• Journal of Labour Economics
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• v.40 no.3
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• pp.79-104
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• 2017

This papers reviews the concept of happiness which has begun to be widely used in many fields. The concept of happiness is extensively examined within the analytical concept of subjective well-being. Three components of subjective well-being are clearly summarized in the paper. In addition, related questionaries measuring those components are provided from the most widely accepted in the study of happiness. The role of two factors such as income and unemployment in determining individuals' happiness is also discussed.

• Journal of Korean Medical classics
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• v.20 no.1
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• pp.125-136
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• 2007

본연구장이송대이후유의적성립화의이투과명대적대표적유의장개빈(本硏究將以宋代以後儒醫的成立和意而透過明代的代表的儒醫張介賓), 진행검시의론화의덕지중유학이론적투영과정화전개(進行檢詩醫論和醫德之中儒學理論的投影過程和展開). 송대이후유학적인산생유의적지중칭지위인술적개념(宋代以後儒學的仁産生儒醫的之中稱之爲仁術的槪念), 효화인성위의학적존립목적(孝和仁成爲醫學的存立目的). 저래원재어유학구유적도덕적생명의(這來源在於儒學具有的道德的生命議), 이차이생명도덕적해석위중심(而且以生命道德的解釋爲中心), 해석형기적문제(解釋形氣的問題). 생리적변화촉진심성변화적촉발(生理的變化促進心性變化的觸發), 심성적부중절조성병리(心性的不中節造成病理). 유의문장유학적절욕양생적의미전이도의학(儒醫們將儒學的節欲養生的意味轉移到醫學), 이차장욕구화감정절제주장적성리학화의학재어일개구조지중상통(而且將欲求和感情節制主張的性理學和醫學在於一個構造之中相通). 유학적추구시인간화자연이급사회적도덕주체적확립(儒學的追求是人間和自然以及社會的道德主體的確立), 이차전개장개빈이급유의문적유학이상(而且展開張介賓以及儒醫們的儒學理想). 유의적의의부지재어장의학적과학기술문제(儒醫的意義不只在於將醫學的科學技術問題), 장유추인간생명적도덕적의의(將類推人間生命的道德的意義), 재어의학적문화화도덕적해석적가능성(在於醫學的文化和道德的解釋的可能性).

• Journal of Korea Game Society
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• v.9 no.5
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• pp.63-72
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• 2009

I-phone presented a new mobile control type by the introducing motion recognition sensor and that influenced on game application development so that led a lot of games using kinds of sensors. In this paper, we divided the game enjoyment into 5 factors for the embodiment of the sensor's influence direction on the enjoyment. We experimented two game, which have same content, different devices in using motion recognition sensor or not for clarifying the distinction between devices. As a experiment source game, we used Cooking Mama, as a experimental device, we used I-pod touch and NDS. This experiment shows a motion recognition sensor control's enjoyment is far superior to touch sensor. This sensor got high marks on every fun factors, stimulus, absorption, empathy, accomplishment and variation. Especially, stimulus and empathy showed great differences. In this case, we found the fact that extended communication between the gamer and the device can be fun.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.269-278
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• 2010

Today's Virtual Reality(VR) technology has become considerably more affordable and sophisticated with rapidly advancing computer technology. Photo-realistic visual representations along with real-time interactivity are now achievable without special programing knowledge and expensive equipment. The purpose of this paper is to establish how simple, credible user testing methods based on VR simulations can be utilized to improve design decision making towards more sensible design solutions for end-users. Results of a case study demonstrate the value of potential user-testing feedback in a simulated 3D virtual service space, i.e., restaurant interior. User feedback from the VR simulation includes preferences in table location, privacy, and values of seating preferred tables. A new design framework incorporating an empirical testing method for service spaces is presented. The overall design process, the development of the VE, and the user testing method and findings are discussed. This study provides useful guidances for future efforts in the areas where such technology may benefit to understand end-user feedbacks in design process.

• Korean journal of communication and information
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• v.74
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• pp.38-71
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• 2015

Based on the Foucault's governmentality, this study has described the self-government strategy that healing discourse is implemented during 2011-2013. Healing discourse's priority is the existence value of individual and full concentration about self is needed more than anything. In this process, people who need to heal and comfort are limit to de-politicized individuals. Healing discourse emphasizes that the current enhancement in order to become reflection and growth of self. Demands of reflection and growth is substitute the critics of the era and society, but also act as a specific code of conduct to individuals. While emphasizes the reflection and personal growth, healing discourse has top priority of the current value. However, in this process, criticism of the era issues and social structural factors are fundamentally excluded. People accepted healing discourse actively, decided empowering self by reflection and remorse. On the other hand, there is a crack and specificity in the dominant reception discourse likewise some subjects criticized that there is no realistic consolation, exposed the antipathy to the older generation, denied the way of problematized objectification. But this is a partial denial about healing as concrete technology, not fundamental resistance about neoliberal orders.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.53-58
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• 2020

Various imperative statements that can be represented in the way in which the product or service is used describe how or how to achieve the goals, or induce or prohibit a specific action. This study focuses on The Effects of age and type of imperative sentence (directive vs. declarative) on behavioral intention and recall. As a result of the experiment, older people who have shorter lives remaining access information in a more emotional way, so they have been rejected by directive (vs. declarative) statements that felt more negative feelings, resulting in lowered behavioral intention. Conversely, the negative feeling caused by directive statements increased salience of directive (vs. declarative) sentence for older people more, which in turn increased memory for older people. Process analysis showed that emotions when exposed to statements mediated these results. The results of this study show that in order to improve consumers' behavioral response and/or the performance of information processing, it is necessary to deeply consider their age and how to construct the statement.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.153-160
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• 2021

With the advent of the "age of video" due to the simplification of video content production and the convenience of broadcasting channel operation, review videos on various products are drawing attention. We proposes RASIA, an integrated reliability analysis system based on verbal and nonverbal sentiment analysis of review videos. RASIA extracts and quantifies each emotional value obtained through language sentiment analysis and facial analysis of the reviewer in the video. Subsequently, we conduct an integrated reliability analysis of standardized verbal and nonverbal sentimental values. RASIA provide an new objective indicator to evaluate the reliability of the review video.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.163-176
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• 2022

As the business ecosystem has become more uncertain, the sources of supply chain risk have also been becoming more diverse. In particular, due to the development of informational technology in recent years, firms need to consider the emerging supply chain risk sources as well as traditional supply chain risk sources. A typical example is negative word-of-mouth by social media. Therefore, we investigated the virality of negative word-of-mouth on manufacturing firms by using YouTube as a representative social media. More specifically, we investigated how the social capital of the video creator influences the virality of negative word-of-mouth and how the emotional tone of the video affects the virality of negative word-of-mouth. In conclusion, the social capital of the video creator influenced the scale and speed of negative word-of-mouth. Furthermore, negative emotion words moderated the relation between the social capital of the video creator and the scale of negative word-of-mouth.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.235-242
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• 2017

Peaks (or Nulls) finding algorithms for Average Magnitude Difference Function (AMDF) of speech signal are proposed in this paper. Both AMDF and Autocorrelation Function (ACF) are widely used to estimate a pitch of speech signal. It is well known that the estimation of the fundamental requency (F0) for speech signal is not only important but also very difficult. In this paper, two algorithms, are exploited the characteristics of AMDF, are proposed. First, the proposed algorithm which has a Threshold value is applied to the local minima to detect a pitch period. The Other proposed algorithm to estimate a pitch period of speech signal is utilized the relationship between AMDF and ACF. The data in this paper, is recorded by using general commercial device, is composed of Korean emotion expression words. The recorded speech data are applied to two proposed algorithms and tested their performance.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.47-64
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• 2021

The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.