• 한국의류학회지
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• 제41권2호
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• pp.266-280
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• 2017

This study predicted consumer approach/avoidance behavior through consumer emotional experiences and examined the moderating effect of perceived surprises in the context of digital signage in store environments. A self-administered questionnaire consisted of consumer emotional experience (e.g., pleasure, arousal, and dominance), approach-avoidance behavior and perceived surprise by digital signage. A total of 278 usable responses were obtained from consumers who experienced digital signage at fashion retail stores. The findings support the Mehrabian-Russell model in the context of digital signage. Approach behavior was predicted by pleasure and arousal emotional experience, while avoidance behavior was predicted by dominance. The moderating effect of perceived surprise was also indicated in the effect of emotional experience on approach or avoidance behavior. In the high level of perceived surprise, pleasure and arousal had significant effects on approach behavior, whereas dominance had significant effect on avoidance behavior. This study discussed theoretical and managerial implications for creating emotional experiences and developing strategic store management by utilizing new digital technology within the fashion retail environments.

• 가정과삶의질연구
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• 제6권1호
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• pp.95-116
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• 1988

this study has dual purposes; one is to develope a new theoretical framework in consumer behavior area by applying the human ecological approach, and the other is to test the theory empirically area by applying the human ecological approach, and the other is to test the theory empirically by examining prepurchasing behavior of housing. Research methods adopted in this study are library search and survey research with self-administered questionnaires. The statistical methods used in the survey research are factor analysis, chi square test, and multivariate analysis with crosstablulations. According to the human ecological approach, ecological environments are important sources of consumer needs which , in turn, are satisfied by purchasing behavior in the market. Within this theoretical framework, consumers con improve the quality to life by perceving clearly what their needs are thereby making the most possible efficient purchasing decision making. The major findings of the empirical research on the basis of the theoretical framework are as follows; 1) Housing needs significantly vary with different ecological environment. 2) consumer information search behavior does not differ significantly by housing needs. 3) Housing needs turn out to be an intervening variable between ecological environments and consumer information search behavior. the results of this study show that the human ecological approach is useful in consumer behavior studies. The empirical result that consumer needs are not significantly satisfied by consumer behavior suggests a now direction in consumer education.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권12호
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• pp.679-688
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• 2003

In order to navigate the mobile robots safely in unknown environments, many researches have been studied to devise navigational algorithms for the mobile robots. In this paper, we propose a navigational algorithm that consists of an obstacle-avoidance behavior module, a goal-approach behavior module and a radial basis function network(RBFN) supervisor. In the obstacle-avoidance behavior module and goal-approach behavior module, the fuzzy-artificial immune networks are used to select a proper steering angle which makes the autonomous mobile robot(AMR) avoid obstacles and approach the given goal. The RBFN supervisor is employed to combine the obstacle-avoidance behavior and goal-approach behavior for reliable and smooth motion. The outputs of the RBFN are proper combinational weights for the behavior modules and velocity to steer the AMR appropriately. Some simulations and experiments have been conducted to confirm the validity of the proposed navigational algorithm.

• 한국의류산업학회지
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• 제15권1호
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• pp.65-72
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• 2013

This study utilizes a S-O-R model to investigate the effects of apparel product presentations using a 3D avatar model in Internet fashion malls for pleasure(emotional state) and approach behavior. We chose a 3D avatar model to present a fashion product in this study. The model walked for about one minute on stage; subsequently, respondents completed a questionnaire after they viewed it. The questionnaire consists of telepresence, pleasure and approach behavior. Respondents are limited to females 20s and 30s years old who have purchased fashion products in an Internet mall and are highly interested in fashion products. A total of 226 samples were used for the final analysis. Cronbach's alpha, correlation analysis, confirmatory factor analysis, and structural equation modeling were utilized in this study. The results are as follows. First, telepresence has a significant influence on pleasure; subsequently, pleasure influenced consumer approach behavior. Second, telepresence positively influenced the approach behavior (directly and indirectly). This verified the effectiveness of a 3D avatar model using S-O-R. A 3D avatar model can be a strategic alternative in the fiercely competitive Internet shopping sector.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2002년도 가을 학술발표회 논문집
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• pp.149-154
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• 2002

An analytical fracture mechanics approach was used to investigate the fracture behavior of reinforced concrete beams. By use of this approach based on fracture mechanics concepts, the crack width and length as well as the strength and cracking stability of reinforced concrete beams were investigated. The results obtained from the analytical studies were also discussed in terms of the minimum reinforcement ratio and crack width specified in design code provisions. The analytical approach based on fracture mechanics concepts are very useful to predict the fracture behavior of reinforced concrete beams.

• 한국CDE학회논문집
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• 제20권1호
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• pp.75-83
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• 2015

In the virtual prototyping (VP) of digital products, it is important to provide the people involved in product development with the visualization and interaction of the products, and the simulation of their human machine interaction (HMI) behaviors in interactive 3D virtual environments. Especially, for the HMI behavior simulation, it is necessary to represent them properly and to play them back effectively according to user interaction in the virtual environments. In a conventional approach to HMI behavior simulation, user interface (UI) designers use UI design software tools to generate the HMI behavior of a digital product of interest. Due to lack of reusability of the HMI behavior, VP developers need to analyze and integrate it into a VP system for its simulation in a 3D virtual environment. As this approach hinders the effective communication between the UI designers and the VP developers, it is easy to create errors and thereby it takes significant time and effort especially when it is required to represent the HMI behavior to the finest level of detail. In order to overcome the shortcomings of the conventional approach, we propose an approach for representing the HMI behavior of a digital product using XML (eXtensible Markup Language) and for reusing it to perform the HMI behavior simulation in 3D virtual environments. Based on the approach, a VP system has been developed and applied for the design evaluation of various products. A case study about the design evaluation is given to show the usefulness of the proposed approach.

• 한국게임학회 논문지
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• 제2권2호
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• pp.37-45
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• 2002

컴퓨터 게임은 실세계에 대한 시뮬레이션으로 간주되어질 수 있다. 소프트웨어 에이젼트의 제어 문제는 인공지능 분야에서 오랫동안 연구되어져 왔으며, 이는 행동기반 접근법이라는 것을 내놓았다. 인공지능 분야에서는 지금까지 크게 세 가지의 접근법을 볼 수 있다. 인지주의는 기호의 형태로 지능이 표현되어질 수 있고 다루어질 수 있다는 것을 제안하였으며, 연결주의에서는 표현이 신체 구조에 내포되어있어서 신체로부터 분리되어질 수 없음이 강조되었다. 행동기반 접근법에서는 인공지능은 동적인 성질을 가져서 어디서든지 존재하지 않는 대신에 에이젼트가 환경에서 행동할 때 비로소 우러나오는 성질을 가진 것으로 제시된다. 본 논문에서는 이러한 세 가지의 접근법을 비교하고 행동기반 접근법의 타당성과 문제점 에 대하여 논한다. 본 논문은 또한 행동기반 접근법의 컴퓨터 게임의 에이젼트 제어에 대한 활용을 제안한다.

• 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.

• 충청수학회지
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• 제11권1호
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• pp.163-172
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• 1998

In this paper, we will study properties of the Green's potential for the Green's function of B which is defined in [8]. In particular, we will investigate boundary behavior of some functions related with Green's function within tangential approach regions that were used in [4].

• Journal of Multimedia Information System
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• 제6권4호
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• pp.179-184
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• 2019

This paper introduces a study for procedurally generating the behavior of objects in a virtual environment at runtime. This study was initiated to enable the behavioral model of objects in virtual reality applications to evolve in response to user behavior at runtime. Our approach is to describe the behavior of an object as a behavior tree, and to make a node of the behavior tree change to another type if a certain condition is satisfied. We defined four types of node changes: "parameterized", "probabilistic", "alternate", and "variant". We experimented with a virtual environment that includes a variety of simple procedural elements to explore the possibilities of our approach. As a result of the implementation, if an optimization algorithm that can select and apply the optimized procedural elements in response to the user's behavior is complemented, it is confirmed that more intelligent objects and agents can be implemented in virtual reality applications.