• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.37-45
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• 2019

The This study aimed at clarifying that the cognitive interpretation code is essential for college students to read the correct culture while discussing the producer's story production system for creative advertising content and the process of interpreting the meaning of advertisers and the formation of principles and beliefs. The production of advertising content aimed at persuasion should first identify anachronistic reason system based on the target audience's perception principle. A concise analysis of the experiment found key clues that confirmed that a sample of the producer's intended story would be inconsistent with the clues of information that a college student could remember. I have tried to organize a semantic analysis tool that combines these key clues and as a tool for reading culture of the right time for college students. As a result, university student inmates were able to identify one side of positive communication: reading a new cognitive symbol culture based on their subjective experience and beliefs, rather than analyzing cross-sectional analysis of the primary language and non-verbal expressions of their advertising contents. In the future, if an advertising content story producer works to identify such a process in advance, it will help persuade inmates.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.110-118
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• 2024

This study examines factors influencing nonusers' resistance to the adoption of the metaverse, focusing on propagation mechanisms. It elucidates the role of innovation resistance within the metaverse adoption process. We applied the Innovation Resistance Model in the context of the metaverse and considers three major groups of factors influencing resistance to the metaverse: innovation characteristics (perceived usefulness, compatibility, perceived risk, and complexity), consumer characteristics (personal innovativeness), and propagation mechanisms (mass media, online media, and personal communication). An online survey of college students who do not use the metaverse revealed that perceived usefulness, compatibility, personal innovativeness, and online media were negative predictors of resistance to the metaverse. Conversely, perceived risk, mass media, and personal communication were positive predictors of resistance to the metaverse. Furthermore, innovation resistance was found to play a mediating role in the metaverse adoption process. Drawing upon the findings, we suggested marketing strategies to decrease resistance to the metaverse.

• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.194-195
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• 2003

• Cartoon and Animation Studies
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• s.15
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• pp.179-192
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• 2009

This study investigates the effects of empathy responses towards animated spokes-characters in advertising on brand likability. This study also examines the mediating role of cognitive and affective responses towards character advertising in the effect process of empathy. Statistically, several significant results are found. First, empathy has positive effects on cognitive responses and affective responses. Second, both cognitive and affective responses have positive influence on brand likability, but the effects of cognitive responses show relatively weaker than those of affective responses. Third, empathy has a positive influence on brand likability mediated by cognitive responses, but affective responses as a mediator do not show statistically significant differences. The results of this study indicate consumers can have emotional responses to advertising characters just as they do to human information sources. And the results also imply that enhancement of the empathy intensity should be considered to make effective animated characters in advertising, and that advertising appeals should be practiced to form cognitive responses positively and strongly to strengthen consumers' empathy responses.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.8
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• pp.3-12
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• 2016

Bluetooth Low Energy (BLE) protocol has attracted attention as a promising technology for low data throughput and low energy wireless sensor networks. Fast device discovery is very important in a BLE based wireless network. It is necessary to configure the network to work with minimized energy consumption because the BLE network nodes are expected to operate a long time typically on a coin cell battery. However, since it is difficult to obtain low energy and low latency at the same time, the BLE standard introduces wide range setting of parameters related to device discovery process and let the network operators to set up parameter values for the application. Therefore, it is necessary to analyze the performance of device discovery according to the related parameter values prior to BLE network operation. In this paper we analyze the expected value and the cumulative distribution function of the number of advertisements for device discovery in the BLE network. In addition, we propose a scheme for controlling the interval between advertising events that can improve the performance of device discovery without increasing energy consumption.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.140-148
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• 2023

With the OTT media market growing rapidly, the significance of trustworthy data verification and certification cannot be emphasized enough. This study delves into the crucial need for such measures in South Korea, exploring the steps involved, the technological and policy-related considerations, and the challenges that may arise once these measures are put into place. Drawing on in-depth interviews and the analytical hierarchy process (AHP), this study surveyed various stakeholder groups, both directly and indirectly related to OTT data authentication and certification. By assessing the severity of OTT data-related issues and identifying the requirements for reliability-improvement policies, participants shared their valuable insights and opinions on this pressing matter. The survey results clearly indicate a divided opinion among stakeholders and industry experts on the reliability of OTT data, with some expressing trust while others remain skeptical. However, there was a consensus that advertising-based AVOD is more reliable than SVOD. By analyzing the priorities of authentication and verification, this study paves the way for the establishment and operation of a Korean MRC (KMRC), centered on the OTT media industry. The KMRC will serve as a vital platform for ensuring the authenticity and accuracy of OTT data in South Korea, providing businesses and industry players with a reliable source of information for informed decision-making. This study highlights the pressing need for reliable data authentication and certification in the rapidly growing OTT media market, and provides a persuasive case for the establishment of a KMRC in South Korea to meet this critical need.

• Journal of Korea Entertainment Industry Association
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• v.13 no.5
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• pp.145-153
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• 2019

The present study is a discussion in which the flow of 'social and cultural values' inherent in the creative advertising story is considered against Bart's symbolism and the creative symbol system, and attempted to reproduce the work through the cognitive thinking of the inmates. The interaction of correct social and cultural communication is not just a strategy for persuasion and effectiveness. Starting with these issues, I thought that experiencing the 'symbolic production' and 'cognition interpretation' of the most creative, aesthetic and implicit advertising stories was the realization of concrete cultural values. The reason why I pay attention to advertising as a target tool of the original school is that it gives anyone access to the social and cultural values based on the productivity of meaning, the sharing of meaning and social small-call work by paying attention to the most implicit symbols in a short period of time. I also think that with the trend of the times, it is well worth it as a tool of positive communication for social and cultural member harmony and solving future problems. The reality of social and cultural advertising stories conducted in conjunction with the analysis of meaning at the cognitive thought level is very appropriate to apply in creative classes for college students. The Dong-A Ilbo is a discussion that suggested that the work of realizing the cognitive meaning of advertising stories, a "symbol complex" based on creativity in a complex, multi-media era, will become an age-old communication tool to join university students' strategies for solving future problems

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.2
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• pp.224-234
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• 2004

This paper is an exploratory research to identify the structural model suitable for the fashion brand attitude effect process of VMD structural elements. Under the circumstances of severe competitiveness in price-conscious casual brand, we intended to find measurement model of VMD effect to establish plausible brand specific VMD strategy. Since VMD is regarded as one of marketing stimuli like advertising, we introduced Mackenzie, Lutz, and Belch(1986)＇s advertising effect measurement model for the analysis. For the study, VMD structural elements were composed of controllable visual factors from store environment at the aspect of marketing strategy. As a result, the reciprocal mediation hypothesis model shows the best fit for the VMD stimuli. That is, under the cognition of interaction between VMD attitude and brand attitude, strategy must be considered to strengthen the attitude relation between VMD and brand. The second fit model was the dual mediation model which was adopted from Petty and Cacioppo＇s ELM. According to this, when you make use of VMD strategy, it is needed to consider both of affective and cognitive factors of VMD.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2008.10b
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• pp.235-245
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• 2008

The interactive advertisement is already on satellite and cable broadcasting hereafter the introduction of this system is concerned on terrestrial programs. This study is to research the effectiveness of interactive TV advertising focusing on factors of involvement and interaction. Study started for the effect measurement of interactive television advertisement. Interactive television advertisement has different concept than existing television advertisement. Thus, the effect also needs to examine in other methods. Study is mainly focusing on the characteristics of interactive and the experiments, which was based on existing data, for measurement of effect. In the experiments, the characteristics were categorized in a search time, a number of searched pages about interactive television advertisement. The research finds that the involvement of the audience increases when the interaction of advertising attitude, brand attitude, and purchase intentions also increases. And so, a successful interactive TV advertisement results in longer searching hours and greater it visits by the audience when the interaction factors are considered and increased. By study of consumer's characteristics and behavior, a new method of the effect measurement for interactive television advertisement is provided. The new method includes not only existing measurement elements of television advertisement which are attitude on advertising and brand, and customers' purpose, but also the features of interactive television advertisement, which are search time, a number of searched pages. Recently added features provides data of the effect on high/low groups and it contributes to the process of interactive television advertisement. Study on interactive television advertisement will be helpful to plan an effective strategy by suggesting the theoretical evidence of its effect.

• Journal of Information Processing Systems
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• v.18 no.2
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• pp.245-257
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• 2022

In the Internet of Things (IoT) era, the types of devices used by one user are becoming more diverse and the number of devices is also increasing. However, a forensic investigator is restricted to exploit or collect all the user's devices; there are legal issues (e.g., privacy, jurisdiction) and technical issues (e.g., computing resources, the increase in storage capacity). Therefore, in the digital forensics field, it has been a challenge to acquire information that remains on the devices that could not be collected, by analyzing the seized devices. In this study, we focus on the fact that multiple devices share data through account synchronization of the online platform. We propose a novel way of identifying the user's interest through analyzing the remnants of targeted advertising which is provided based on the visited websites or search terms of logged-in users. We introduce a detailed methodology to pick out the targeted advertising from cache data and infer the user's interest using deep learning. In this process, an improved learning model considering the unique characteristics of advertisement is implemented. The experimental result demonstrates that the proposed method can effectively identify the user interest even though only one device is examined.