• Journal of Fashion Business
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• v.16 no.6
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• pp.109-126
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• 2012

The purpose of this study was to examine the effect of price-attitude toward apparel products on shopping values and consumption behavior. The study was carried out in Deagu and Kyungbook area. Applying the convenience sampling, total 326 questionnaire were collected from university students who were randomly selected as participants. This study used frequency, factor analysis, reliability analysis, regression analysis, and t-test for data analysis. The finding are as follows. Price-attitude toward apparel products was categorized into information leading, price dignity, price discount, list price orientation, quality value and using coupons. Shopping tendency factors were found as pursuit of pleasure, pursuit of sociality, and pursuit of economic feasibility. Consumption behavior factors were categorized into impulsive buying, ostentatious consumption, utilization of internet information, possession of material and brand trust. Price-attitude toward apparel products had a significant effect on shopping values and consumption behavior. University students seemed to consider the value of money to be very important as well as economic feasibility. They utilized information from the internet to buy products with good quality and showed high usage level of coupons. And, university students who buy at a least price tried to show dignity with expensive brand products and they consider those brands express self-confidence.

• Journal of Distribution Research
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• v.10 no.2
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• pp.1-26
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• 2005

The purpose of this study is to identify the consumer factors influencing the channel choice in the brokerage transaction. The 14 consumer factors were extracted from the two perspectives: first, the off-line channel is based on the relational benefits offered by the salespeople, second, the on-line stock exchange is a transaction mediated by the internet technology. The results shows that the channel choice is significantly influenced by the 8 out of 14 consumer factors hypothesized: interpersonal orientation, risk-taking tendency, amount of money invested, price consciousness, time length of internet usage, innovativeness, information privacy sensitivity, intrinsic desire for information. And the results of discriminant analysis shows that three consumer factors-risk-taking tendency, time length of internet usage, and information privacy sensitivity-are most valuable in discriminating off-line vs. on-line customers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3136-3150
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• 2015

A vision-based 3D tracking of articulated human hand is one of the major issues in the applications of human computer interactions and understanding the control of robot hand. This paper presents an improved approach for tracking and recovering the 3D position and orientation of a human hand using the Kinect sensor. The basic idea of the proposed method is to solve an optimization problem that minimizes the discrepancy in 3D shape between an actual hand observed by Kinect and a hypothesized 3D hand model. Since each of the 3D hand pose has 23 degrees of freedom, the hand articulation tracking needs computational excessive burden in minimizing the 3D shape discrepancy between an observed hand and a 3D hand model. For this, we first created a 3D hand model which represents the hand with 17 different parts. Secondly, Random Forest classifier was trained on the synthetic depth images generated by animating the developed 3D hand model, which was then used for Haar-like feature-based classification rather than performing per-pixel classification. Classification results were used for estimating the joint positions for the hand skeleton. Through the experiment, we were able to prove that the proposed method showed improvement rates in hand part recognition and a performance of 20-30 fps. The results confirmed its practical use in classifying hand area and successfully tracked and recovered the 3D hand pose in a real time fashion.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.11
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• pp.4103-4117
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• 2014

Image processing and computer vision algorithms are gaining larger concern in a variety of application areas such as robotics and man-machine interaction. Vision allows the development of flexible, intelligent, and less intrusive approaches than most of the other sensor systems. In this work, we determine the location and orientation of a mobile robot which is crucial for performing its tasks. In order to be able to operate in real time there is a need to speed up different vision routines. Therefore, we present and evaluate a method for introducing parallelism into the multiple non-overlapping camera pose estimation algorithm proposed in [1]. In this algorithm the problem has been solved in real time using multiple non-overlapping cameras and the Extended Kalman Filter (EKF). Four cameras arranged in two back-to-back pairs are put on the platform of a moving robot. An important benefit of using multiple cameras for robot pose estimation is the capability of resolving vision uncertainties such as the bas-relief ambiguity. The proposed method is based on algorithmic skeletons for low, medium and high levels of parallelization. The analysis shows that the use of a multiprocessor system enhances the system performance by about 87%. In addition, the proposed design is scalable, which is necaccery in this application where the number of features changes repeatedly.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.215-222
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• 2023

Augmented reality (AR), which integrates virtual media into reality, is increasingly utilized across various industrial sectors, thanks to advancements in 3D graphics and mobile device technologies. The IT industry is thus carrying out active R&D activities about AR platforms. Google plays a significant role in the AR landscape, with a focus on ARCore services. An essential aspect of ARCore is the use of anchors, which serve as reference points that help maintain the position and orientation of virtual objects within the physical environment. However, if the accuracy of anchor positioning is suboptimal when running AR content, it can significantly diminish the user's immersive experience. We are to assess the performance of these anchors in this study. To conduct the performance evaluation, virtual 3D objects, matching the shape and size of real-world objects, we strategically positioned ourselves to overlap with their physical counterparts. Images of both real and virtual objects were captured from five distinct camera trajectories, and ARCore's performance was analyzed by examining the difference between these captured images.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1504-1514
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• 2010

Relationship marketing can be one of the most efficient strategies to enable a company to achieve business success in the recent marketing environment of tough competition and the diverse desires of consumers for new products. Using relationship marketing instead of mass marketing can help a company increase profits. For proper research in relationship marketing, it is indispensable to study relationship benefits. This study provides specific information in terms of relationship benefits to help develop the marketoriented strategy of a company. The results are as follow. The relationship benefit had a significantly positive effect on relationship quality (trust, satisfaction, and commitment). A relationship benefit was divided into three dimensions: customization benefit, informational benefit, and emotional benefit. Especially, emotional benefit appears as the most positive effect on satisfaction and the customization benefit appeared as the most positive effect on trust and commitment. The customization benefit and emotional benefit had a significantly positive effect on long-term relationship orientation, repurchase intention, and word of mouth. Informational benefit was not a significant influence on repurchase intention and word of mouth. Customization benefit appeared the most positive effect on long-term relationship orientation and word' of mouth. Emotional benefit appeared the most positive effect on repurchase intention. The relationship quality had a significantly positive effect on relationship performance. The findings of this study provide both industry and academic researchers with a guide to increase customer satisfaction in the relationship marketing process.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.6B
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• pp.631-641
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• 2011

Digital Multimedia Broadcasting (DMB) and Internet Protocol Television (IPTV) are now in commercial service, tearing down the traditional boundaries between the telecommunications and broadcasting sectors. These latest developments also hold important implications for research projects in related areas. Both telecommunications and broadcasting being fields with a strong service orientation, market demand should be the primary consideration when selecting research and development (R&D) projects in these areas. This study presents a process for selecting converged telecommunications-broadcasting technology development projects from a demand-oriented perspective, using criteria that are based on projected future demand characteristics. Aimed at increasing the efficiency of the R&D project selection process in telecommunications and broadcasting convergence, this study can point out new directions in R&D management in this field.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1339-1355
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• 2023

Localization is a hot research spot for many areas, especially in the mobile robot field. Due to the weak signal of the global positioning system (GPS), the alternative schemes in an indoor environment include wireless signal transmitting and receiving solutions, laser rangefinder to build a map followed by a re-localization stage and visual positioning methods, etc. Among all wireless signal positioning techniques, Wi-Fi is the most common one. Wi-Fi access points are installed in most indoor areas of human activities, and smart devices equipped with Wi-Fi modules can be seen everywhere. However, the localization of a mobile robot using a Wi-Fi scheme usually lacks orientation information. Besides, the distance error is large because of indoor signal interference. Another research direction that mainly refers to laser sensors is to actively detect the environment and achieve positioning. An occupancy grid map is built by using the simultaneous localization and mapping (SLAM) method when the mobile robot enters the indoor environment for the first time. When the robot enters the environment again, it can localize itself according to the known map. Nevertheless, this scheme only works effectively based on the prerequisite that those areas have salient geometrical features. If the areas have similar scanning structures, such as a long corridor or similar rooms, the traditional methods always fail. To address the weakness of the above two methods, this work proposes a coarse-to-fine paradigm and an improved localization algorithm that utilizes Wi-Fi to assist the robot localization in a geometrically similar environment. Firstly, a grid map is built by using laser SLAM. Secondly, a fingerprint database is built in the offline phase. Then, the RSSI values are achieved in the localization stage to get a coarse localization. Finally, an improved particle filter method based on the Wi-Fi signal values is proposed to realize a fine localization. Experimental results show that our approach is effective and robust for both global localization and the kidnapped robot problem. The localization success rate reaches 97.33%, while the traditional method always fails.

• Journal of the Korean Society of Costume
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• v.64 no.5
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• pp.30-49
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• 2014

Mobile shopping, through the use of the smart phone, has become a very popular shopping method for consumers due to it not being limited by time or place. This research aims do the following:1)find the causes for consumers shifting to mobile shopping with the focus on fashion and beauty items; and in order to so, this research will use the TAM that was found by David et al (1989), and 2) distinguish any behavioral differences between consumer groups divided into purchasing intention of fashion and beauty items through smart phone. Path analysis was performed to verify the cause-and-effect relationship between the variables. Personal characteristics(i.e. market maven, time orientation), perceived usability, ease of use, attitude towards mobile shopping, and purchase intentions were all treated as dependant variables. The results showed that attitude towards mobile shopping was the most important variable on mobile shopping intentions. Time-oriented and Market Maven were thought to affect mobile shopping attitude and the dependent variables of purchase intention. Also, when purchasing smart phones, consumers highly valued smart phone's popularity; people with higher purchasing intention mainly used entertainment and utility apps. The following are the main reasons for not purchasing through mobile shopping: they are slower than computers, inconveniences in viewing due to small size of the screen, and security issues. The consumers used the internet as their main source of acquiring daily information. In this research, factors that affect the purchase intention were studied. However, it is difficult to firmly insist that this research correctly predicts the actual purchase intention-further studies need to be done to investigate the relationship between mobile purchase intention and actual purchase intention.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.307-318
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• 2013

This study developed the prevention education program of smartphone overuse for adolescents in middle school and testified its outcome. Finally the 4-session prevention education program for smartphone overuse was developed. 1st session was composed of psychoeducation about smartphone overuse and its side effect by quiz question. 2nd session smartphone addiction and brain change, 3rd session motivational enhancement program for smartphone overuse, 4th session cognitive behavioral program for it. The outcome was testified by internet addiction scale, smartphone addiction scale, and school adaptation scale for 2 classes of middle school students(experimental and control class). 2 Main results were as follows; First, the smartphone addiction total score and cyberworld orientation of the students participating in it were statistically significantly reduced. The difficulty of daily living and abstinence symptom due to smartphone overuse of them tended to reduce. Second, internet addiction total and all subscores of them were not changed. Third, class adaptation of them was statistically significantly increased and school adaptation total score and teacher adaptation of them tended to increase. Its meaning, implication and limitation were discussed.