• Journal of Digital Convergence
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• v.11 no.9
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• pp.311-318
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• 2013

For face detection techniques, the correctness of detection decreases with different lightings and backgrounds so such requires new methods and techniques. This study has aimed to obtain data for reasoning human emotional information by analyzing the components of the eyes and mouth that are critical in expressing emotions. To do this, existing problems in detecting face are addressed and a detection method that has a high detection rate and fast processing speed good at detecting environmental elements is proposed. This method must detect a specific part (eyes and a mouth) by using Haar-like Feature technique with the application of an integral image. After which, binaries detect elements based on color information, dividing the face zone and skin zone. To generate correct shape, the shape of detected elements is generated by using a bezier curve-a curve generation algorithm. To evaluate the performance of the proposed method, an experiment was conducted by using data in the Face Recognition Homepage. The result showed that Haar-like technique and bezier curve method were able to detect face elements more elaborately.

• Journal of Digital Contents Society
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• v.15 no.1
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• pp.61-68
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• 2014

In the past, to stimulate customers' rationality were used as a marketing methods but the storytelling marketing is appealing to consumers by showing product or brand value. Storytelling marketing attracts clients favorable attitude. In this research, I tried to figure out how emotional storytelling and humor advertising affects to brand attitude a quality of products according to advertising types, brand image, trust, interest, message, advertising model, intension of purchase and recommendation requisite to impact on brand attitude. As a result emotional storytelling was more effective than the humor advertising method when forming the brand attitude and brand image. Also, among the types of advertisement, emotional storytelling tended to bring a significant difference between men and women. Emotional storytelling advertisement are increasing and being competitive. Therefore, we need notable advertisement. It is a significant research to understand how advertising type affects to consumers.

• Archives of design research
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• v.19 no.2 s.64
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• pp.273-282
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• 2006

The earlier animations aimed to express the characters realistically by making the illustrations look like moving and alive. Since then, animations have been influenced by development of media technology, men's changed mentality and evolvement of diverse social phenomena, while influencing them, too. Among them, the computer which emerged first in 1946 has sewed to more diversify the tools for realistic expressions of animations, and further, enhance the intellectual power of expression media only to expand the new visual expressions and thereby, usher in a multi-media video information environment. Moreover, this technology or computer has urged every discipline to disintegrate its conventional order for the post-modernism characterized by polysemous, diversified, obscure and sometimes, mutually contradicting elements, and as a result, animations had to find a new breakthrough in the conventional reality (cognitive and reflective reality). Thus, animations have been real enough to be perceived impromptu and emotionally, faster than the logical cognitive process beyond the simple technological barrier or the screen image processing. With such backgrounds in mind and by defining such a reality as 'sensuous reality', this study aimed to apply Gilles Deleuze's, reality of space to animation films and interpret it.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.668-674
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• 2008

When various kinds of contents are developed in accordance with higher rate of Internet use to have quality conditions, added values can be elevated in genuinely strong power of Internet. As soon as visiting web site on Internet, men are invited to visit corresponding information web site by a variety of techniques and colors. The visual expression is thought to be important, and color plans of web designs play an important role. This is because the color decides on images of web design to transfer sense as an important element. The paper selected colors by each type of web site and investigated color images. The purpose of the paper is to classify local web sites by each type, for instance, identity, information/community, entertainment, shopping and learning, etc and to suggest directions of color image plan by each type of web site.

• Korean Institute of Interior Design Journal
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• v.18 no.1
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• pp.35-42
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• 2009

In this study, the author aims to examine that the image for specific space coming through vision is to reveal how people perceive the space through vision and whether the perceived space includes the role as the catalyst that causes the following activities. It is believed that the fact which elements are remembered as the whole expression as well as the memorized images that humans have regarding the space should act as the important factor in terms of space perception. The conclusions from this study are as follow; 1) By analyzing the frequency of observation time that were obtained from the examinee, it was possible to classify the property of observation with S areas. Besides, it was possible to the meanings that the design elements have in each area. The establishment of the areas are considered as the important factor to examine which design elements have drawn the attention. 2) In case of I area which showed the most design factors that would lead examinee's vision or have interests in the examinee views, it showed that it stared the lower parts from the middle of the Image spatially, which was the most stable position from the image with strong tendency for staring at this area. 3) The most frequently stared area was the lower part of the middle, however, while the I area gazed the right side of the middle, II area faced the left side more so that it was revealed that it stared at the lower part of the middle and right side, then, moved to left. 4) Despite the frequent observation, some areas had very low or few observation data records and the area which was designed with monotonous color with relatively large size was also involved here so that it was identified that the simply treated area in design was rarely gazed.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.2
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• pp.112-123
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• 2005

The latest E-commerce sites provide personalized services to maximize user satisfaction for Internet user The collaborative filtering is an algorithm for personalized item real-time recommendation. Various supplementary methods are provided for improving the accuracy of prediction and performance. It is important to consider these two things simultaneously to implement a useful recommendation system. However, established studies on collaborative filtering technique deal only with the matter of accuracy improvement and overlook the matter of performance. This study considers representative attribute-neighborhood, recommendation textile set, and similarity grouping that are expected to improve performance to the recommendation agent system. Ultimately, this paper suggests empirical applications to verify the adequacy and the validity on this system with the development of Fashion Design Recommendation Agent System (FDRAS ).

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.95-100
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• 2019

In this paper, autonomous vehicles of service with existing vehicle accident for the prevention of the vehicle communication technology, self-driving techniques, brakes automatic control technology, artificial intelligence technologies such as well and developed the vehicle accident this occur to death or has been techniques, can prepare various safety cases intended to minimize the injury. In this paper, it is a study to secure safety in autonomous vehicles. This is determined according to spatial factors such as chip signals for general low-power short-range wireless communication and micro road AI. On the other hand, in this paper, the safety of boarding is improved by checking the signal from the electronic chip, up to "recognition of the emotion from residence time in the sensing area" to the biological electronic chip. As a result of demonstrating the reliability of the world countries the world, inducing safety autonomous system of all passengers in terms of safety. Unmanned autonomous vehicle riding and commercialization will lead to AI systems and biochips (Verification), linked IoT on the road in the near future, and the safety technology reliability of the world will be highlighted.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.355-361
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• 2019

The purpose of this study is to analyze how brands are perceived to be most positive when they are presented to users in brand experience design, and to help them communicate more effectively. Originally, brands changed their logos periodically with the aim of communicating anniversaries. These days, not only this information but also emotional communication with users. As a research method, two major portal sites were selected for use in Korea, and a preference survey and in-depth interview were conducted based on the case of the event logos. From the results of the study, we were able to obtain results that the event logos act as a more positive factor when they provide users with various emotional motivations. In the future, we anticipate that users will be given higher value if they have a design approach that will elicit more diverse emotions from the brand experience.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.6
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• pp.21-31
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• 2018

In Hyper-Connected Society, IoT-based Lifelog data is used throughout the Internet and is an important component of customized services that reflect user requirements. Also, Users are using social network services to easily express their interests and feelings, and various life log data are being accumulated. In this paper, Intelligent characters using IoT based lifelog data have been developed and qualitative/quantitative data are collected and analyzed in order to systematically grasp emotions of users. For this, qualitative data through the social network service used by the user and quantitative data through the wearable device are collected. The collected data is verified for reliability by comparison with the persona through esnography. In the future, more intelligent characters will be developed to collect more user life log data to ensure data reliability and reduce errors in the analysis process to provide personalized services.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.1-18
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• 2022

As digital technology converges into the e-commerce market across industries, online transactions have activated, and the use of online has increased. With the recent spread of infectious diseases such as COVID-19, this market flow is accelerating, and various product information can be provided to customers online. Providing a variety of information provides customers with various opportunities but causes difficulties in decision-making. The recommendation system can help customers to make a decision more effectively. However, the previous research on recommendation systems is limited to only quantitative data and does not reflect detailed factors of products and customers. In this study, we propose an intelligent recommendation system that quantifies the attributes of products and customers by applying text mining techniques to qualitative data based on online reviews and integrates the existing objective indicators of total star rating, sentiment, and emotion. The proposed integrated recommendation model showed superior performance to the overall rating-oriented recommendation model. It expects the new business value to be created through the recommendation result reflecting detailed factors of products and customers.