• Journal of Digital Convergence
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• v.16 no.11
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• pp.177-183
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• 2018

The purpose of this study is to examine the effects of compassion experienced by defectors on deep acting in organization and secondly to demonstrate the effect of deep acting through compassion on job performance. Third, the purpose of this study is to examine the effects of deep acting on organizational citizenship behavior. Fourth, we examine the mediating effect of deep acting in the relationship between compassion and job performance. Finally, we try to demonstrate the mediating effect of deep acting in the relationship between compassion and organizational citizenship behavior. As a result of this study, it was proved that compassion experienced by defectors has a positive effect on deep acting and that deep acting has a positive effect on job performance and organizational citizenship behavior. In addition, all hypotheses were supported by the findings of research on the mediating effect of deep acting in the relationship between compassion and job performance, and compassion and organizational citizenship behavior. Thus, this study implies that the defectors who need compassion in the organization improve their job performance and increase organizational citizenship behavior through deep acting.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.597-598
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• 2016

행동 인식을 위한 기존의 심층신경망은 행동 패턴 모델링과 행동 인식 성능 향상에 큰 기여를 하였다. 그러나 이 신경망은 영상 전체를 하나의 행동 인식 대상으로 보기 때문에 다중 객체의 개별적인 행동 인식에는 한계가 있다. 이에 본 논문에서는 R-CNN과 LSTM을 융합한 RC-LSTM 심층신경망을 통해 다중 객체의 행동 인식을 위한 방법을 제안한다.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.67-74
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• 2018

The purpose of this study was to analyze the structural relationship among emotional labor and work performance of information security professionals. To this end, we conducted a questionnaire survey on 176 security workers and analyzed the collected data using structural equation modeling (SEM). It was found that the frequency of emotional display was positively related to deep acting and surface acting. Also, the intensity and variety of emotional display was positively related to deep acting and surface acting. In addition, deep acting had a positive relationship with work performance and surface acting had an significantly positive relationship with work performance. The results of this study are meaningful to understand the influence of the emotional aspect of security workers on work performance. Therefore, the overall findings suggest that the training programs and education for the improvement of emotional labor capacity of deep acting are continuously required.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.892-895
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• 2017

본 논문에서는 비분할 비디오로부터 이 비디오에 담긴 사람의 행동을 효과적으로 탐지해내기 위한 심층 신경망 모델을 제안한다. 일반적으로 비디오에서 사람의 행동을 탐지해내는 작업은 크게 비디오에서 행동 탐지에 효과적인 특징들을 추출해내는 과정과 이 특징들을 토대로 비디오에 담긴 행동을 탐지해내는 과정을 포함한다. 본 논문에서는 특징 추출 과정과 행동 탐지 과정에 이용할 심층 신경망 모델을 제시한다. 특히 비디오로부터 각 행동별 시간적, 공간적 패턴을 잘 표현할 수 있는 특징들을 추출해내기 위해서는 C3D 및 I-ResNet 합성곱 신경망 모델을 이용하고, 시계열 특징 벡터들로부터 행동을 자동 판별해내기 위해서는 양방향 BI-LSTM 순환 신경망 모델을 이용한다. 대용량의 공개 벤치 마크 데이터 집합인 ActivityNet 비디오 데이터를 이용한 실험을 통해, 본 논문에서 제안하는 심층 신경망 모델의 성능과 효과를 확인할 수 있었다.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.11a
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• pp.135-147
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• 2001

본 연구는 소비자의 일상생활 행동을 다각적이며 심층적으로 파악하기 위한 하나의 방법으로 다양한 조사방법론을 활용하였다. 본 연구는 디지털 제품 선도 소비자(lead consumer)를 대상으로 구조화된 설문조사법 이외에 심층면접(In Depth-Interview), 쉐도우 서베이(Shadow Survey), 홈비지팅(Home-Visiting) 등의 방법론을 사용하였다. 즉, 일반 소비자와 선도 소비자의 일반적 특성을 파악하기 위해 질문지를 이용한 설문조사방법과 선도 소비자의 일상생활 행동, 행동의 원인, 행동의 결과 등을 심층면접, 쉐도우(Shadow) 관찰조사 방법, 가정 생활을 관찰하기 위한 홈비지팅(Home-visiting) 조사를 실시하였다. 그 결과 의사소통관련 행동은 가족 및 친구를 위한 활동, 정보처리관련 행동은 사회(3차집단)을 위한 활동, 엔터테이먼트 관련 행동은 개인을 위한 활동 목적이 많은 것으로 나타났다. 추후 연구는 상황(Situation)-차이(Gap)-사용(Use)이라는 Sense-Making Theory로 활용되어지며, 이러한 결과는 신상품 컨셉 개발을 위해 활용되어질 것이다. 그러나 본 연구는 견고한 이론적 틀 보다는 목적 지향적이며 실천 지향적 성격이 강하다. 따라서 추후 연구들은 체계적이며, 다학제적인 연구를 통해 조사방법의 체계를 다져야 할 것이다.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.376-390
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• 2016

The purpose of present study is to investigate mediating effects of emotional labor in the links between communication ability of small businessmen and customer orientation behavior. In detail, it is demonstrated both impacts of communication ability on customer orientation behavior and emotional labor (surface acting, deep acting), and of emotional labor (surface acting, deep acting) on customer orientation behavior. Furthermore, mediating effects of emotional labor (surface acting, deep acting) will be verified. The data for analysis was collected from 270 employees in small businessmen located in Jeju. The results are as follows. First, the main impacts of communication ability on customer orientation behavior and emotional labor (surface acting, deep acting) were statistically significant, in addition, emotional labor (surface acting) was positively associated with customer orientation behavior. Surface acting as a mediator was partially mediated the relation. The result will help to understand the importance for communication ability in small businessmen, and it suggests the crucial implecation in the communication study of service suppliers.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.57-64
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• 2019

This study collected 270 defectors working in domestic companies as a sample. The purpose of this study is to examine the effects of compassion experienced by defectors on positive psychological capital in the organization and secondly to demonstrate the effect of positive psychological capital formed through compassion on job crafting. Third, the purpose of this study is to verify the mediating effect of positive psychological capital in the relationship between compassion and job crafting, and finally to demonstrate the moderating effect of deep acting in the relationship between compassion and positive psychological capital. As a result of this study, it is proved that the compassion experienced by the defectors has a positive effect on positive psychological capital, and positive psychological capital has a positive effect on job crafting. In addition, the mediating effect of positive psychological capital and the moderating effect of deep acting were also proved to be significant and all hypotheses were supported. This study suggests that it provides motivation for positive emotions and active work design to defectors who need sympathetic care while working for Korean companies.

• Journal of Digital Convergence
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• v.16 no.8
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• pp.151-159
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• 2018

This study focused on appreciative inquiry(AI) of salespeople who have to respond to various types of emotions according to the desires of individual customers at service contact points and the effect of emotional labor on adaptive selling behavior and customer satisfaction. Dyadic questionnaires were administerd to 115 automobile salespeople and 2 customers who received service from each salesperson, and the collected data was analyzed by using structural equation modeling. The results showed that AI had positive influences on deep acting and surface acting. Only deep acting was found to have positive relationship with adaptive selling behavior, but not to surface acting. Adaptive selling behavior had a positive effect on customer satisfaction. This study will contribute to identifying the need for AI access for salespersons and for activating adaptive selling behavior through emotional labor related to AI practice.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.3
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• pp.155-160
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• 2017

Recently, Deep learning has been used successfully to solve many recognition problems. It has many advantages over existing machine learning methods that extract feature points through hand-crafting. Deep neural networks for human activity recognition split video data into frame images, and then classify activities by analysing the connectivity of frame images according to the time. But it is difficult to apply to actual problems which has small-scale activity classes. Because this situations has a problem of overfitting and insufficient training data. In this paper, we defined 5 type of small-scale human activities, and classified them. We construct video database using 700 video clips, and obtained a classifying accuracy of 74.00%.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2021.06a
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• pp.301-302
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• 2021

본 논문에서는 움직임 정보와 시공간 주의 정보를 심층신경망을 이용하여 함께 활용한 행동 인식 방법을 제안한다. RGB 영상을 입력으로 사용하는 기존 방법과 달리 제안하는 방법은 움직임 정보를 입력으로 사용하여 시간적 특징 및 시공간 주의 정보를 추출하고, RGB 영상에서 추출한 공간적 특징에 시공간 주의 정보를 고려하게 하여 행동 인식 정확도를 향상시킨다. 실험 결과를 통해 행동 분류 정확도 및 연산 효율성이 기존 신경망보다 우수함을 보인다.