Journal of the Korea Academia-Industrial cooperation Society
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v.17
no.7
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pp.389-399
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2016
The purpose of this study was to provide the evidence necessary to establish job stress management strategies to improve office workers conditions by looking at the impact on job stress factors depending on the nature of the organization. The stress related variables (job stress and psychological well-being) and organizational effectiveness variables (job satisfaction, job engagement, intention to leave, and presentieesm) was included. A total of 154 questionnaires were distributed from 26th June to 1 August 2014 and 150 people were analyzed. The results indicated that a lack of reward was negatively correlated with job satisfaction and job engagement, and positively correlated with the intention to leave (p<0.05) in a large-sized company model. Moreover, in a medium-sized company model, organizational injustice was statistically significant with job satisfaction and job engagement. Organizational injustice, lack of reward, and occupational climate was positively correlated with the intention to leave (p<0.05). This study has its significance in that it looked at the job stress as a predictive variable to explain the organizational effectiveness and highlights the need to establish a stress management strategy depending on the nature of the company.
As virtual realty has become an issue of providing immersive services, in the area of virtual realty, it has been actively investigated to develop user interfaces for immersive interaction. In this paper, we propose a gesture recognition based immersive user interface by using an IR LED embedded helmet and data gloves in order to reflect the user's movements to the virtual reality environments effectively. The system recognizes the user's head movements by using the IR LED embedded helmet and IR signal transmitter, and the hand gestures with the data gathered from data gloves. In case of hand gestures recognition, it is difficult to recognize accurately with the general recognition model because there are various hand gestures since human hands consist of many articulations and users have different hand sizes and hand movements. In this paper, we applied the Mixture-of-Experts based gesture recognition for various hand gestures of multiple users accurately. The movement of the user's head is used to change the perspection in the virtual environment matching to the movement in the real world, and the gesture of the user's hand can be used as inputs in the virtual environment. A head mounted display (HMD) can be used with the proposed system to make the user absorbed in the virtual environment. In order to evaluate the usefulness of the proposed interface, we developed an interface for the virtual orchestra environment. The experiment verified that the user can use the system easily and intuituvely with being entertained.
National technical qualifications to enhance an individual's vocational skills, the competitiveness of companies and countries have an important function to improve. Especially 'qualifications' will have a signal function to show objectively measure an individual's ability with the 'Education' The "knowledge necessary for the performance of their duties. Technology will gain knowledge about such assessment or recognition is based on certain criteria and procedures." Learning to qualify are being made through a smart learning a lot. Due to the revolution of the Internet in recent years with the development of information and communication technologies are entering into a knowledge society, the importance of information and knowledge. This contemporary smart learning education system is continuing to rapidly growing in pace with the changing time and space constraints, without teaching and learning is taking place. The purpose of this study is the ARCS motivation theory can determine a representative theory of human motivation factors and basic psychological needs dealing with the human nature of the psychological needs Interactivity and immersive learning, and to validate the empirical causality Affecting the continued use of smart learning through fun. Specifically, attention, relevance, confidence in the ARCS motivation, see their effect on the learning flow through the satisfaction we analyze empirically. Through this national technical qualifications smart learner's learning by supporting the implicit synchronization of students in learning are the degree of continued use. Therefore, to achieve the objectives of national technical qualifications and skills through a smart learning can contribute to the activation of the development and certification of course industry.
Recently, media art is transforming from analogue to 'digital', and from 2D to '3D'. In particular, the range of utilizing 3D Media Art is getting wider through merging with other genres of contents in the digital environments, such as Media façade, Hologram, Virtual reality, App application, and etc. Therefore, by referring to the 3D award-winning works of Pirx Ars Electronica, which are regarded as the most outstanding works of media art of today, factors that affect sensation of visual immersion have been analyzed, through which strategies for maximizing viewers' interests in media arts and heightening their emotions while viewing have been determined. Based on the findings of the study, it has been shown that such works of media arts that involve development of concepts with 'creativity' and 'variability' from the perspective of visual concept, such as 3D modeling and mapping, with 'consistency' through out all concepts, as well as the works with stronger 'restriction' of concept within its animation and postproduction, attracted more interests from the viewer. From the point of view with visual four steps in composition, positioning the change in quality of 3D 'shape' and 'material' following the four-step rule, and gradual increase of change in quantity within the 'number' and 'size', in addition to increased degree of systematization within the change in editing, such as the 'scene change', resulted in more heightened emotions from the viewer. Thus, in order to maximize sensation of visual immersion, strategies for 'developing 3D visual concepts' while 'synchronizing' them, as well as 'strengthening the four steps within 3D visual composition' while 'systematizing' them should be emphasized.
The purposes of this study are, firstly, to investigate the relationship between the online and mobile game players' psychological aspects (reference group, government regulation, game contents) and their game experience and overindulgence in games and, secondly, to suggest possible ways to reduce overindulgence in games. The implications of this research are as follows; Firstly, families and school authorities should strive to make sports and other pastime activities popular among peer groups rather than allowing online and video games to become only source of popularity among peer groups. Secondly, it is better for families members to establish a set of rules for controlling their children's time spent on online and mobile games rather than entirely forbidding the games. Family members should also strive to have more family conversations and to find a common source of interests. Thirdly, government should strive to develop policy responses to the overindulgence in games based on practical research and analysis. Fourthly, game makers should pay more attention to the components and expressions used in their games so as to draw game players' interests to the story and design of the games. Game makers also need to consider elements in their games that may potentially cause overindulgence in the development stage. Lastly, game players should strive to find new leisure activities besides online and mobile games that they can enjoy and have good experience with.
One of the tasks given to the hotel business is to improve ES(Employee Satisfaction) through educational training for enhancing job efficiency and service quality, not product competition. In the current domestic field, however, ES(Employee Satisfaction) based on appropriate educational training hasn't been established yet. The purpose of this study is to verify the effect of educational training including recognizing the necessity of frequency, the level of lecture conscience, motivation, and internalization along with job commitment. The cohort of women(n=128, 44.4%) and men(n=160, 55.6%) was monitored by the questionnaire data from October 13th to 31st, 2007. It was assessed by (1) the recognition of educational training, (2) educational training practices, (3) organizational identification, (4) brand identification, and (5) job commitment. Statistical analysis was conducted using SPSS (Statistical Package for Social Science), data coding, and the data cleaning system. As a result, it was proved that frequency, the level of lecture conscience, motivation, the recognition of necessity are in proportion to brand identification and organization identification. In addition, identification through educational training can raise the efficiency of job commitment.
The purpose of this study was to identify the effects of an immersive virtual reality-based simulation learning program(IVR-SLP) on the communication competence and learning attitude of students with intellectual disabilities. To do this, 23 participants with intellectual disabilities were selected from 2 special schools. 11 students were placed in an experimental group and 12 students in a control group. An IVR-SLP, focusing on possible situations in a convenience store, was implemented within the experimental group and a traditional intervention program was implemented within the control group. The programs were conducted 5 times per week for 4 weeks and each session lasted approximately 40 minutes. Evaluations were carried out by using a pre- and post- test, and the results of the evaluation were analyzed using the independent t-test. The results of this study indicated that the communication competence of the experimental group showed greater improvement than that of the control group. In addition, the learning attitude of the experimental group became more positive than that of the control group. This implies that the immersive virtual reality-based simulation learning program can be a very effective tool for teaching language and communication skills to students with intellectual disabilities.
Purpose : This study aims to suggest social support composed of organizational support and managerial support would be systematically managed to enhance Disaster Operations Management at Seoul Emergency Operations Center. Method : Emotional labor was used as an independent variable, and organizational commitment was used as a dependent variable to analyze the mediating effects of social support. Results : First, in the aspect of organizational support, the objective evaluation of disaster situation management, disaster situation management emotional labor reduction education and training program development, monitoring of disaster situation management, quality improvement and work imbalance mitigation of firefighters, and emergency coordination managers are needed for systematic work management for emotional labor settlement. Secondly, it is necessary to select competent firefighters in the level of managerial support, to prepare healing measures for structured phased emotional labor for firefighters, and to have counseling competency for managers for emotional labor firefighting officers. Conclusion : In order to improve disaster management ability, education and training programs should be developed to improve organizational commitment based on social support.
This study explored the learning environment for promoting conceptual understanding, immersion, and situational interest in small group learning using augmented reality, according to the level of students' self-regulation. 95 ninth-grade students from a coed high school in Seoul participated in this study. Students were divided into a group of four and each group was randomly assigned to three learning environments that provide one marker and one smart device(1-1), two markers and two smart devices(2-2), and four markers and four smart devices(4-4) for a group. Small group learning using augmented reality was conducted for two class periods about the chemical bonding concept from the Integrated Science subject. Two-way ANOVA results revealed that students in the 4-4 learning environment scored significantly higher than those in the 1-1 or 2-2 learning environment in a conception test. Changes in the learning environment have affected students with a low level of self-regulation. In an immersion test, students in the 4-4 learning environment scored significantly higher than those in the 1-1 learning environment, and changes in the learning environment have affected students with a high level of self-regulation. As a result of situational interest test, students in the 4-4 and 2-2 learning environments scored significantly higher than those in the 1-1 learning environment, and changes in the learning environment have affected students with a low and a high level of self-regulation. Based on the results, the educational implications of the learning environment for promoting conceptual understanding, immersion, and situational interest in small group learning using augmented reality are discussed.
KIPS Transactions on Computer and Communication Systems
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v.11
no.10
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pp.373-380
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2022
This paper presents a deep learning based group synchronization that supports networked immersive interactions between remote users. The goal of group synchronization is to enable all participants to synchronously interact with others for increasing user presence Most previous methods focus on NTP-based clock synchronization to enhance time accuracy. Moving average filters are used to control media playout time on the synchronization server. As an example, the exponentially weighted moving average(EWMA) would be able to track and estimate accurate playout time if the changes in input data are not significant. However it needs more time to be stable for any given change over time due to codec and system loads or fluctuations in network status. To tackle this problem, this work proposes the Deep Group Synchronization(DeepGroupSync), a group synchronization based on deep learning that models important features from the data. This model consists of two Gated Recurrent Unit(GRU) layers and one fully-connected layer, which predicts an optimal playout time by utilizing the sequential playout delays. The experiments are conducted with an existing method that uses the EWMA and the proposed method that uses the DeepGroupSync. The results show that the proposed method are more robust against unpredictable or rapid network condition changes than the existing method.
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