• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.9
• /
• pp.381-390
• /
• 2022

Influenced by a culture that prefers non-face-to-face activity during the COVID-19 pandemic, chatbot usage is accelerating. Chatbots have been used for various purposes, not only for customer service in businesses and social conversations for fun but also for mental health. Chatbots are a platform where users can easily talk about their depressed moods because anonymity is guaranteed. However, most relevant research has been on social media data, especially Twitter data, and few studies have analyzed the commercially used chatbots data. In this study, we identified the characteristics of depressive discourse in user-chatbot interaction data by analyzing the chats, including the word 'depress,' using the topic modeling algorithm and the text-mining technique. Moreover, we compared its characteristics with those of the depressive moods in the Twitter data. Finally, we draw several design guidelines and suggest avenues for future research based on the study findings.

• Journal of Korean Biological Nursing Science
• /
• v.22 no.4
• /
• pp.279-287
• /
• 2020

Purpose: Some of the adolescent drinks more sugar-sweetened beverages. However, there is little evidence on the effect of eating behavior on emotional state and neurochemical changes under stress, especially on the levels of typical inhibitory neurotransmitters and gamma-aminobutyric acid. This article demonstrates that sucrose or saccharin drink reduces stress-related behavior responses and GABAergic deficits in adolescent rats. Methods: We randomly assigned 7-weeks-old Sprague-Dawley male rats to three groups: control group (Control), restraint stress only group (Stress), and restraint stress with unrestricted access to saccharin solution (Saccharin) and sucrose solution (Sucrose) as a positive control. We evaluated both anxious and depressive moods using an open field test and forced swim test, respectively. Using western blot analyses, the expression of a GABA-synthesizing enzyme, glutamate decarboxylase-67 (GAD67) and GABAergic markers, including calbindin and parvalbumin was assessed in the prefrontal cortex and the amygdala. Results: We found that both the drinks alleviated anxiety and depressive moods, induced significant attenuation in GAD67 level, and reduced calbindin level under stress in the prefrontal cortex and the amygdala. Conclusion: The results provide an understanding of the effect of sucrose or saccharin drink on stress-related responses. We propose the consumption of sweet drinks as a plausible strategy to alleviate stress-related alterations in adolescents.

• Journal of Korean Gerontological Nursing
• /
• v.20 no.sup1
• /
• pp.119-126
• /
• 2018

Purpose: The aim of this study was to describe problems and solutions for older adults living alone and using wearable devices to report depressive moods in daily life. In addition, gerontology nurses' competencies and strategies were discussed based on lessons learned from the observational study. Methods: A hybrid method was used, combining literature review and content analyses based on interviews with 53 participants and observations done by the research team. Results: Main issues and relevant strategies were identified in terms of (1) applicability of information and communications technology (ICT) devices for older adults, (2) feasibility of older adults' use of ICT devices, (3) integration of ICT devices into daily life, and (4) relevant issues when older adults use ICT. Important roles and competencies were discussed regarding general and gerontology aspects of ICT. Conclusion: Findings indicate that a wearable device is feasible to measure daily depressive moods in older adults living alone in community settings. To extend our research protocol to practice, gerontology nurses must adequately prepare to meet emerging health care trends and end users' needs for ICT-based nursing. It is necessary to develop diverse educational programs and active involvement in research and design of relevant devices and programs.

• Korean Journal of Child Studies
• /
• v.33 no.6
• /
• pp.149-168
• /
• 2012

This study explored the effects of maternal ambivalence over emotional expressiveness (AEE) and mother-adolescent communication on adolescent depression (depressed affect, positive affect, somatic symptoms and activity inhibition, interpersonal difficulties). Data were taken from 233 middle school students (128 boys, 105 girls) and their mothers. Regression analyses showed varying gender differences in the relationships among these variables. Boys with high maternal AEE had lower positive affect, and higher depressive affect, somatic symptoms and activity inhibition, and interpersonal difficulties, whereas girls' moods were not influenced by maternal AEE. In addition, boys with problems in mother-dolescent communication exhibited lower positive affect, higher depressed affect and interpersonal difficulties, but open communication was not related to any depressive symptoms. The mother-adolescent communication type did not appear to be associated with depression in girls either. Both boys and girls both had less open communication and more problem communication with mothers experiencing high AEE. Problem communication with mothers partially mediated the relationship between maternal AEE and interpersonal difficulties in boys only. Examination of maternal ambivalence over emotional expressiveness provides a deeper context for our understanding of negative family communication patterns and the psychological consequences, especially in mother-adolescent boy dyads.

• Journal of Oriental Neuropsychiatry
• /
• v.28 no.2
• /
• pp.137-143
• /
• 2017

Objectives: Insomnia is a common disease in the general population. The purpose of this paper was to suggest that insomnia subtype of blood stasis can be effectively treated with Danggwisu-san and acupuncture. Methods: This is a clinical case report of a patient with chronic insomnia that was diagnosed with blood stasis subtype. I treated him with Danggwisu-san (Dangguixu-san) two to three times daily and with acupuncture and moxibustion two to three times weekly. Results: After short-term treatment, the patient was gradually recovering from deteriorating chronic insomnia and multiple accompanying symptoms such as severe constipation, spontaneous bleeding and edema, darkened face, depressive moods, etc. Conclusions: Results revealed a possibility that chronic insomnia subtype of blood stasis may be successfully treated with Danggwisu-san and acupuncture and moxibustion.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.11a
• /
• pp.993-996
• /
• 2021

챗봇의 사용 용도는 일상 대화와 소비자 응대를 넘어서 심리 상담 용도로 확장하고 있다. 이 연구에서는 챗봇-사람 채팅에서 무작위로 추출한 '우울'과 관련된 대화 데이터를 텍스트마이닝 기법으로 분석하여 채팅에서의 우울 관련 담론 주제를 파악하였다. 더불어 정성 분석을 통해 사용자들이 챗봇에 털어놓고 있는 '우울' 의 종류를 범주화하고 분류하여, 트위터의 '우울' 데이터와의 차이점을 비교하였다. 이를 통해 챗봇 데이터의 '우울' 대화만의 특징을 파악하고, 우울 증상 탐지와 그에 따른 적절한 심리지원 정보를 제공하는 서비스 디자인의 착안점을 제시한다.

• The Korean Journal of Applied Statistics
• /
• v.20 no.3
• /
• pp.449-458
• /
• 2007

Bipolar disorder, also known as manic-depressive illness, is a brain disorder that causes unusual shifts in person's mood, energy, and ability to function. Compared with manic episode, the depression episode causes more serious results such as restless, loss of interest or pleasure, or thoughts of death or suicide and the cure rate of depression episode is lower than that of manic episode. Furthermore, a long term use of antidepressants in bipolar patients may result in manic episode. Our interest is to investigate the effect of antidepressant on switch of moods of bipolar patients and to estimate the transition probabilities of switch between moods, depression and (hypo) manic. In this study, three approaches are applied in terms of multi state model. Parametric model is applied using left censoring data and nonparametric model is implemented under illness-death model with counting process. In order to estimate the effect of covariates, a multiplicative model is used. These all methods have similar results.

• Journal of Korean Neurosurgical Society
• /
• v.63 no.2
• /
• pp.261-267
• /
• 2020

Objective : We investigated the effect of hypnotics on sleep quality, cognitive function, and depressive mood in patients with insomnia following brain tumor resection. Methods : From patients who underwent brain tumor resection, we recruited 10 patients with insomnia who received hypnotics for more than 1 week during a 3-week follow-up period (insomnia group). We also recruited 12 control patients with brain tumors but without insomnia (control group). We evaluated sleep quality at baseline and 3 weeks later using the Insomnia Severity Index (ISI), the Pittsburgh Sleep Quality Index (PSQI), the Stanford Sleepiness Scale (SSS), and the Epworth Sleepiness Scale (ESS) and investigated cognitive function and depression using the Computerized Neuropsychological Test and the Beck Depression Inventory (BDI). Results : At baseline, SSS, ISI, PSQI, and BDI scores were significantly higher and visual continuous performance test (VCPT) and auditory continuous performance test (ACPT) scores were significantly lower in the insomnia than in the control group. Three weeks later, the patients who had received hypnotics had significantly higher ISI, PSQI, ESS, VCPT, ACPT, visual span forward and backward, and visual recognition test scores, and significantly lower BDI scores. Conclusion : Quality of sleep in patients with insomnia following brain tumor resection was initially poor but improved significantly after taking hypnotic medication. Further, the hypnotic medications appeared to contribute to the amelioration of cognitive impairments and depressive moods in patients who previously underwent brain tumor resection. We thus recommend the use of hypnotics for patients with brain tumors with insomnia.

• The Korean Journal of Pain
• /
• v.32 no.4
• /
• pp.271-279
• /
• 2019

Background: We utilized diffusion tensor imaging (DTI) to evaluate the cerebral white matter changes that are associated with phantom limb pain in patients with unilateral arm amputation. It was anticipated that this would complement previous research in which we had shown that changes in cerebral blood volume were associated with the cerebral pain network. Methods: Ten patients with phantom limb pain due to unilateral arm amputation and sixteen healthy age-matched controls were enrolled. The intensity of phantom limb pain was measured by the visual analogue scale (VAS) and depressive mood was assessed by the Hamilton depression rating scale. Diffusion tensor-derived parameters, including fractional anisotropy, mean diffusivity, axial diffusivity (AD), and radial diffusivity (RD), were computed from the DTI. Results: Compared with controls, the cases had alterations in the cerebral white matter as a consequence of phantom limb pain, manifesting a higher AD of white matter in both hemispheres symmetrically after adjusting for individual depressive moods. In addition, there were associations between the RD of white matter and VAS scores primarily in the hemispheres related to the missing hand and in the corpus callosum. Conclusions: The phantom limb pain after unilateral arm amputation induced plasticity in the white matter. We conclude that loss of white matter integrity, particularly in the hemisphere connected with the missing hand, is significantly correlated with phantom limb pain.

• Journal of the Korea Convergence Society
• /
• v.9 no.1
• /
• pp.419-431
• /
• 2018

In this paper, we propose a novel method for monitoring mood trend of Twitter users by analyzing their daily tweets for a long period. Then, to more accurately understand their tweets, we analyze all types of content in tweets, i.e., texts and emoticons, and images, thus develop a multimodal sentiment analysis method. In the proposed method, two single-modal analyses first are performed to extract the users' moods hidden in texts and images: a lexicon-based and learning-based text classifier and a learning-based image classifier. Thereafter, the extracted moods from the respective analyses are combined into a tweet mood and aggregated a daily mood. As a result, the proposed method generates a user daily mood flow graph, which allows us for monitoring the mood trend of users more intuitively. For evaluation, we perform two sets of experiment. First, we collect the data sets of 40,447 data. We evaluate our method via comparing the state-of-the-art techniques. In our experiments, we demonstrate that the proposed multimodal analysis method outperforms other baselines and our own methods using text-based tweets or images only. Furthermore, to evaluate the potential of the proposed method in monitoring users' mood trend, we tested the proposed method with 40 depressive users and 40 normal users. It proves that the proposed method can be effectively used in finding depressed users.