• Journal of Korea Game Society
• /
• v.15 no.4
• /
• pp.121-132
• /
• 2015

This study suggests a design for an analytical software program and method for multitasking e-sports viewing through the web using an eye tracking device. To fulfill this task, we designed a Window of Interest (WOI) to measure and record visually on a screen wherever numerous multitasking activities occur. In addition, we developed an OBS (Opensource Broadcaster Software) plug-in that records and streams participant viewing behavior patterns in real time. The purpose of this study is as follows. First, unlike existing tools that limit web interface recording to still images, the developed tool can record dynamically via media such as videos. Second, when several windows are processed on a screen, the tool can accurately record the gaze positions of the participants. Lastly, the tool can enhance the objective validity of the data as it can be implemented in natural situations. Therefore, this study can trace natural viewing patterns and behavior as we do not create artificial experimental environments and stimuli.

• Journal of Service Research and Studies
• /
• v.4 no.1
• /
• pp.49-59
• /
• 2014

Context-aware computing is an emerging paradigm to achieve ubiquitous computing environments by enabling computer systems to understand their situational contexts. A context-aware system uses context to provide relevant information and services to the user depending on the user's task. In this paper, we propose an ontology-based context-aware modeling methodology that transmits low-level contexts acquired by directly accessing various sensors in the physical environments to high-level contexts. With these high-level contexts, context-aware application can provides proactive and intelligent services using ECA (Event-Condition-Action) rules. We implemented a home robot service in smart office environment.

• Journal of Preventive Medicine and Public Health
• /
• v.37 no.3
• /
• pp.282-291
• /
• 2004

Objectives : The aim of this study was to investigate the functional status variables related to the care time of health professionals for patients in long-term care facilities. Methods : The functional stati of 1001 patients in 8 long-term care hospitals were examined by the Resident Assessment Instrument for Long-term Care Facility Version 2.0. The care time of health professionals for patients was calculated using data from a self-reported task survey by nurses, auxiliary nurses, private aides, doctors, physiotherapists and social workers. Results : The average care time per diem was 240.6 minutes. The care time by doctors, nurses and private aides were 11.0, 71.0 and 139.5 minutes, respectively. The lower the function of activities of daily living (ADL) and the greater the symptoms of extensive services, special care and clinical complexity, the more care time was served. On the contrary, the greater the symptoms of nursing rehabilitation, depression, cognitive disorder, behavior problem and psychiatry/mood disorder, the less care time was served. Age and gender were not significantly related to the care time. Conclusions : Developing a case mix classification system for elderly long term care patients may be helpful for both of patients and health care providers. The ADL, extensive services, special care and clinical complexity of variables should be considered in the development of a case mix system for the long term care of patients in Korea.

• Journal of the Korea Convergence Society
• /
• v.11 no.3
• /
• pp.187-194
• /
• 2020

This paper is a study to improve the usability due to the commercialization of open source-based knitting machines. Based on the analysis, FGD was conducted to derive considerations and to evaluate the evaluation factors based on the derived contents. Based on the evaluation principles derived, tasks were created for each UI (user interface) situation to measure execution time and error frequency. The analysis results show that model C has the highest user-friendliness in terms of learning, conciseness, cognitive fitness, convenience, state maintainability, and intuition. Ease of use will be improved.

• Journal of Korean Philosophical Society
• /
• v.137
• /
• pp.1-31
• /
• 2016

The aim of this paper is to put forward the significance that Dewey's naturalistic theory of value has today in examining how value arises from experience. This is a necessary discussion as logical-positivists bring about the problem of fact/value dichotomy and further deny the possibility of intellectual discussion on value judgments. In this situation, the task that the discussion on value must be resolved is to go beyond the problem of fact/value dichotomy and to confer objectivity upon value judgments. In the stream of analytic philosophy, the significance of Dewey's theory of value is revealed by how Putnam and Johnson receive it. To overcome the problem of dichotomy, Putnam asserts that they are entangled because the value arises from a criticism through scientific inquiry. Also Johnson proves that Dewey's moral deliberation as valuation is wedded with cognition, feeling, and imagination by the research on cognitive science and shows that Dewey's theory of value is un-relativistic because it is on the basis of shared experience. So, if the absolute value is not given to us, Dewey's theory of value shows us how value is made by open inquiry. It has the significance of proposing the direction that the theory of value orients itself today.

• Journal of Digital Convergence
• /
• v.19 no.10
• /
• pp.295-301
• /
• 2021

Individual mental fatigue not only reduces cognitive ability and work performance, but also becomes a major factor in large and small accidents occurring in daily life. In this paper, a CNN model for EEG-based mental fatigue discrimination was proposed. To this end, EEG in the resting state and task state were collected and applied to the proposed CNN model, and then the model performance was analyzed. All subjects who participated in the experiment were right-handed male students attending university, with and average age of 25.5 years. Spectral analysis was performed on the measured EEG in each state, and the performance of the CNN model was compared and analyzed using the raw EEG, absolute power, and relative power as input data of the CNN model. As a result, the relative power of the occipital lobe position in the alpha band showed the best performance. The model accuracy is 85.6% for training data, 78.5% for validation, and 95.7% for test data. The proposed model can be applied to the development of an automated system for mental fatigue detection.

• Clinical Psychopharmacology and Neuroscience
• /
• v.16 no.4
• /
• pp.449-460
• /
• 2018

Objective: Prior functional magnetic resonance imaging (fMRI) work has revealed that children/adolescents with disruptive behavior disorders (DBDs) show dysfunctional reward/non-reward processing of non-social reinforcements in the context of instrumental learning tasks. Neural responsiveness to social reinforcements during instrumental learning, despite the importance of this for socialization, has not yet been previously investigated. Methods: Twenty-nine healthy children/adolescents and 19 children/adolescents with DBDs performed the fMRI social/non-social reinforcement learning task. Participants responded to random fractal image stimuli and received social and non-social rewards/non-rewards according to their accuracy. Results: Children/adolescents with DBDs showed significantly reduced responses within the caudate and posterior cingulate cortex (PCC) to non-social (financial) rewards and social non-rewards (the distress of others). Connectivity analyses revealed that children/adolescents with DBDs have decreased positive functional connectivity between the ventral striatum (VST) and the ventromedial prefrontal cortex (vmPFC) seeds and the lateral frontal cortex in response to reward relative to non-reward, irrespective of its sociality. In addition, they showed decreased positive connectivity between the vmPFC seed and the amygdala in response to non-reward relative to reward. Conclusion: These data indicate compromised reinforcement processing of both non-social rewards and social non-rewards in children/adolescents with DBDs within core regions for instrumental learning and reinforcement-based decision-making (caudate and PCC). In addition, children/adolescents with DBDs show dysfunctional interactions between the VST, vmPFC, and lateral frontal cortex in response to rewarded instrumental actions potentially reflecting disruptions in attention to rewarded stimuli.

• Journal of the Korean Society for information Management
• /
• v.38 no.2
• /
• pp.129-152
• /
• 2021

Regardless of previous educational attempts in youth career education, there are not specific methods for reading to improve career maturity yet. This study aims to identify the reading method based on cognitive aspect which impacts career maturity and the mediation effect of self-efficacy in this process. This study tries to understand the roles of reading by applying the various reading methods suggested in the 2015 Revised National Curriculum. Data was collected through interviews and statistical analysis from a survey completed by middle school students. Findings showed that critical reading affected the decisiveness as well as the confidence of career maturity. Also, emotional reading and creative reading influenced the preparation of career maturity. Critical reading impacted all subvariables of self-efficacy - confidence, self-regulating efficacy, and task difficulty preference. Findings also showed that emotional reading affected self-regulating efficacy. Ultimately, the confidence of self-efficacy partly mediated critical reading and decisiveness. This study contributes to guiding reading instructions for practitioners and school curriculums to develop career maturity and self-efficacy.

• Journal of the Korea Society of Computer and Information
• /
• v.27 no.8
• /
• pp.1-7
• /
• 2022

With the development of artificial intelligence, efforts to incorporate neuroscience mining with AI have increased. Neuroscience mining, also known as NSM, expands on this concept by combining computational neuroscience and business analytics. Using fNIRS (functional near-infrared spectroscopy)-based experiment dataset, we have investigated the potential of NSM in the context of the BPSC (business problem-solving creativity) prediction. Although BPSC is regarded as an essential business differentiator and a difficult cognitive resource to imitate, measuring it is a challenging task. In the context of NSM, appropriate methods for assessing and predicting BPSC are still in their infancy. In this sense, we propose a novel NSM method that systematically combines CNN, BiLSTM, and attention network for the sake of enhancing the BPSC prediction performance significantly. We utilized a dataset containing over 150 thousand fNIRS-measured data points to evaluate the validity of our proposed NSM method. Empirical evidence demonstrates that the proposed NSM method reveals the most robust performance when compared to benchmarking methods.

• International Journal of Computer Science & Network Security
• /
• v.22 no.11
• /
• pp.63-70
• /
• 2022

At the present stage, the main directions of the professional position of a specialist in the implementation of English-language Education are to improve and spread the practice of learning languages throughout a person's life by involving information, communication and digital technologies in the educational process. Computerization of the educational process in Higher Education Institutions is considered as one of the first and most promising areas for improving the quality of education in Higher Education Institutions. The necessity of ensuring timely training and retraining of specialists of various profiles (in particular teachers) on the effective use of domestic and foreign electronic resources with the help of modern information technologies for the implementation of the professional position of a future specialist in a foreign-language environment is noted. The main goal of teaching a foreign language (the formation of students' communicative competence, which means mastering the language as a means of intercultural communication) is defined. The types of speech activity that cover the content of teaching a foreign language are highlighted. The main types of assessment in a foreign language are shown - current (non-classroom), thematic, semester, annual assessment and final state certification. The task of the teacher is drawn, which is to create conditions for practical language acquisition for each student, to choose such teaching methods by means of information technologies that would allow each student to show their activity, their creativity; to activate the cognitive activity of the student in the process of learning a foreign language.