As the popularity of single-person media content increases, We investigated the causal relationship between perceived value and intention to recommend to others. Individuality was studied on the tendency to sensation seeking and novelty seeking, which is a tendency to take boredom sensitive to monotonous and repetitive daily routines, and novelty seeking refers to new information and stimuli. The hypothesis was that high sensation seeking and high novelty seeking would perceived emotional value, epistemic value, and economic value for a single person 's media content. Hypothesis testing was performed using multiple regression analysis using SPSS21. As a result of the hypothesis test, The novelty seeking has a positive effect on emotional value, epistemic value, and economic value. Users who want to explore and enjoy new things could perceived the emotional value of having fun, fun, and sadness through single-person content, perceived a epistemic value and enjoy new information and situations as a tool to recognize new stimuli and know what they didn't know. And it could be seen that users perceive the economic value that they can enjoy at low cost or free service. The sensation seeking has a significant effect on epistemic value, but it did not affect emotional value and economic value significantly. Those who have a high tendency to sensation seeking can perceive curiosity about one-person media contents, so that they can perceive epistemic value. However, those who feel that they have not significant influence on economic value and emotional value can easily understand that expecting one's content does not feel bored by paying for a low cost or free service.
How has the passenger car's architecture evolved? In the meantime, the discussions on the car architecture have been mixed, i.e., integral, modular, and the coexistence of two types. Therefore, in this study, we aim to develop two indices can measure the degree of modularization of passenger car and its all modules using global trade data. By applying the indices to the framework of architecture positioning that reflects the hierarchical structure of a product, we examined that the degree of modularization of the passenger car architecture has been enhanced. Meanwhile, the degree of modularization differs across the modules that make up the car. Specifically, we observed the higher degree of modularization in front-end, cockpit and seat modules. Whereas, we found that body module had a relatively low degree of modularization. In particular, we observed that the platform of passenger car has notably modularized due to carmakers' efforts to achieve model diversification and reduction of cost and period in new product development at the same time. Interestingly, we showed that three modules, i.e., engine, chassis (relatively less modularized), and transmission (relatively highly modularized), had a different level of modularization, even if they commonly make up the platform. We contribute to the suggestion for analytical approaches that examine the degree of modularization and its progress longitudinally. In addition, we propose the necessity of decomposition of a system into elements in a study of product architecture, considering the possibly distinctive progress of modularization across the elements.
The purpose of this study is to explore what causes medical college students to play games they will play and use them as academic foundation material. And lay a complex foundation for game addicts. To achieve this objective, an approach was taken as a method of exploratory case study. The participants in the study were recruited by their consent at the R meeting of the College of Medicine. Data collection was collected through a one-on-one interview with FGI. The data analysis was read repeatedly and classified into semantic units to derive the essential meaning. The study produced two essential topics and seven revealed topics. It is 'my job to play games' and 'know the importance of discrimination.'According to the analysis, the game behavior played by medical students was able to quit due to the self-efficacy experienced during the course of growth. When one's expectations were met and self-strengthened, one could see that self-control was possible through self-efficacy. It suggested that measures for sound game culture and complex strategy should be explored and measures to improve self-efficacy should be explored.
In level 5 (mind-off) of autonomous driving, the autonomous vehicle passengers are expected to have various activities such as face-to-face meetings, working, relaxing, and watching movies. In particular, various changes in the interior space of the vehicle are expected. Moreover, according to the survey conducted by the American Automobile Association, 73% of the respondents reported that they were afraid to board autonomous vehicles. In level 5 of autonomous driving, the subject of safety was expected to be transferred to autonomous vehicles; thus, research should be conducted from the user's perspective. Recently, various studies have been conducted to secure the safety of fully autonomous vehicles. However, there are limited studies addressing the psychological safety of actual passengers. Therefore, this study conducted a questionnaire based on the AHP technique. Consequently, the automobile safety system's priority for securing passengers' psychological safety according to each type of indoor behavior was derived, and the interior space for securing the psychological stability of passengers was suggested based on the obtained results. This study offers a new direction for interior space design, satisfying the psychological safety of passengers. This study is important because it advocates that the interior environment of fully autonomous driving cars is expected to be designed to secure the user's psychological safety.
KSCE Journal of Civil and Environmental Engineering Research
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v.40
no.6
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pp.613-622
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2020
The South Korean government plans for a 37 % reduction in CO2 emissions against business as usual by 2030. Subsequently, the Ministry of Land, Infrastructure and Transport declared a 26.9 % reduction target in greenhouse gas emissions from buildings by 2020 and established the Green Standard for Energy and Environmental Design (G-SEED) to help improve the environmental performance of buildings. Construction companies often work with consulting firms to prepare for G-SEED certification. In the process, owing to inefficient data sharing and work connections, it is difficult to achieve economic efficiency and obtain certification. The objective of this study was to develop an economic model to assist contractors in achieving the required G-SEED scores for materials and resources. To do this, we automated the process for material comparison and selection on the basis of an analysis of actual consulting data, and developed a model that selects material alternatives that can meet the required scores at a minimum cost. Information on materials is input by applying a genetic algorithm to the optimization of alternatives. When the model was applied to actual data, the construction cost could be lowered by 79.3 % compared with existing methods. The economical material selection model is expected to not only reduce construction costs for owners desiring G-SEED certification but also shorten the project design time.
With the advent of the Fourth Industrial Revolution, the liberal arts education of universities has been called for fundamental innovation in its content and methods. H university has continuously made efforts to improve its general education curriculum with the goal of satisfying students' needs as well as the demands of the times. Its efforts can be summarized as the harmonization of competency-based education and the traditional liberal arts education. In more detail, it has tried to meet the demands of Ministry of Education which requests each university to establish its general education system focusing on key competencies. Simultaneously, it also radically changed its education system based on the guidelines of the Korea National Institute for General Education(KONIGE). The starting point of those changes was the basic consulting by KONIGE in 2017. According to the consulting report, H university introduced comprehensive and overall revision of its liberal arts education curriculum, increasing its liberal arts credit requirements from 22 to 28 credits in 2019. It has also reorganized and reclassified its liberal arts courses by introducing distributive elective classes. In 2020, in accordance with the guidelines of the Ministry of Education, H university altered its curriculum once more in order to establish a competency-based general education curriculum. Under the new curriculum, all requirement subjects are completely matched with key competencies of H university. It also includes newly opened courses and subject areas such as "Social Service" and "Global Citizenship." Through these changes, H university hopes that its general education contributes to fostering students equipped with key competencies, who can face actively this challenging period.
Due to the recent economic development and the improvement of income level in China, the desire for quality medical services is increasing compared to the past. As an alternative to satisfy these needs, various applications using smart phones and the like are being developed. The new corona that occurred in December 2019 began to show great interest in non-face-to-face telemedicine services using smart phones due to the worldwide spread of the coronavirus. Therefore, in this study, a total of 200 people were surveyed on the top three mobile medical applications in China, and the data of 120 people who actually used medical applications were analyzed based on Venkatesh's UTAUT2 theory. A study was conducted on the intent to use and the factors affecting the in-law behavior. First, it has become clear that the interactive characteristics, expectations for effort, price value, interest in privacy, habits, and promotional conditions have a positive impact on the user's use. Second, it was investigated that the user's intention to use influences the behavior of use, and among the intentions of use, it was found that the mobilization characteristic expectation, hedonistic motivation, price value, habits, and promotion conditions affect the use behavior. Third, a study result was derived that the controlling variables such as gender, age, school age, and annual income do not affect the user's intention to use mobile medical applications as a controlling variable. Finally, due to the nature of mobile devices that use the Internet, various security vulnerabilities exist, and this can cause great damage or personal and social impact. Therefore, for the development of mobile medical services in China, it is necessary to re-establish a research model through comprehensive and in-depth considerations to supplement these problems in the future.
The purpose of this study was to evaluate how accurately children with autism spectrum disorder (ASD; n = 9) recognized four basic emotions (i.e., happiness, sadness, anger, and fear) following musical or visual cues. Their performance was compared to that of typically developing children (TD; n = 14). All of the participants were between the ages of 7 and 13 years. Four musical cues and four visual cues for each emotion were presented to evaluate the participants' ability to recognize the four basic emotions. The results indicated that there were significant differences between the two groups between the musical and visual cues. In particular, the ASD group demonstrated significantly less accurate recognition of the four emotions compared to the TD group. However, the emotion recognition of both groups was more accurate following the musical cues compared to the visual cues. Finally, for both groups, their greatest recognition accuracy was for happiness following the musical cues. In terms of the visual cues, the ASD group exhibited the greatest recognition accuracy for anger. This initial study support that musical cues can facilitate emotion recognition in children with ASD. Further research is needed to improve our understanding of the mechanisms involved in emotion recognition and the role of sensory cues play in emotion recognition for children with ASD.
The National Assembly of the Republic of Korea recently enacted laws to fortify sanctions about data manipulation of pharmaceutical companies. The medicine approval system is the result of legislative efforts to prevent accidents that caused damages to patients' life and health. The medicine approval system is based on the trust that the data submitted by pharmaceutical companies is not manipulated. The Supreme Court of Korea clarified that strict standard shoud be required to secure the medicine safety in Supreme Court Decision 2008Du8628 decided November 13, 2008. We agree. This paper suggest legislation to weaken the economic incentives for pharmaceutical companies to choose data manipulation by minimizing the expected profit. In addition to revoking the marketing authorization of the medicine, the 'unfair' profits the pharmaceutical company has earned must be recovered. In addition, in order to increase the possibility to discover data manipulation, it is necessary to strengthen the review capacity and to activate the whistle-blowing.
Journal of Korea Society of Industrial Information Systems
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v.27
no.6
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pp.25-40
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2022
This study is about how the quality of M2M big data that provides real-time information affects users. Recently, there are many difficulties in acquiring and managing data because data types such as variety, data volume, and data velocity are changing rapidly and diversified. This not only leads to a decrease in data quality but also it can give a negative impact when making decisions using data. Generally, the quality of data is defined as 'suitability for use', which means that data quality must meet the expectations of user needs. Therefore, data providers need activities to improve data quality for this purpose, and the key is to identify data quality dimensions in each field where data is used and provide data suitable for the level of user needs. In this study, the relationship between the quality area of real-time M2M data used in the traffic information system and user satisfaction was analyzed. Research models and hypotheses were established to analyze the effects between variables related to M2M big data. In order to test the hypothesis, a causal relationship between the major factors was identified by conducting a survey and analyzing the data users.
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