• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.202-209
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• 2020

Due to Corona 19, non-face-to-face education was conducted at general universities, so it was necessary to conduct non-face-to-face faculty advisor counseling. SNS counseling using photovoices was conducted in the 6th session and FGI for 10, 3rd graders in the early childhood education department of a college in the metropolitan area. The results of the study analyzing students' perceptions of the counseling and content of the counseling are as follows. First, the research participants positively recognized the SNS counseling that applied the photovoice technique. Second, they gradually adapted to non-face-to-face daily life and learning and evaluated the positive aspects, but they complained of fear in career and employment. A non-face-to-face counseling strategy and follow-up studies were proposed through this case study.

• Smart Media Journal
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• v.11 no.8
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• pp.65-72
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• 2022

Due to COVID-19, the importance of non-face-to-face counseling is increasing as the face-to-face counseling method has progressed to non-face-to-face counseling. The advantage of non-face-to-face counseling is that it can be consulted online anytime, anywhere and is safe from COVID-19. However, it is difficult to understand the client's mind because it is difficult to communicate with non-verbal expressions. Therefore, it is important to recognize emotions by accurately analyzing text and voice in order to understand the client's mind well during non-face-to-face counseling. Therefore, in this paper, text data is vectorized using FastText after separating consonants, and voice data is vectorized by extracting features using Log Mel Spectrogram and MFCC respectively. We propose a multi-emotion recognition model that recognizes five emotions using vectorized data using an LSTM model. Multi-emotion recognition is calculated using RMSE. As a result of the experiment, the RMSE of the proposed model was 0.2174, which was the lowest error compared to the model using text and voice data, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1571-1576
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• 2022

This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.3
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• pp.130-141
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• 2022

Voice and speech therapy can be performed in various ways depending on the situation, although it is generally performed in a face-to-face manner. Telepractice refers to the provision of specialized voice and speech therapy by speech-language pathologists for assessment, therapy, and counseling by applying telecommunication technology from a remote location. Recently, due to the pandemic situation and the active use of non-face-to-face platforms, interest in telepractice of voice and speech therapy has increased. Moreover, a growing body of literature has been advocating its clinical usefulness and non-inferiority to traditional face-to-face intervention. In this review, the existing discussions, guidelines, and preliminary studies on non-face-toface voice and speech therapy were summarized, and recommendations on the tools for telepractice were provided.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.463-468
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• 2022

COVID-19 is a complex disaster, not an infectious disease-level disaster, and it is difficult to respond with the existing disaster response management method. As a result, experiencing psychological stress and trauma such as 'Corona Blue' has emerged as a new social problem. This study examined the changes in non-face-to-face counseling services using ICT technology and the application cases of image, AI, and VR by companies as the transition to the digital economy accelerates. Based on this, disaster psychological recovery support services were considered to improve the psychological recovery and quality of life of the people after a disaster by establishing a more efficient counseling system and developing counseling services using ICT technology.

• Smart Media Journal
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• v.10 no.4
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• pp.21-27
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• 2021

Recently, the importance of counseling is increasing due to the Corona Blue caused by COVID-19. Also, with the increase of non-face-to-face services, researches on chatbots that have changed the counseling media are being actively conducted. In non-face-to-face counseling through chatbot, it is most important to accurately understand the client's emotions. However, since there is a limit to recognizing emotions only in sentences written by the client, it is necessary to recognize the dimensional emotions embedded in the sentences for more accurate emotion recognition. Therefore, in this paper, the vector and sentence VAD (Valence, Arousal, Dominance) generated by learning the Word2Vec model after correcting the original data according to the characteristics of the data are learned using a deep learning algorithm to learn the multi-dimensional We propose an emotion recognition model. As a result of comparing three deep learning models as a method to verify the usefulness of the proposed model, R-squared showed the best performance with 0.8484 when the attention model is used.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.266-269
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• 2022

As the emotional problems experienced by modern people after COVID-19 have increased, the burden on clients due to negative perceptions of psychological counseling and physical limitations is still high. Therefore, this study proposes a virtual counseling platform for effective counseling using the characteristics of people in their 20s who are open to relationships in non-face-to-face relationships. To this end, a survey was conducted for those in their 20s and in-depth interviews with counselors were conducted. After that, a 3D virtual counseling environment was created through Unity to PC-based service. As a result of the study, it was found that the most important factor in counseling in the 20s was the tendency of counselors and an atmosphere without burden, which was closely related to self-opening in counseling. Therefore, it was possible to participate in counseling while looking at the counselor character in a 3D space created in comfortable atmosphere, and various interaction elements with the counselor were provided during counseling. The significance of this study aims to promote self-openness of clients in their 20s and actively participate in counseling. This is expected to greatly help improve psychological problems through smooth counseling.

• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.130-133
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• 2021

Recently, as the expansion of the metaverse accelerated due to the spread of the non-face-to-face trend after the COVID-19 pandemic, various metaverse platforms using it have appeared. In this study, we propose research and development of a virtual reality spatial psychological counseling service platform utilizing the advantages of metaverse. A counseling service platform was developed through virtual reality hardware including Unity 3D game engine and Head Mounted Display. Counseling participants create and participate in their own avatars, and counseling facilitators respond to the situation and environment of the counseling target in various virtual environments. It was attempted to improve the efficiency of the counseling service by allowing the space and counselor avatar to be selected. Furthermore, various interactions were implemented, and development was carried out so that it could be extended and utilized for social activities such as group counseling and general meetings and presentations. In the future, through additional research and development, we will prove the practical effectiveness of the psychological counseling service platform developed by conducting clinical trials under the support of psychological counseling experts and participation in actual counseling.

• Journal of Yeungnam Medical Science
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• v.39 no.4
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• pp.314-321
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• 2022

Background: In this study, the degree of anxiety, depression, and stress caused by coronavirus disease 2019 (COVID-19) was identified, as well as the need for psychological prevention measures among medical students in the Daegu region that was designated the first special disaster area due to the spread of COVID-19. Methods: The subjects of this study were 318 medical students in Daegu who voluntarily participated in an online test using the Hospital Anxiety and Depression Scale and Impact of Event Scale-Revised Korean version. As a result of the test, risk students received immediate telephone counseling, and the effect of this telephone counseling was analyzed. Results: There were no differences in depression, anxiety, or stress according to gender and grade. As a result of immediate telephone counseling for risk students, significant differences were found in depression, anxiety, and stress, and the counseling was found to be effective. Conclusion: For medical students who are easily exposed to stress, the importance of psychological prevention measures and effectiveness of non-face-to-face counseling should be recognized. In the field of medical education, we must do our best to build a system that can be used immediately at the appropriate time for these programs.

• Journal of the Korean Applied Science and Technology
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• v.40 no.3
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• pp.521-533
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• 2023

The purpose of this study was to investigate the effect on the clinical competence by the face-to-face, non-face-to-face clinical practice stress and the stress coping. A survey was conducted among nursing students of university in Seoul and Chungcheong City from June 10 to July 10, 2021. 201 copies were included in the final data analysis, Pearson's correlation coefficient and hierarchical regressions was used. As a result, in the first stage, nursing students grades, major satisfaction, and face-to-face practice satisfaction explained 19.4% of their clinical performance ability, in the second step, stress coping was added to increase explanatory power by 19.6% allowing a total of 39.0% of randomness to be explained. Therefore, this study could be used as a basic data for the counseling, development, and education programs for stress coping to increase clinical competence.