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- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
Vol.15 No.1
Abstract
Since the VR market is expected to have a high growth, this study aimed to investigate the human factor-related determinants of user satisfaction with mobile VR headsets. A pre-study of customer reviews was conducted with the help of semantic network analysis to identify the core keywords for understanding negative and positive predictors of mobile VR headset experiences. Through laboratory testing with three different commercial models, the main study measured and identified the predictors of user satisfaction. From the results, five factors were extracted as valid predictor variables and used for regression analysis. These factors were immersion, VR sickness, usability, wear-ability and menu navigation interface. All the five predictors were proved to be significant determinants of the perceived user satisfaction with mobile VR headsets. Usability was the strongest predictor, followed by VR sickness and wear-ability. Practical and theoretical implications of the results were discussed
Abstract
This study applied network agenda-setting theory to analyze the impact of the agenda-setting function of the media on certain issues by focusing on the agenda at the center of controversy, ‘Creative Economy’. To this end, the study extracted the data referred to creative economy in the media and SNS from 1 January 2008 to 31 December 2014, and analyzed the data using the network analysis program UCINET and the Korean language analysis program Textom. The results of the present study show that, during the period under former President Lee (2008-2011), the media’s creative economy agenda-setting function did not exert a significant impact on the agenda-setting within SNS. However, from 2012 when the government of former President Park Geun-hye had started, the agenda-setting function of the media starts to show increasingly strong influence on the agenda cognition in SNS. The central words and sub-words configuration forming the center of the semantic network moved in the direction of a high correlation, in addition to the gradually increasing correlation based on QAP correlation analysis. In 2014, the semantic networks of the media and SNS bore a close resemblance to each other, while the shape of networks and sub-words structure also had a high level of similarity.
Abstract
Personality, especially neuroticism has been found related to be related with poor sleep quality. This study focused on emotion regulation, reappraisal and suppression, which can buffer or aggravate the effect of neuroticism influencing sleep quality. One hundred and forty two ordinary adults were used in this study and were recruited and required to complete a package of questionnaires including: the Eysenck personality Questionnaire/EPQ, the Emotion Regulation Questionnaire/ERQ, and the Pittsburgh Sleep Quality Index/PSQI. The result was that participants with higher neuroticism had poorer sleep qualities than those with lower neuroticism. Moreover, participants that had high neuroticism and high reappraisal had better sleep qualities. This means that there was an interaction effect of neuroticism and reappraisal on sleep quality. However, suppression did not have a moderating effect on the relation between neuroticism and sleep quality. These findings inferred that reappraisal plays an important moderating role (buffering effect) on the relationship between neuroticism and sleep quality. Reappraisal cannot only prevent people high in neuroticism from sleep problems but can also buffer symptoms of sleep disorder by treating patient's negative emotions.
Abstract
In an environment where a large number of weapons are operated compared to a large number of ground targets, it is important to monitor and manage the targets to set up a fire plan, and through their multilateral analysis, to equip them with a priority order process for targets having a high threat level through the quantitative calculation of the threat level. Existing studies consider the anti-aircraft and anti-ship targets only, hence, it is impossible to apply the existing algorithm to ground weapon system development. Therefore, we proposed an effective threat evaluation algorithm for multiple ground targets in multi-target and multi-weapon environments. Our algorithm optimizes to multiple ground targets by use of unique ground target features such as proximity degree, sorts of weapons and protected assets, target types, relative importance of the weapons and protected assets, etc. Therefore, it is possible to maximize an engagement effect by deducing an effective threat evaluation model by considering the characteristics of ground targets comprehensively. We carried out performance evaluation and verification through simulations and visualizations, and confirmed high utility and effect of our algorithm.
Abstract
Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients’ speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.
Abstract
The purpose of this research is to evaluate teachers’ perception of Korean’s achievement standard-based testing system (ASTS) and its process of implementation, and to propose a method of evaluating students’ academic aptitude based on university entrance examinations. The core of the 2015 Revised National Curriculum is asserted by changes in classroom instruction, specifically encouraging students’ participation in class based on a new method to evaluate student achievement. A total of 124 teachers in charge of student career counseling in middle and high schools in the Jeonbuk province participated in the study. The schools implementing the new method of ASTS were using 61.6% for unit school cut-off point, as opposed to the existing fixed cut-off point of 38.4%. The teachers understanding of the achievement evaluation method was rated 3.54 on the 5-point Likert scale, implying that they had a relatively good understanding of the method. Some of the challenges associated with reflecting the scores from the new student ASTS include difficulty of comparing scores across schools; grade inflation; advantages and disadvantages associated with the type of high school; and the increased importance of university entrance examination. In the ASTS, the fairness during the evaluation of the high school grades and the consequently the reliability of the evaluation prove worrying. As an ultimate result, selecting students based on university admissions data became untrustworthy. There should be further discussions on how students' achievement obtained from the new ASTS should be applied during the university admission process and how students’ academic aptitude can be assessed in order to set a direction for secondary school education.
Abstract
The objective of this study was to explore a specific method and strategy for ‘Global Leadership Program Model’ in order to enhance global leadership, which will emphasize the aspect of open mind and attitude toward diversity, cross-culture, communication, and global manner. This research explored the concept and characteristics of global leadership and competency based education, and analyzed effectiveness of satisfaction and participation on global leadership programs implemented in K University and analyzed the learners’ recognition on the experience. Also, the research integrated the values of global leadership with the strategies of competency-based education, and finally developed ‘Global Leadership Program Model’. As a result, ‘Global Leadership Program Model’ might be able to help students use knowledge and skill in various contexts, and serve in the community with responsibility. It is expected that students could be facilitated to perform task and role communicating with others, and they might know exactly what learning outcome they are required to establish and what standard is used to evaluate the performance, so that this environment might motivate them and encourage them to follow the learning process more effectively.