• Journal of Information Technology Applications and Management
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• 제10권4호
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• pp.29-50
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• 2003

This research provide the basic information to enhance the user-orientedness of usability design guidelines for software products and an effective empirical guidance to classify design attributes of internet shopping mall sites. The results of analysis show that design attributes can be classified into the procedural attribute group, the shopping tool attribute group, the visual attribute group, linguistic attribute group, and others. The results show that shopping tool attribute group can be divided further into the search tool attribute group and purchase tool attribute group and that the visual attribute group can be divided further into the screen condition attribute group and the character legibility attribute group. The research reveals that when designers design software interfaces and features they should take the compound effect of a group of design attributes into consideration to enhance the usability of the system.

• 복식문화연구
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• 제10권6호
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• pp.617-632
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• 2002

The purposes of this study are 1) to classify the consumer group according to clothing purchase store(department store, road shop, discount store, Dongdaemoon & Namdaemoon markets) 2) to analyze the differences between VMD attributes which each consumer group value. The attributes on the VMD are categorized as 5 areas 1) interior 2) show window 3) product display & display change cycle 4) color · light · music · small instrument 5) promotion(POP & salesperson). The data were collected from 238 females students and were analyzed by frequency, percent and X²-test. The results of this study are as fellows . 1) On the attribute of Interior, there were significant differences in terms of flow in a store, rest area, the cleanness of floor, show case, and the merchandise itself. 2) On the attribute of show window, there were significant differences in terms of interst of show window. 3) On the attribute of product display & display change cycle, there were significant differences in terms of display method, and display change cycle. 4) On the attribute of color · light · music · small instrument, there were significant differences in terms of interest of color coordination, luminosity and effect of light, and necessity of music & small instrument. 5) On the attribute of promotion(POP & salesperson), there were significant differences in terms of aid of POP.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1171-1178
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• 2019

This study proposes a deep neural network model based on an encoder-decoder structure for visual dialogs. Ongoing linguistic understanding of the dialog history and context is important to generate correct answers to questions in visual dialogs followed by questions and answers regarding images. Nevertheless, in many cases, a visual understanding that can identify scenes or object attributes contained in images is beneficial. Hence, in the proposed model, by employing a separate person detector and an attribute recognizer in addition to visual features extracted from the entire input image at the encoding stage using a convolutional neural network, we emphasize attributes, such as gender, age, and dress concept of the people in the corresponding image and use them to generate answers. The results of the experiments conducted using VisDial v0.9, a large benchmark dataset, confirmed that the proposed model performed well.

• 반도체디스플레이기술학회지
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• 제22권2호
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• pp.128-132
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• 2023

Recently, with the development of deep learning technology, research on pedestrian attribute recognition technology using deep neural networks has been actively conducted. Existing pedestrian attribute recognition techniques can be obtained in such a way as global-based, regional-area-based, visual attention-based, sequential prediction-based, and newly designed loss function-based, depending on how pedestrian attributes are detected. It is known that the performance of these pedestrian attribute recognition technologies varies greatly depending on the type of backbone network that constitutes the deep neural networks model. Therefore, in this paper, several backbone networks are applied to the baseline pedestrian attribute recognition model and the performance changes of the model are analyzed. In this paper, the analysis is conducted using Resnet34, Resnet50, Resnet101, Swin-tiny, and Swinv2-tiny, which are representative backbone networks used in the fields of image classification, object detection, etc. Furthermore, this paper analyzes the change in time complexity when inferencing each backbone network using a CPU and a GPU.

• 한국HCI학회논문지
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• 제1권2호
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• pp.51-58
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• 2006

다양한 과학 분야와 공학 분야에서는 그들이 다루고 있는 특정한 주제의 정보를 좀 더 신속하고, 명확하게 사용자에게 전달하기 위해서 여러 가지 정보가시화(information visualization) 기법을 사용한다. 정보를 가시화 할 때는 기본적으로 세 가지 과정을 거치는데, 원 데이터(raw data)로부터 데이터 모델(data model)로 변환하고, 변환된 데이터 모델을 가시화 구조상(visual structure)에 매핑(mapping)시킨 후 정보화 모델(information model)로 변환하게 된다. 본 논문에서는 특정 행사가 진행되고 있는 건물내부에서 발생하는 시간, 공간적인 정보를 정리한 도표메타포(table metaphor)를 토대로, 해당 데이터 모델로부터 추출한 다양한 정보를 3차원 지도로 구성된 정보화 모델상에 반영하기 위한 방법을 제안하였다. 또한, 정보를 단순히 공간상에 반영하기 보다는 사용자의 관심영역(interest area)에 따른 정보의 공간적 의미에 중점을 두어 3차원 공간상에 표현하였다.

• 복식문화연구
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• 제27권3호
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• pp.285-297
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• 2019

Retail firms have begun to pursue the marketing strategies, which stimulate consumers' sensibility and lead people to purchase their products. The visible effects of visual merchandising (VM) arouse consumers' interest and play an effective role in having busy people efficiently choose products. Apparel retail stores such as SPA use the offline store to be the experiential environment of their branding. Consumers' sensitivity and response toward various visual merchandising strategies needs to be accessed. The purpose of this study is to identify VM consciousness and VM evaluation attribute factors. Relationship of such variables with other variables were accessed. As consequence variables, product satisfaction and unplanned purchase behavior were included in the study. An empirical survey data was collected from men and women of various ages. Results indicated that VM consciousness and VM evaluation attribute factors were not correlated with consumer demographic variables. VM evaluation attributes were factored into appropriateness, attractiveness and functionality dimensions. Clothing involvement and brand orientation significantly influenced product satisfaction and unplanned purchase. The direct and indirect effect (via VM consciousness) were significant. For unplanned purchase, brand orientation only had indirect effect. The influence of VM evaluation attribute factors were significant. Appropriateness had stronger effect on product satisfaction whereas attractiveness had stronger effect on unplanned behavior. Functionality dimension had only indirect effect on product satisfaction but did not show significant direct and indirect effects on unplanned purchase. This study identified the pivotal role of VM consciousness in various shopping and purchasing circumstances in offline retail store of apparel brands.

• 한국의류산업학회지
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• 제10권6호
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• pp.864-872
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• 2008

This study investigated store attributes, VM factors, and store loyalty for store choice behavior by G sensibility types. A total of 425 usable questionnaires were obtained from students who enrolled at universities in Busan, Korea. For data analysis, factor analysis, cluster analysis, ${\chi}^2$-test, and ANOVA were conducted by using SPSS 10.1. The major results were as follows: First, G sensibility was classified into five types: G1(My pace type), G2(Active type), G3(Whimsical type). G4(Mania type), and G5(Sensational type). Particularly, G3 was most highly observed in male and female groups. Second, there was significant difference in the importance of store attribute, such as merchandise assortment among G sensibility types. Third, there were significant differences in VM factors of store image, physical facilities, and display and layout among G sensibility types. Especially, G5 type consumers considered store image, physical facilities, and merchandise display and layout more importantly, than did the other types. Fourth, there was significant difference in store loyalty among G sensibility types. This study discussed managerial implications of visual merchandising strategy for apparel retailers.

• 한국정보처리학회논문지
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• 제6권6호
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• pp.1447-1457
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• 1999

최근 제안된 시각 객체 질의어(VOQL)는 시각 질의어로 스키마 정보가 시각적으로 질의 표현에 포함되므로 복잡한 구조의 데이터에 대한 질의를 효과적으로 표현할 수 있는 객체 지향 데이터베이스 질의어이다. VOQL은 귀납적으로 정의된 시맨턱을 갖는 그래프 기반 언어로 다양한 텍스트 경로식들을 그래프로 간결하게 표현 할 뿐 아니라 복잡한 경로식의 시맨틱을 명확하게 전달한다. 그러나 기존의 VOQL은 모든 속성을 다중 값으로 가정하고 있고, 객체변수의 바인딩 개념을 시각화하고 있지 못하고 있다. 이로 인해 VOQL 질의문의 표현이 직관적이지 못할 뿐 아니라 이론적 확장이 쉽지 않다. 본 논문에서는 이러한 문제를 해결하도록 VOQL을 개선하고 한다. 단일 값과 다중 값을 갖는 속성의 결과를 각각 시각 요소와 서브 블랍을 통해 시각화하고, 시각변수를 도입하여 객체 변수의 바인딩을 명시화하여 질의문의 시맨틱을 직관적이고, 명확하게 하고 있다.

• 한국콘텐츠학회논문지
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• 제11권1호
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• pp.83-91
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• 2011

만화의 가장 큰 특성은 글과 그림의 결합체로 널리 알려져 왔다. 현대만화의 형태를 신문만화에서 찾아 볼 수 있는 것이 대표적으로 글을 넣은 만화였음이 이를 증명한다. 그러나 만화에서 글이 없는 경우를 종종 볼 수 있다. 이러한 작품 역시 해독하는데 크게 어려움이 없고, 만화에서 형상을 나타내는 이미지가 독자와 대화한다고 해석할 수 있다. 그렇다면 만화에서 이미지는 어떻게 언어적 커뮤니케이션을 전달하는지 의문점이 생긴다. 이 연구는 이러한 이미지가 주는 시각적 커뮤니케이션을 살펴보고, 글 없는 만화의 특성을 고찰한다.

• 농업과학연구
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• 제50권4호
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• pp.697-711
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• 2023

The global waste crisis has been escalating and its consequent impact on soil, water, air pollution, and eventually climate change acceleration has shed light on the importance of reducing waste. Amidst COVID-19 and the following surge in single-use plastics for food delivery, waste generation is on the incline. Companies and governments have embarked on developing various eco-friendly packaging technologies, but their effectiveness on the consumers is vague as definitions of eco-friendly packaging are vague, and research on its link to purchase intention remains scarce. Thus, the adoption of eco-friendly packaging has been slow. To address this issue, this study analyzes the awareness and purchase intention of four visual attributes of eco-friendly packaging-material, verbal statement, eco-label, and color-along with the environmental consciousness among undergraduate university students in Korea through online surveys and the ordered logit regression model. The study distinguished the attributes into evidence-based and conjectural categories. The findings revealed that eco-friendly visual attributes had a positive effect on purchase intention amongst undergraduate students in Korea; however the level of environmental consciousness had marginal effect on the purchase intention of eco-friendly visual attributes. The level of effectiveness also varied with each visual element. Analyses revealed that visual attributes to eco-friendly material had marginal effect on purchase intention; color was deemed not an "Eco-friendly attribute" by most students, and although eco-friendly labels were deemed as an eco-friendly attribute, trust in the labels varied according to environmental consciousness. These findings have implications for businesses and policymakers aiming to promote eco-friendly consumption within packaged food products.