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컴퓨터 매개 커뮤니케이션(CMC)에서의 집단 응집성 인식 방법론

Group Cohesiveness Context Aware Computing Methodology for Computer Mediated Communication

  • 김종옥 (경희대학교 일반대학원 기술경영학과) ;
  • 권오병 (경희대학교 경영대학)
  • 투고 : 2010.10.11
  • 심사 : 2010.04.08
  • 발행 : 2011.05.31

초록

상황인식컴퓨팅은 환경에 대한 시의적절한 반응을 위해 필요한 정보를 자동적이고 효율적으로 인식하기 위한 연구 분야로서 안전, 상거래, 의사결정지원시스템 등 다양한 영역에서 응용되고 있다. 이러한 응용분야 중 상당수는 개인 차원뿐 아니라 집단 수준의 상호작용도 지원해야 한다. 효과적인 집단 상호작용을 위해서는 집단 역학과 같은 특수 현상을 고려해야 하며 이를 위해서는 역할, 갈등, 권력, 규범 등과 같은 집단의 속성을 정확하게 파악해야 한다. 그러나 지금까지의 상황인식컴퓨팅은 개인 상황에 집중되어 있고, 집단만이 가지는 고유한 상황 정보에 대한 인식 연구는 그 필요성에도 불구하고 많이 않다. 따라서 본 연구의 목적은 집단 상황(group context)을 자동으로 인식하는 방법을 새롭게 제안하는 것이다. 특히 본 논문에서는 집단 응집성의 인식에 집중하고자 한다. 이를 위해 물리적 센서(physical sensors) 또는 논리적 센서(logical sensors) 로 측정 가능한 요소를 활용한 사례기반 추론 방법을 제안하였다. 본 논문의 방법론의 적용 가능성을 보이기 위해 실험을 실시하여 기존의 집단 응집성 측정 방법과 비교하여 성능을 검증하였다.

Context-aware computing aims to enable the on-line applications and services to be executed in a timely and automated manner. Many of such applications and services involve group-level interactions. For more smoothing communication within a community, specific group-level issues such as group dynamics must be considered. To do so, obtaining group-level contexts such as the role, conflict resolution and norms, are key ingredients to improve group performance. Since group context is not the same as a simple summation of individual context, as group is not just a simple set of individuals, awaring individual context is not sufficient for group-level communication support. However, context-aware computing research still has stressed more on individual context. This leads us to the motivation of searching for group context aware method. Hence, the of this paper is to propose a novel methodology which automatically recognizes group context. Especially, we focus on group conhesiveness in this paper just because group cohosiveness is one of the important variables to control the performance of group interaction. To verify the applicability of the proposed method, an empirical test has been conducted to compare the performance of the proposed methodology with that of conventional methods.

키워드

참고문헌

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피인용 문헌

  1. Ontology Design of Semantic Case Based Reasoning System for the Share and Exchange of Sub-Cases vol.18, pp.4, 2013, https://doi.org/10.7838/jsebs.2013.18.4.195