• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.11
• /
• pp.628-636
• /
• 2017

This study was conducted to analyze the effects of parents' self-esteem on preschool aged children's emotional responses and attention, mediated by their self-esteem, utilizing data from the 7th Panel Study of Korean Children. This study analyzed the main survey of the 7th year survey of the Panel Study on Korean Children and 1383 families from which both parents participated in the survey (1383 couples of parents and 1383 children). The results revealed that mother's self-esteem had a direct effect on children's self-esteem and that children's self-esteem had direct effects on their emotional responses and attention. Mother's self-esteem also had direct effects on children's emotional responses and attention, as well as indirect effects on their emotional responsiveness and attention, and these effects were mediated by parents' self-esteem. Overall, the study revealed the impact of parents' self-esteem on children's emotional responsiveness and attention and provided basic data for the development of an education program for preschool aged children and parents. Thus, it is necessary to develop educational programs to improve preschool aged children's self-esteem and to develop a program for the formation and maintenance of mother's positive self-esteem.

• Journal of The Korean Association of Information Education
• /
• v.14 no.4
• /
• pp.605-617
• /
• 2010

In this paper, in order to improve concentration of learning disorder students, m-ARCS model is proposed. The m-ARCS model is based on the ARCS model that is the existing representative motivation support model. The model is designed on mobile environment, and to provide motivation and concentration to learning disorder students by allowing students to engage in various real-life activities. Based on the proposed m-ARCS model, a mobile anchor program is designed and implemented. The followings are concluded after applying the mobile anchor program to learning disorder students. First, students are highly motivated and concentrated by the program. Second, students gain confidence by feeling of success during their study. Third, their basic study ability is improved via the mobile anchor program activities

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.2
• /
• pp.119-125
• /
• 2024

This paper investigates the effect of an artificial intelligence attention redirection compensation strategy system on the data labeling work attention concentration by individuals with developmental disabilities. Task accuracy and task performance for each session were used as measures of attention concentration. As a result of the study, after the intervention was applied, a significant improvement in attention concentration was observed in all study subjects compared to self-serving task. These results mean that artificial intelligence technology can have a positive effect on improving the attention span of people with developmental disabilities during data labeling tasks. This study shows that the application of artificial intelligence technology can improve the quality of learning data by improving the accuracy of data labeling tasks for people with developmental disabilities, and is expected to provide important implications for vocational training programs related to data labeling for people with developmental disabilities.

• Journal of Digital Convergence
• /
• v.18 no.2
• /
• pp.175-182
• /
• 2020

The study aims to verify the effects of volleyball programs on the fitness and attention-intensive abilities of students with intellectual disabilities in middle school. Physical strength and attention concentration were analyzed to verify the effectiveness of the volleyball program. The volleyball program was applied to the experimental group three times a week, 90 minutes a week, a total of 36 times for 12 weeks. To verify the effectiveness of physical strength and attention concentration, the PPS-D intellectual disability student test and ATA concentration test were used to verify the effectiveness of attention concentration The six-minute walking figure related to cardiopulmonary functions was improved compared to those with intellectual disabilities who did not participate in the volleyball program, the report showed. We can see improvements in muscular function-related sit-ups and flexibility-related sit-ups compared to those with intellectual disabilities who did not participate, and significant changes have been seen in the distance of the place-wide jump related to net worth. We could also confirm that it had a positive effect on the improvement of selective attention concentration, and that the change in self-control, continuous attention, and selective attention among middle school students had a positive effect on the improvement.

• Journal of KIISE
• /
• v.44 no.7
• /
• pp.674-679
• /
• 2017

In big-data environments wherein large amounts of text documents are produced daily, titles are very important clues that enable a prompt catching of the key ideas in documents; however, titles are absent for numerous document types such as blog articles and social-media messages. In this paper, a title-generation model for which sequence-to-sequence RNNs with attention and copying mechanisms are employed is proposed. For the proposed model, input sentences are encoded based on bi-directional GRU (gated recurrent unit) networks, and the title words are generated through a decoding of the encoded sentences with keywords that are automatically selected from the input sentences. Regarding the experiments with 93631 training-data documents and 500 test-data documents, the attention-mechanism performances are more effective (ROUGE-1: 0.1935, ROUGE-2: 0.0364, ROUGE-L: 0.1555) than those of the copying mechanism; in addition, the qualitative-evaluation radiative performance of the former is higher.

• The Journal of the Acoustical Society of Korea
• /
• v.41 no.5
• /
• pp.518-524
• /
• 2022

In this paper, we propose a method for combining convolutional neural networks and attention mechanism to improve the recognition performance of emotional stress from Electroencephalogram (EGG) signals. In the proposed method, EEG signals are decomposed into five frequency domains, and spatial information of EEG features is obtained by applying a convolutional neural network layer to each frequency domain. As a next step, salient frequency information is learned in each frequency band using a gate transformer-based attention mechanism, and complementary frequency information is further learned through inter-frequency mapping to reflect it in the final attention representation. Through an EEG stress recognition experiment involving a DEAP dataset and six subjects, we show that the proposed method is effective in improving EEG-based stress recognition performance compared to the existing methods.

• The Journal of the Acoustical Society of Korea
• /
• v.39 no.5
• /
• pp.406-413
• /
• 2020

In this paper, to improve the classification accuracy of bird and amphibian acoustic sound, we utilize GLU (Gated Linear Unit) and Self-attention that encourages the network to extract important features from data and discriminate relevant important frames from all the input sequences for further performance improvement. To utilize acoustic data, we convert 1-D acoustic data to a log-Mel spectrogram. Subsequently, undesirable component such as background noise in the log-Mel spectrogram is reduced by GLU. Then, we employ the proposed temporal self-attention to improve classification accuracy. The data consist of 6-species of birds, 8-species of amphibians including endangered species in the natural environment. As a result, our proposed method is shown to achieve an accuracy of 91 % with bird data and 93 % with amphibian data. Overall, an improvement of about 6 % ~ 7 % accuracy in performance is achieved compared to the existing algorithms.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.6
• /
• pp.273-283
• /
• 2016

In this paper, the effect of neurofeedback training program on attention ability of ADHD children is studied. The main concept of a neurofeedback training program is a robot control with brain wave. To do this, Mindset(neurosky, ltd) was used as a brain wave measurement and lego NXT was used to a robot kit. The developed brain wave training program has a 12 chapter. Students meet a problem situation and they invent and make a problem solving robot with NXT kits. After that, they control the their own robot by their brain wave. Developed program was applied to 8 student who live in chunan area. To monitor a change of attention ability, attention behavior checklist, K-CBCL, CTRS-R, ADS were used. These checklist were recorded with before and after the program. The result shows that student attention ability is increase after the program in the most of the checklist.

• Journal of Digital Convergence
• /
• v.15 no.3
• /
• pp.405-411
• /
• 2017

The purpose of this study was to identify the color that you want the pitcher glove hit impact on the intensity of the other. The color of the glove pitcher was set to black, orange, beige three kinds analyzed the concentration of the batter accordingly. Subjects of this study were 15 people targeting high school baseball players in Daejeon, through a pre- test and vision test color blind players were selected with no visual problems. After the blow of the experiment was used to color the glove Nideffer is modified to fit and complement the six subscales B-TAIS. As a result, when wearing a colored glove that contrasts with the color of the ball, the batter's concentration was increased. Hopefully, research will take place using the ball skill and equipment of various pitchers.

• 한국정보교육학회:학술대회논문집
• /
• 2007.08a
• /
• pp.167-172
• /
• 2007

현재 일본과 미국을 중심으로 많은 로봇 선진국들이 다양한 형태의 로봇을 개발하고 있으며, 국내에서도 지능형 서비스 로봇산업인 엔터테인먼트 로봇, 홈로봇 등의 로봇 제품을 출시하고 있다. 이러한 로봇개발과 국민들의 로봇에 대한 기대가 커지면서 그에 따른 로봇의 교육적 활용에 대한 연구도 큰 관심을 끌고 있다. 이에 본 논문에서는 범국민화 되고 있는 URC 로봇 중 하나인 아이로비 큐를 가지고 학급경영에 필요한 주의집중, 칭찬, 격려 교사보조로봇컨텐츠를 개발하여 초등 현장 학생들을 대상으로 실험하였다. 그 결과 수업 중 퀴즈부분과 도입부분의 집중과 분위기 전환을 위해서 로봇 활용은 유용하였으며, 교사보조로봇컨텐츠는 수업에 주의집중, 재밋거리, 흥미, 동기유발, 교사 역할의 편리함을 제공하였다.