• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.135-136
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• 2014

• Journal of Korea Multimedia Society
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• v.18 no.5
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• pp.599-609
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• 2015

As smartphone usage has increased recently, so has smartphone addiction. Many of the smartphone users, however, do not even recognize the risk of smartphone addiction. In this experiment, smartphone users have been categorized into two groups by smartphone addiction measure (S-measure) developed by 2011 National Information Society Agency (NIA): A high risk group and a normal group. The changes of brain waves have been observed when the subjects were watching emotional videos of anger, sadness, happiness, and fear. The results show that the values of FP1 and FP2 (frontal lobe) theta band of the high risk group have been measured to be high, which indicate anxiety disorder. Although happiness and fear videos showed no difference between these groups, sadness and anger videos showed significantly different results for these groups: the brain waves of the high risk group showed higher values than those of the normal group. Therefore, this experiment showed that the high risk group takes feelings of sadness and anger more sensitively than the normal group.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.659-662
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• 2008

In sports videos, text provides valuable information about the game such as scores and information about the players. This paper proposed a robust recognition method of player name in golf videos. In golf, most of users want to search the scenes which contain the play shots of favorite players. We use text information in golf videos for robust extraction of player information, By using OCR, we have obtained the text information, and then recognized the player information from player name DB. We can search the scenes of favorite players by using this player information. By conducting experiments on several golf videos, we demonstrate that our method achieves impressive performance with respect to the robustness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1595-1613
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• 2017

The IR camera and laser-based IR projector provide an effective solution for real-time collection of moving targets in RGB-D videos. Different from the traditional RGB videos, the captured depth videos are not affected by the illumination variation. In this paper, we propose a novel feature extraction framework to describe human activities based on the above optical video capturing method, namely spatial-temporal texture features for 3D human activity recognition. Spatial-temporal texture feature with depth information is insensitive to illumination and occlusions, and efficient for fine-motion description. The framework of our proposed algorithm begins with video acquisition based on laser projection, video preprocessing with visual background extraction and obtains spatial-temporal key images. Then, the texture features encoded from key images are used to generate discriminative features for human activity information. The experimental results based on the different databases and practical scenarios demonstrate the effectiveness of our proposed algorithm for the large-scale data sets.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.85-96
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• 2022

The MZ Generation likes watching YouTube videos produced by senior influencers despite the big age gap. In addition, the final goal of collaborative YouTube videos between senior influencers and brands is to increase sales. Accordingly, this study examined this interesting phenomenon and aimed to provide useful insights for creating YouTube videos targeting the MZ generation. This study was divided into two parts. Study 1 explored the viewers' perceived benefits by looking at the YouTube video comments of a senior fashion influencer, and then classified the perceived benefits into informational, psychological, and hedonic benefits. Study 2 analyzed the relationships among the viewers' perceived benefits (informational, psychological, hedonic benefits), attitude toward a brand, and behavior intention. Study 2 found that only informational benefits, among the three perceived benefits, enhanced attitudes toward a brand, thereby affecting behavior intention. Based on the results of two sub-studies, this study highlights the importance of informational benefits to maximize the marketing effects employing the collaborative YouTube videos of senior influencers and brands.

• The Journal of Economics, Marketing and Management
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• v.11 no.4
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• pp.41-52
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• 2023

Purpose: The study examines the effect of TechTubers' unboxing videos on consumer buying behavior by highlighting the role of product touch, visual and verbal sensory cues. The study integrates the vicarious touch and the dual coding theory to analyze the Smartphone purchase behavior of Generation Z. Research design, data and methodology: The study collected data from 349 respondents who were viewers of YouTube unboxing videos. A structured questionnaire using a 5-point Likert scale was employed as a survey instrument. Convenience sampling technique was utilized to select the samples. The data were analyzed using structural equation modeling (SEM). Results: Results reveal that vicarious touch and verbal description have a statistically significant positive effect on Generation Z's purchase intention of Smartphone. Moreover, purchase intention positively affects Generation Z's actual purchase behavior of Smartphone. However, the visual images did not significantly affect purchase intention. Conclusions: The study offers significant theoretical and practical implications. The study adds new knowledge to the extant literary field by highlighting the impact of digital product presentation in the form of Unboxing videos on purchase intention for technology products. Moreover, the study suggests content sponsorship and advertising opportunities for marketers in collaboration with the TechTubers on YouTube unboxing video platform.

• International Journal of Contents
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• v.18 no.1
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• pp.27-39
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• 2022

Short videos are becoming more popular in mobile Internet age. Not only people's media consumption patterns have been changed by the rise of this new media form, but also it has posed challenges to public psychological well-being. For many netizens, their entertainment needs have been met by watching short videos. However, many side effects, such as addiction and anxiety, reduce users' subjective well-being instead of satisfying the entertainment motivation after watching short videos. Therefore, it has become a significant research problem in short videos to figure out how to get audiences to watch short videos on a regular basis while avoiding side effects like anxiety and addiction and improving audiences' subjective well-being. Based on the theory of Internet addiction, this study analyzed short video users using the 2×2×2 research method and explored the relationship between the length of use, addiction, anxiety, and subjective well-being of short video users. The results showed that short video users with different usage lengths showed significant differences in addiction, anxiety, subjective well-being, and online social support; innovative different short video users showed significant differences in addiction and anxiety, as well as a triadic relational interaction of short video users' anxiety under the interaction with self-efficacy and online social support. This study contributes to the advancement of internet addiction theory research and application, assisting short video users in avoiding addiction and anxiety, and improving the subjective well-being of short video users, thereby promoting the growth of the short video industry.

• Restorative Dentistry and Endodontics
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• v.46 no.1
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• pp.8.1-8.7
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• 2021

Objectives: The reliability and educational quality of videos on YouTube for patients seeking information regarding instrument separation in root canal treatment were evaluated. Materials and Methods: YouTube was searched for videos on instrument separation in root canal treatment. Video content was scored based on reliability in terms of 3 categories (etiology, procedure, and prognosis) and based on video flow, quality, and educational usefulness using the Global Quality Score (GQS). Descriptive statistics were obtained and the data were analyzed using analysis of variance and the Kruskal-Wallis test. Results: The highest mean completeness scores were obtained for videos published by dentists or specialists (1.48 ± 1.06). There was no statistically significant difference among sources of upload in terms of content completeness. The highest mean GQS was found for videos published by dentists or specialists (1.82 ± 0.96), although there was no statistically significant correlation between GQS and the source of upload. Conclusions: Videos on YouTube have incomplete and low-quality content for patients who are concerned about instrument separation during endodontic treatment, or who experience this complication during endodontic treatment.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.6
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• pp.1057-1079
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• 2023

This paper examines the use of semiotics for analyzing fashion advertisements in the fast fashion industry. While previous studies have explored the use of semiotics in various industries, the application of this theory in the fashion sector-especially regarding fast fashion's commercial videos related to sustainability-remains underexplored. The paper adopts Roland Barthes' Semiotics Theory to analyze the advertising videos related to the sustainability of major fast fashion brands such as H&M, MANGO, and ZARA. The research approach involved reviewing all commercial videos related to sustainability on these brands' official YouTube accounts and conducting comprehensive analyses of advertisements using the binary opposition analysis framework. The paper's findings indicate that these commercial videos serve as a platform to mold a brand's sustainability image and promote the notion that fast fashion brands are leading the charge toward sustainability, preparing for an unpredictable future, guiding people toward hope, and offering ultimate freedom. This research high-lights the necessity for a critical examination of advertising videos related to sustainability in the fast fashion industry to guarantee accountability and transparency.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.1-10
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• 2024

While technologies such as the 4th revolution and artificial intelligence (AI), which create new value through the convergence of intelligent information technology, are becoming hot topics, the beauty industry is rapidly developing and combining information and communication technology to produce beauty items based on smartphones among mobile technologies. As the area of expands, YouTube is forming a network through various means of information. In particular, beauty-related YouTube videos are a field of great interest and popularity among the public. By classifying the makeup characteristics according to the emotional images shown in domestic YouTube videos by emotional image and identifying the characteristics of makeup, the needs for watching YouTube makeup videos are identified. We aim to build trust in the delivery of information about makeup. The emotional images were divided into four types: 'modern', 'natural', 'gorgeous', and cute. Among the domestic makeup YouTubers, Pony, Isabe and Shinnim, Lamuque were selected. By organizing more diverse makeup-related content systematically and creatively, we expect to have a positive influence on k-makeup not only domestically but also overseas. We aim to provide basic data for follow-up research on makeup YouTuber videos in the field of cosmetology and contribute to marketing plans for the development of the beauty content industry and establishment of promotional strategies.