• Title/Summary/Keyword: Cognitive task

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Deep Learning Model for Mental Fatigue Discrimination System based on EEG (뇌파기반 정신적 피로 판별을 위한 딥러닝 모델)

  • Seo, Ssang-Hee
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.295-301
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    • 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.

Dysfunctional Social Reinforcement Processing in Disruptive Behavior Disorders: An Functional Magnetic Resonance Imaging Study

  • Hwang, Soonjo;Meffert, Harma;VanTieghem, Michelle R.;Sinclair, Stephen;Bookheimer, Susan Y.;Vaughan, Brigette;Blair, R.J.R.
    • Clinical Psychopharmacology and Neuroscience
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    • v.16 no.4
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    • pp.449-460
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    • 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.

The Effects of Middle School Students' Reading Methods and Self-Efficacy on Career Maturity (중학생의 독서방법, 자기효능감이 진로성숙에 미치는 영향)

  • Chun, Jeeyeon;Kim, Giyeong
    • Journal of the Korean Society for information Management
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    • v.38 no.2
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    • pp.129-152
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    • 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.

Applying a Novel Neuroscience Mining (NSM) Method to fNIRS Dataset for Predicting the Business Problem Solving Creativity: Emphasis on Combining CNN, BiLSTM, and Attention Network

  • Kim, Kyu Sung;Kim, Min Gyeong;Lee, Kun Chang
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.8
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    • pp.1-7
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    • 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.

Learning a Foreign Language Using Information Technologies for Comfortable Implementation of the Professional Position of a Future Specialist in a Foreign Language Environment

  • Postolenko, Iryna;Biletska, Iryna;Kmit', Olena;Paltseva, Valentyna;Mykhailenko, Olena;Yatsyna, Svitlana;Kuchai, Tetiana
    • International Journal of Computer Science & Network Security
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    • v.22 no.11
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    • pp.63-70
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    • 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.

Influences of Motivational Climate, Achievement Goals, and Learning Strategies on Science Achievement (동기적 학습 환경, 성취 목적, 학습 전략이 과학 성취도에 미치는 영향)

  • Noh, Tae-Hee;Kim, Kyung-Sun;Park, Hyun-Ju;Jeon, Kyung-Moon
    • Journal of The Korean Association For Science Education
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    • v.26 no.2
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    • pp.232-238
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    • 2006
  • This study examined how motivational climate, achievement goals, and learning strategies jointly contributed to science achievement through path analysis of 260 middle school students. The results showed that only deep learning strategy had a significant direct effect on science achievement. The promotion of learning by science teachers and the pursuit of progress by peers had the mediational pathways linking task goal and deep learning strategy on science achievement. The pursuit of progress and the promotion of the comparison by peers influenced science achievement via deep learning strategy. The promotion of the comparison by peers also influenced deep learning strategy via performance-goal, which in turn influenced science achievement. These results indicated that the learning strategies had a direct effect and motivational climate or achievement goals had an indirect effect on science achievement. Our findings lead us to expect that the effective instructional method to improve students' science achievement is the one that impact both cognitive and motivational functioning.

Practices for Readiness of Future Specialists for Professional Self-Determination in the Information Society

  • Olena Kochubei;Mykola Dubinka;Inna Knysh;Ihor Poliakov;Olga Tsokur;Vasyl Tiahur;Oleksandr Kuchai
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.129-136
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    • 2023
  • Professional self-determination of the individual is a complex and lengthy process of finding and realizing yourself in the profession. The main goal of professional self-determination is clarified. The basic concepts of readiness for professional self-determination of future specialists in the modern information society are revealed. The following approaches to the consideration of the concept of readiness are defined: functional-psychological, personal, activity-based. Based on the components of readiness identified by the researchers, it can be assumed that the structure of professional self-determination of the future specialist contains motivational, cognitive and activity components. Self-determination is defined as a multidimensional process that can be considered from different points of view: as a series of tasks, that society sets for the emerging individual, and which the individual must solve in a certain period. As a process of step-by-step decision-making, with the help of which the individual forms a balance between his desires and inclinations, on the one hand, and the needs of society, on the other; as a process of forming an individual lifestyle, part of which is professional activity. A number of tasks of professional self-determination of a future specialist in the information society are formulated. Diagnostic practices for determining the degree of readiness of future specialists for future professional success are characterized. Practices are developed as a basis for creating an individually oriented correctional and development program to promote the formation of future specialists' focus on future professional success. Their task is to ensure control over the dynamics of this process, assess the effectiveness of this career guidance work. Practices are aimed at identifying the degree of thorough knowledge of the conditions for achieving professional success in the chosen field of activity among future specialists.

The Effect of Job Crafting on Career Satisfaction and Job Satisfaction - Mediating Effect of Person-Job fit - (잡 크래프팅(Job Crafting)이 경력만족 및 직무만족에 미치는 영향 - 개인-직무 적합성의 매개효과 -)

  • Hyeryeon An;Sunhwa Kwag
    • Journal of East Asia Management
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    • v.4 no.2
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    • pp.63-92
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    • 2023
  • This study analyzes the effect of job crafting behavior on career satisfaction and job satisfaction that allows active participants to perform their jobs in a work environment where autonomy and delegation are emphasized, and how the degree of person-job fit plays a role in the relationship between the three variables. The results of an empirical analysis of 360 employees of domestic companies are as follows. First, job crafting was found to have a positive (+) effect on career satisfaction and job satisfaction, respectively, confirming the importance of job crafting in a situation where the work environment changes rapidly. Second, job crafting was found to have a positive (+) effect on desire-supply fit and ability-demand fit, respectively, which are components of person-job fit. This means that person-job fit can be improved through task, cognitive, and relationship crafting. Third, it was found that desire-supply fit and ability-demand fit had a positive (+) effect on career satisfaction and job satisfaction. This means that the higher the person-job fit the more satisfied the career and job. Finally, desire-supply fit has a partial mediating effect in the relationship between job crafting, career satisfaction, and job satisfaction and ability-demand fit has a partial mediating effect in the relationship between job crafting, job satisfaction. In summarizing the above research results, this study suggested in a changing organizational environment that it is necessary to provide individual active work performance (job crafting) opportunities for career satisfaction and job satisfaction, and that it is important to create an organization's support environment to enhance person-job fit.

Study on the Neural Network for Handwritten Hangul Syllabic Character Recognition (수정된 Neocognitron을 사용한 필기체 한글인식)

  • 김은진;백종현
    • Korean Journal of Cognitive Science
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    • v.3 no.1
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    • pp.61-78
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    • 1991
  • This paper descibes the study of application of a modified Neocognitron model with backward path for the recognition of Hangul(Korean) syllabic characters. In this original report, Fukushima demonstrated that Neocognitron can recognize hand written numerical characters of $19{\times}19$ size. This version accepts $61{\times}61$ images of handwritten Hangul syllabic characters or a part thereof with a mouse or with a scanner. It consists of an input layer and 3 pairs of Uc layers. The last Uc layer of this version, recognition layer, consists of 24 planes of $5{\times}5$ cells which tell us the identity of a grapheme receiving attention at one time and its relative position in the input layer respectively. It has been trained 10 simple vowel graphemes and 14 simple consonant graphemes and their spatial features. Some patterns which are not easily trained have been trained more extrensively. The trained nerwork which can classify indivisual graphemes with possible deformation, noise, size variance, transformation or retation wre then used to recongnize Korean syllabic characters using its selective attention mechanism for image segmentation task within a syllabic characters. On initial sample tests on input characters our model could recognize correctly up to 79%of the various test patterns of handwritten Korean syllabic charactes. The results of this study indeed show Neocognitron as a powerful model to reconginze deformed handwritten charavters with big size characters set via segmenting its input images as recognizable parts. The same approach may be applied to the recogition of chinese characters, which are much complex both in its structures and its graphemes. But processing time appears to be the bottleneck before it can be implemented. Special hardware such as neural chip appear to be an essestial prerquisite for the practical use of the model. Further work is required before enabling the model to recognize Korean syllabic characters consisting of complex vowels and complex consonants. Correct recognition of the neighboring area between two simple graphemes would become more critical for this task.

The Effect of Invisible Cue on Change Detection Performance: using Continuous Flash Suppression (시각적으로 자각되지 않는 단서자극이 변화 탐지 수행에 미치는 효과: 연속 플래시 억제를 사용하여)

  • Park, Hyeonggyu;Byoun, Shinchul;Kwak, Ho-Wan
    • Korean Journal of Cognitive Science
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    • v.27 no.1
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    • pp.1-25
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    • 2016
  • The present study investigated the effect size of attention and consciousness on change detection. We confirmed the effect size of consciousness by comparing the condition which combined attention and consciousness and the condition of attention without consciousness. Then, we confirmed the effect size of attention by comparing the condition of attention without consciousness and the control condition which excluded attention and consciousness. For this purpose, change detection task and continuous flash suppression (CFS) were used. CFS renders a highly visible image invisible. In CFS, one eye is presented with a static stimulus, while the other eye is presented with a series of rapidly changing stimuli, such as mondrian patterns. The result is that the static stimulus becomes suppressed from conscious awareness by the stimuli presented in the other eye. We used a customized device with smartphone and google cardboard instead of stereoscope to trigger CFS. In Experiment 1-1, we reenacted some study to validate our experimental setup. Our experimental setup produced the duration of stimulus suppression that were similar to those of preceding research. In Experiment 1-2, we reenacted a study for attention without consciousness using an customized device. The results showed that attention without consciousness more strongly work as a cue. We think that it is reasonable to use CFS treatment employing smartphone and google cardboard for a follow-up study. In Experiment 2, when performing the change detection task, we measured the effect size of consciousness and attention by manipulating the consciousness level of cue. We used the method in which everything but the variable of interest kept being fixed. That way, the difference this independent variable makes to the action of the entire system can be isolated. We found that there was significant difference of correct response rate on change detection performance among different consciousness level of cue. In this study, we investigated that not only the role of attention and consciousness were different also we were able to estimated the effect size.

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