45^{\circ}$ angle and $90^{\circ}$ angle images of all food and beverage items before and after consumption. After using the mobile phone application for 4 days, participants were asked to complete an online questionnaire on the satisfaction of the mobile phone app. User satisfaction items composed of 12 questions of application user interface, 8 questions of emotional response, 9 questions of eating behavior in 5 likert scale. Participants were also asked to provide additional open-ended comments on the use of mobile phone application. Statistical analysis was performed by using the SPSS 23.0 (Statistical Package for the Social Science). Results: The average user interface score was $2.82{\pm}1.08$, which was close to the 'normal' response. Responses for emotion and eating behavior also were borderline to the 'normal'. Conclusions: This study found that the mobile phone application using 24-hour recall was acceptable to be used to assess dietary intakes for several days. However, there should be a need for such technology to be user-oriented instead of researcher-oriented. Easy and cost-effective new technology is needed for estimating the amounts of food eaten automatically when the photos are taken.