손동작과 정서 차원 분석
The Analysis of the Demension of Affection Structure and Hand Movements
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초록
본 연구에서는 컴퓨팅 환경에서 동작 속성과 정서간의 관계를 이해하고자 하였다. 본 연구에 사용된 동작은 Laban 움직임 분석(LMA)의 하위요소를 이용하였다. 본 연구에서는 LMA의 하위 요소들을 방향성 차원 다섯 조건(수평, 수직, 전후, 흔듦, 원형), 무게감 차원(지속적임, 급박함), 시간감 차원(가벼움, 강력함)의 각 두 조건으로 재구성하여 총 20개의 동작을 선정하였다. 정서어휘는 한덕웅과 강혜자[4]가 수집한 834개의 정서 어휘 중 동작을 통해 표현되고 전달되기 쉬운 어휘 50개를 선택하였다. 또한 연구 참가자들에게 20개의 동작에 대한 50개의 정서 어휘의 적절성 평정을 받아 이 자료를 범주형 주성분분석을 하였다. 분석 결과 각성 수준 차원은 동작의 무게감과 시간감 차원과 관련이 있는 것으로 나타났다. 강하고 빠른 동작일수록 각성 수준이 높은 정서가 나타났다. 또한 동작의 방향성 차원은 정서의 종류와 관련이 있는 것으로 드러났다. 직선 움직임은 높은 각성 수준의 부정적 정서와, 흔듦 움직임은 불안 및 초조, 원형 움직임은 즐거운 정서와 관련이 있는 것으로 나타났다. 본 연구의 결과는 동작을 통하여 정서 정보를 효과적으로 전달할 수 있음을 보여주었고, 동작과 정서를 연관 짓기 위해 방향성 차원과 무게감 차원 그리고 시간감 차원을 고려할 필요가 있음을 시사해 준다.
Abstract
The dimensions of affection structure from hand movements was developed for the purpose of understanding relationship between affective words and physical factors to apply it to computing environment. To analyze hand movements, three dimensions -direction, time, weight- were found through reconstructing sub-properties of Laban Movement Analysis. The direction dimension has five freedoms of movement (horizontal, vertical, sagittal, circular, shaking) while the time and weight dimensions both have two sub categories each,(sudden, sustained),(light, strong) respectively. By factorial design using the three dimensions, twenty movement were videotaped. Participants rated a list of fifty korean affective words on each twenty movements. The results were studied by nonlinear principal component analysis. The results suggested that time and weight dimensions are closely related with arousal level dimension of affection. Strong and sudden movements associated with highly aroused affection, while light and sustained movements associated with the opposite affection. The direction sub-dimensions were found to be associated with the kinds of affection. Linear movements like horizontal, vertical and sagittal direction were correlated to highly aroused negative affection. Circular movements were found to correlate closely by fun and delight on the graph, while shaking movements were correlated to anxiety and impatience. These results imply that the dimensions of affection structure and sub-properties of hand movements are closely connected with each other.
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