http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
차량 내 인포테인먼트 환경에서 감성 기반 모션 그래픽스 설계 방향 도출
심재문(Jae Moon Sim),김민종(Meen Jong Kim),김귀영(Gui Young Kim),이장선(Jang Sun Lee),지용구(Yong Gu Ji) 대한인간공학회 2020 大韓人間工學會誌 Vol.39 No.5
Objective: The aim of this study is to investigate the relationship between motion graphics and sensibilities in the touch display environment, and suggests the design direction of sensibility-based motion graphics in the infotainment environment. Background: With the development of autonomous vehicle technology, various attempts have been made to deliver new sensibilities to users through infotainment system. However, due to the limitations of autonomous vehicle technology, the interface between the infotainment system and the user is limited to the touch display. Method: Motion graphics have been implemented for graphic buttons. For the starting location and pattern of movement, which are design elements that do not exist in the existing design guideline, the relationship between design elements and sensibilities was examined. The experiment was conducted on the sensibility of Fluid, Energetic and Simple that can be generated in the in-vehicle infotainment system. Results: In order to generate the Energetic, the movement should be designed in a radial pattern at the center, and in order to generate the Simple, the movement should be designed without a pattern in the entire area of the button. On the other hand, in the case of the Fluid, it was confirmed that the differentiated Fluid could not be generated through the starting location and pattern of the movement. Conclusion: Sensibility-based motion graphics design guidelines were derived through the starting location and pattern of movement in consideration of the usage context of button motion graphics. Application: The design guidelines might be a useful material for designers who want to design button motion graphics in consideration of sensibility.
신체활동수준과 스트레스수준에 따른 Vitamin-D 결핍률에 관한 직군별 비교분석연구
심재문(Jae Mun Sim),전현규(Hyeon Gyu Jeon),이건창(Kun Chang Lee) 한국콘텐츠학회 2015 한국콘텐츠학회논문지 Vol.15 No.8
본 연구의 목적은 신체활동수준과 스트레스 수준에 따른 직군별 Vitamin D 겹필률 차이를 조사하기 위함이다. 본 연구는 KNHANES 2008~2013 데이터를 이용하여 실증연구를 수행하였다. 이를 위해서 교차분석, 로지스틱분석을 사용하였으며, 스트레스의 간접효과 분석을 위해서 SOBEL 테스트를 사용하였다. 분석결과 Vitamin D 결핍은 옥외활동이 많은 직군에서 상대적으로 낮게 나타났다. 또한 신체활동수준이 높을수록 결핍률이 낮게 나타났다. 스트레스는 신체활동수준을 매개변수로 하여 Vitamin D 결핍에 영향을 미치고, 스트레스가 높을수록 Vitamin D 결핍이 높은 것으로 나타났다. 이러한 분석 결과 옥외활동이 많은 사무종사자 등의 직군에서는 근무자가 주기적으로 햇볕에 노출될 수 있도록 해야 하며, 이를 위해서 신체활동수준을 향상 시킬 수 있다면 적절한 해결책이 될 수 있는 것으로 파악되었다. 또한 직장 내 스트레스를 관리하기 위하여 근로자의 신체활동 수준을 유지하는 것도 고려될 필요가 있다. The purpose of the study is to investigate the occupational difference of Vitamin D deficiency according to the level of physical activity and the level of stress. For this purpose, We performed empirical approaches and adopted KNHANES 2008~2013 dataset, to which were applied such methods as crosstabulation analysis, logistic regression and SOBEL test. As a result, we found that Vitamin D deficiency was higher in the group of people with indoor-working-job than in the group of people with out-door working job. Besides, Vitamin D deficiency tends to increase in the people with lower physical activity and higher stress experience. As a result, those employees highly related with in-door activities must be ensured that they need to be exposed to sunlight on a regular basis. Moreover, improving the physical activity levels of employees could be one of appropriate solutions to alleviate Vitamin D deficiency problems. Besides, lowering stress levels in workplace needs to be seriously considered in order not to drop the physical activity levels of workers.
상황인식 서비스의 안정적 운영을 위한 온톨로지 추론 엔진 선택을 위한 사례기반추론 접근법
심재문(Shim Jaemoon),권오병(Kwon Ohbyung) 한국경영과학회 2008 韓國經營科學會誌 Vol.33 No.2
Owl-based ontology is useful to realize the context-aware services which are composed of the distributed and self-configuring modules. Many ontology-based inference engines are developed to infer useful information from ontology. Since these engines show the uniqueness in terms of speed and information richness, it’s difficult to ensure stable operation in providing dynamic context-aware services, especially when they should deal with the complex and big-size ontology. To provide a best inference service, the purpose of this paper is to propose a novel methodology of context-aware engine selection in a contextually prompt manner. Case-based reasoning is applied to identify the causality between context and inference engined to be selected. Finally, a series of experiments is performed with a novel evaluation methodology to what extent the methodology works better than competitive methods on an actual context-aware service.