• Korean Journal of School Psychology
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• v.16 no.2
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• pp.207-230
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• 2019

This study examined the effect of Attention Feedback Awareness and Control Training(A-FACT) on attention bias and generalized anxiety symptoms in college students. A total of 31 college students with at least 10 points on the Generalized Anxiety Disorder 7-item (GAD-7) scale or at least 56 points on the Korean version of the Penn State Worry Questionnaire (K-PSWQ) with attention bias were randomly assigned to one of three groups: A-FACT( n = 11), Attention Bias Modification (ABM)(n = 10) and Active Placebo Control (APC)(n = 10). Participants in A-FACT group received real-time feedback on attention bias based on their Baseline Neutral Response time(BNR) during A-FACT using a dot probe task. Participants in the ABM group received standard ABM, and those in the APC performed a dot probe task that they were informed was a program to reduce attention bias, but feedback was not provided. A total of eight sessions was conducted twice a week over a 4-week period. After every two sessions, GAD-7, K-PSWQ and K-STAI were rated. The effect of attention bias modification training was rated by changes in the Attention Bias Score(ABS), and in GAD-7, K-PSWQ and K-STAI scores. The results of repeated measure ANOVA indicated that the A-FACT group showed a significant decrease in ABS as well as in GAD-7, K-PSWQ and K-STAI scores compared to the other groups. Current results suggest that self-regulatory control of attention, that is, recognition of bias through feedback in A-FACT, may be effective in alleviating attention bias and generalized anxiety symptoms by recognizing bias through feedback on bias in attention bias modification training.

• Journal of Gifted/Talented Education
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• v.20 no.3
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• pp.967-984
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• 2010

This study purposed to examine the effects of the Feuerstein's cognitive mediated learning for gifted children on attention control and attention shift. For the study, 40 gifted students were chosen from the 3rd graders in elementary schools and divided into test and control groups using K-WISC-III and Torrance Tests of Creative Thinking. The mediated learning program that is targeted to improve the executive functions of gifted children has used the tools of Organization of Dots, Analytic Perception and Comparisons among Feuerstein's Instrumental Enrichment(FIE). According to the results of this study, a significant improvement has been observed in selective attention, self-control, sustained attention, and attention shift through cognitive mediated learning. Therefore, it has been proven that the cognitive mediated learning is effective in reducing gifted children's problematic behaviors that are caused by a lack of attention control and attention shift and improving their cognitive functions and potentials.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.197-205
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• 2012

Purpose: This study aimed to demonstrate correlations among self-regulated learning, attention control and Yangseng, to clarify any differences depending on general characteristics and ultimately to understand factors affecting self-regulated learning of undergraduates. Methods: Data were collected for a month from April 1st, 2011. A total of 438 undergraduate nursing students of two universities in Chungbuk and Chungnam were surveyed by using a questionnaire about self-regulated learning, attention control and Yangseng. Results: Self-regulated learning of the subjects showed statistically significant correlations with their attention control (r=.302, p=.001) and Yangseng (r=.292, p=.001). In addition, self-regulated learning could be explained by attention control (${\beta}$=3.648, p=.001), Yangseng (${\beta}$=3.645, p=.001), perceived academic achievement levels (${\beta}$=.124, p=.018), or eating breakfast (${\beta}$=.102, p=.027). In the model, the variables explained self-regulated learning by 19.0%. Conclusion: Nursing instructors should encourage undergraduate nursing students to enhance their attention control so that they can improve their self-regulated learning abilities, which will eventually develop their problem solving skills. In addition, it was shown that self-regulated learning correlates with yangseng including eating a regular breakfast. Maintaining a desirable lifestyle is also essential for students to succeed in self-regulated learning.

• Journal of Oriental Neuropsychiatry
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• v.23 no.2
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• pp.49-58
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• 2012

Objectives : The purpose of this study is to examine the effects of Mindfulness-based concentration qigong for children (MBCQ-C) in healthy children with subjective poor attention. Methods : This study examined the effects of MBCQ-C on healthy children with subjective poor attention, who vistied Korean medicine hospital neuropsychiatry outpatient clinic. The MBCQ-C was practiced with 11 participants, 2 of them quit in the middle of the program, and hence, they were excluded for data analysis. MBCQ-C consisted of 8 sessions, and each session took about 60 minutes. The outcome measurement was Frankfurter Aufmerksamkeits-Inventar (FAIR), which measured selective attention, self-control and sustained attention. Results : The results of this study showed that selective attention, and sustained attention were significantly improved. Self-control also improved, but without any statistical significance. These results indicate MBCQ-C was effective for the improvement of attention abilities, but self-control, including upper cognition area needs more consistent exercise. Conclusions : The MBCQ-C consisting of 8 sessions were shown to be an effective intervention in improving the attention abilities of healthy children with subjective poor attention.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.8
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• pp.3791-3805
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• 2016

The visual attention mechanism includes 2 attention models, the bottom-up (B-U) and the top-down (T-D), the physiology of which have not yet been accurately described. In this paper, the visual attention mechanism is regarded as a Bayesian fusion process, and a visual attention model based on particle filter is proposed. Under certain particular assumed conditions, a calculation formula of Bayesian posterior probability is deduced. The visual attention fusion process based on the particle filter is realized through importance sampling, particle weight updating, and resampling, and visual attention is finally determined by the particle distribution state. The test results of multigroup images show that the calculation result of this model has better subjective and objective effects than that of other models.

• Korean Journal of Biological Psychiatry
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• v.4 no.1
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• pp.19-23
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• 1997

Attention is a phenomenon hard to define, but can be conceptualized as a mental function ranging from sustaining readiness to perceive stimuli to understanding the nature and value and selecting stimuli that are most relevant to the given situation. Manifestations of attention include vigilance, and focused, directed, selective, divided, and sustained attentions. While basic attentional tone is controlled by the interaction among reticular activating system, thalamus and prefrontal cortex, direction and selection of attention is controlled by neural circuits of prefrontal, posterior parietal, and limbic cortex. It is expected that understanding of attention and its neural control could provide answers to the relationship between pathophysiology and clinical symptoms of some major psychiatric disorders. More efforts are required to develop tools to assess more detailed and various aspects of attention in Korea.

• Journal of the Korean Society of School Health
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• v.23 no.2
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• pp.237-245
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• 2010

Purpose: The purpose of this thesis was to examine the effects of social skills training program onto the children with tendency of attention-deficit hyperactivity disorder. Methods: This study used nonequivalent control group pre/post-test quasi-experimental research design. The subjects were 18 children with tendency of attention- deficit hyperactivity in D City. The subjects were divided into two groups, an experimental group of 8 children and a control group of 10. The program consisted of 20 sessions of 60 minutes per session, 5 days a weeks, for 4 weeks. The research tools included Conner's Teacher Rating Scales (CTRS) and Social Skills Rating System (SSRS). The collected data were analyzed using $x^2$ test, Mann-Whitney test on the SPSS 17.0 program. Results: a) the scores for cooperation, self-assertiveness, self-control and empathy increased significantly in the experimental group, compared to the control group. b) the scores for social skills increased significantly in the experimental group, compared to the control group. Conclusion: It appears that the social skills training program is a useful nursing intervention to improve the social skills for children with tendency of attention-deficit hyperactivity.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.183-192
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• 2021

Purpose : To investigate the degree of smartphone addiction among health-related college students, and to compare and analyze the effect of the degree of addiction on attention control and interpersonal support. Methods : 184 people who voluntarily participated and agreed to fill out the questionnaire were randomly sampled. The smartphone self-diagnosis scale was used to measure the degree of smartphone addiction, and the Attentional Control Questionnaire (ACQ) was used as a tool to measure the degree of attention control. In addition, the Interpersonal Support Evaluation List (ISEL) was used to measure the degree of interpersonal support. Results : In comparison of the degree of smartphone addiction according to the general characteristics of the subjects, there was no significant difference according to religion, major, and grade, but there was a significant difference in gender and daily use time of smartphones (p <.05). There was a significant difference in the degree of attention control according to the level of smartphone addiction (high risk, potential risk, general user group) (p <.05), but there was no significant difference in the degree of interpersonal support. Conclusion : The degree of smartphone addiction was relatively higher for women than for men, and users who used it for a long time per day were more addicted. It also showed that attention control was further reduced in highly addictive users.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.242-252
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• 2021

Following the intuition that the local information in time instances is hardly incorporated into the posterior sequence in long short-term memory (LSTM), this paper proposes an attention augmented mechanism for fault diagnosis of the complex chemical process data. Unlike conventional fault diagnosis and classification methods, an attention mechanism layer architecture is introduced to detect and focus on local temporal information. The augmented deep network results preserve each local instance's importance and contribution and allow the interpretable feature representation and classification simultaneously. The comprehensive comparative analyses demonstrate that the developed model has a high-quality fault classification rate of 95.49%, on average. The results are comparable to those obtained using various other techniques for the Tennessee Eastman benchmark process.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.721-739
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• 2023

Rating prediction is an important issue in recommender systems, and its accuracy affects the experience of the user and the revenue of the company. Traditional recommender systems use Factorization Machinesfor rating predictions and each feature is selected with the same weight. Thus, there are problems with inaccurate ratings and limited data representation. This study proposes a deep recommendation model based on self-attention Factorization (SAFMR) to solve these problems. This model uses Convolutional Neural Networks to extract features from user and item reviews. The obtained features are fed into self-attention mechanism Factorization Machines, where the self-attention network automatically learns the dependencies of the features and distinguishes the weights of the different features, thereby reducing the prediction error. The model was experimentally evaluated using six classes of dataset. We compared MSE, NDCG and time for several real datasets. The experiment demonstrated that the SAFMR model achieved excellent rating prediction results and recommendation correlations, thereby verifying the effectiveness of the model.