• 융합정보논문지
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• 제9권2호
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• pp.165-171
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• 2019

본 연구의 목적은 SNS에서의 스포츠이슈에 대한 집단감정과 집합행동의 관계를 실증적으로 규명하는 것이다. 이를 위하여 국내 대표 포털사이트로부터 집합행동이 명확히 관찰되는 스포츠이슈 5건과 관련 포털 기사 5건을 선정하였고, 그 댓글 중, 추천 수에 따른 상위 100개 씩 총 500개의 댓글을 집단감정의 분석 대상으로 수집하였다. 또한 해당 이슈로부터 발생한 대중의 행위를 집합행동의 분석대상으로 선택하였다. 각 분석대상 댓글과 집합행동은 전문가 회의를 통하여 1~5점의 점수를 부여하였으며, 이에 대한 일원배치분산분석 및 다중회귀분석 결과는 다음과 같다. 첫째, SNS에서의 스포츠 집단감정은 스포츠이슈에 따라 다르게 나타났다. 둘째, SNS에서의 스포츠이슈에 대한 집단감정과 집합행동 간에는 유의한 인과관계가 있음이 규명되었다. 본 연구는 스포츠 집단감정과 집합행동의 인과적 관계를 계량적 분석을 통하여 실증적으로 규명하였다는 데 의의가 있다.

• 정보과학회 논문지
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• 제44권11호
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• pp.1178-1193
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• 2017

지식 도메인에 대한 집단적인 패턴에서 시스템의 행위를 이해하는 것은 중요하다. 그러나 시스템의 크기, 상호작용의 복잡성으로 집단 행위를 표현하는데 구조적인 어려움이 있으며, 상태 폭발 문제가 발생한다. 또한, 다른 시스템과의 합성은 시스템의 크기와 복잡성이 기하급수적으로 증가하기 때문에 현실적으로 어렵다. 본 논문은 도메인 공학의 새로운 개념인 행위 온톨로지를 이용하여, 집단 행위를 모델링하는 실용적인 방법을 제시한다. 첫째, 액티브 온톨로지를 통해 시스템의 행위를 정의한다. 둘째, 행위는 일반 정규 표현식이라고 불리는 정량화된 추상 격자 구조로 표현된다. 셋째, 격자는 공통된 요소를 기반으로 다른 격자와 합성할 수 있다. 이 방법은 시스템 복잡성을 줄이기 위해, 시스템 상태를 최소화하는 것뿐만 아니라 집단 패턴에서 시스템 동작을 표현하는 혁신적인 방법 중 하나일 수 있다. 이 방법을 구현하기 위해, PRISM 프로토타입 도구를 ADOxx 메타 모델링 플랫폼으로 개발하였다.

• 한국콘텐츠학회논문지
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• 제18권1호
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• pp.623-641
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• 2018

본 연구는 집합적 리더십(collective leadership)의 유효성을 검증하는데 그 목적이 있다. 구체적으로 집합적 리더십이 창의적 행동에 미치는 직접효과와 집합적 리더십과 창의적 행동간 조직기반 자긍심의 간접효과를 검증하고, 이러한 간접효과의 메커니즘이 심리적 안전감에 의해 조절되는 조건부 간접효과를 규명하고자 한다. 본 연구는 동일방법편의(common method bias) 문제점을 최소화하기 위해 직급과 함께 직무상황에서의 정서성(affectivity)을 통제변수로 사용하였다. 회수된 설문지 319부 중 부적절한 자료(univariate outliers) 10부를 제외한 309부가 분석에 사용되었다. 연구결과, 집합적 리더십은 구성원들의 창의적 행동에 정(+)의 영향을 미쳤고, 조직기반 자긍심은 집합적 리더십과 창의적 행동과의 관계에서 부분매개 역할을 하였다. 또한, 심리적 안전감의 조건부 간접효과는 '매우 낮음', '낮음', '중간'의 세 단계를 제외한 '높음', '매우 높음'의 두 단계에서 유의한 것으로 나타났다. 본 연구결과가 함의하는 바는, 조직의 리더들이 집합적 리더십을 통해 구성원의 조직기반 자긍심과 창의적 행동을 촉진하는데 있어 심리적 안전감이 높아야 그 효과성이 커진다는 것이다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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• pp.323-326
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• 1996

In this paper, we propose a new method of the communication system for cooperative behavior and control in a collective autonomous mobile robots. A communication function among the collective robots is essential to intelligent cooperation. In general, global communication is effective for small number of robots. However when the number of robot goes on increasing, this becomes difficult to be realized because of limited communication capacity and increasing amount of information to handle. And also the problems such as communication interference and improper message transmission occur. So we propose local communication system based on infrared sensor to realize the cooperative behavior and control as the solution of above problem. It is possible to prevent overflow of information and exchange of complex information by combining communicate a specific robot. At last we verify the effectiveness of the proposed communication system from example of cooperative behavior.

• Journal of Information Technology Applications and Management
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• 제22권2호
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• pp.113-122
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• 2015

Collective intelligence can be an influential factor of decision-making based on collaboration and information exchange between individuals. Our study explores whether collective intelligence can mitigate the loss aversion effect, bias and error in human judgment, and collective intelligence in online communities can reduce the loss aversion effect. Our community settings display both individual-level and group-level loss aversion effect, investigate effective collective intelligence characteristics like investment commitment, participant experience. Using a multi-method approach our research comprises a web-based experiment with 100 participants investing 3 situations from a real-world community, data from a survey measuring loss aversion behavior of participants. The results suggest the loss aversion effect mitigates under the online-circumstance. Overall, our results suggest that, while collective intelligence mitigates the loss aversion effect, participants do not transfer these results to other settings.

• 대한간호학회지
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• 제38권2호
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• pp.287-297
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• 2008

Purpose: The purpose of this study was to identify factors related to nurses' organizational citizenship behavior using multilevel analysis which included both nurse characteristics at individual levels and nursing unit characteristics at group levels. Methods: The sample was composed of 1,996 nurses who were selected from 182 nursing units in 28 hospitals in six metropolitan cities and seven provinces using cluster sampling. Data were collected using self-reported questionnaires from February to March 2006. Results: The results of the study indicated that individual level variables related to organizational citizenship behavior were religion, job position, clinical career, self efficacy, positive affectivity, and supervisor support. The group level variables related to organizational citizenship behavior were collective efficacy, number of nurses in a nursing unit, and the average salary level of a nursing unit. 30.9% of individual level variances of organizational citizenship behavior were explained by the nurses' individual level variables. The explanatory power of group level variables, which is related to group level variances of organizational citizenship behavior, was 75.5%. Conclusion: This research showed that it was necessary to develop appropriate strategies related to not only individual factors, but also higher-level organizational factors such as collective efficacy, to improve individual performances in the hospital.

• Journal of Information Technology Applications and Management
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• 제17권4호
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• pp.1-17
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• 2010

As web technologies evolve and so-called Web 2.0 technologies appear, collective intelligence is being applied in widespread areas. In general, mass collective intelligence like Wikipedia is created, revised, and managed by anonymous participants in an uncontrolled system. Thus, the knowledge provided by mass collective intelligence may be distorted, and may not be true, which may affect the user acceptance behavior. However, there have been few academic studies that analyzed the factors that affect user acceptance of mass collective intelligence, and their relationships. Under this academic background, we develop a model to examine how mass collective intelligence is accepted by users. The theoretical model is validated through an online survey of the Wikipedia users from three universities in Korea. The results reveal that the users will have positive attitude towards adopting mass collective knowledge when they perceive that the knowledge from mass collective intelligence is useful. We also find that the perceived usefulness of the knowledge is affected by perceived knowledge quality and trust in knowledge contributors. The results also suggest that perceived knowledge quality is determined by perceived level of collaboration, perceived objectivity, and recipient expertise, whereas trust in knowledge contributors is determined by natural propensity to trust and perceived objectivity. Theoretical and practical implications about mass collective knowledge are discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.912-928
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• 2019

Crowd behavior analysis research has revealed a central role in helping people to find safety hazards or crime optimistic forecast. Thus, it is significant in the future video surveillance systems. Recently, the growing demand for safety monitoring has changed the awareness of video surveillance studies from analysis of individuals behavior to group behavior. Group detection is the process before crowd behavior analysis, which separates scene of individuals in a crowd into respective groups by understanding their complex relations. Most existing studies on group detection are scene-specific. Crowds with various densities, structures, and occlusion of each other are the challenges for group detection in diverse crowded scenes. Therefore, we propose a group detection approach called Collective Interaction Filtering to discover people motion interaction from trajectories. This approach is able to deduce people interaction with the Expectation-Maximization algorithm. The Collective Interaction Filtering approach accurately identifies groups by clustering trajectories in crowds with various densities, structures and occlusion of each other. It also tackles grouping consistency between frames. Experiments on the CUHK Crowd Dataset demonstrate that approach used in this study achieves better than previous methods which leads to latest results.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.124-127
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• 1997

In this paper, we propose a method of cooperative control based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B lymphocyte(B cell), each environmental condition as an antigen, and a behavior strategy as an antibody respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is simulated and suppressed by other robot using communication. Finally much simulated strategy is adopted as a swarm behavior strategy. This control scheme is based on clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy.

• 아태비즈니스연구
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• 제10권1호
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• pp.39-54
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• 2019

The purpose of this study is to research the effect of organizational culture on trust and communication. Also, the study explores whether trust and communication affects innovative behavior and the mediation effect on innovative behavior among organizational culture, trust and communication. This study analyzed the mediating effect with SEM using data from the HCCP in 2015. The results of the study are as follows. First, it was found that innovative, collective and rational culture positively influence but hierarchical culture negatively influence trust and communication. Second, trust and communication have a positive effect on innovative behavior and trust has a positive effect on communication. Third, the effect innovative, collective hierarchical and rational culture on innovative behavior is mediated through trust and communication. Therefore, this study suggests creating an innovative, relationship-based and goal-oriented organizational culture which increases trust and communication that facilitates innovative behavior.