• Communications of the Korean Institute of Information Scientists and Engineers
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• v.30 no.4
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• pp.42-50
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• 2012

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.651-663
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• 2012

Networked digital signage downloads necessary multimedia contents from a large-sized storage on WAN to its local disk of a limited size before starting their playback. If the required time to download the entire contents gets longer, a start time to play the contents at the digital signage could be delayed. In this paper, we propose a hybrid storage architecture that not only inserts an iSCSI storage layer between the existing local disk and the WAN storage, but offers a contents caching scheme in order to obtain all the necessary contents in digital signage rapidly. The proposed caching scheme determines how to place the downloaded contents both in the local disk and the iSCSI storage. Uniquely, the proposed caching scheme manages the iSCSI storage space by dividing it into two regions: (1) in one region, the digital signage can play the contents directly without downloading them into the local disk; (2) in the other region, the digital signage cannot. Performance evaluations on a simulator and an actual system with workloads of various contents show that a contents-downloading time of the hybrid storage architecture is at maximum three times shorter than that of the existing storage architecture.

• Journal of Information Processing Systems
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• v.17 no.3
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• pp.599-614
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• 2021

This paper proposes a digital signage system based on an intelligent recommendation model. The proposed system consists of a server and an edge. The server manages the data, learns the advertisement recommendation model, and uses the trained advertisement recommendation model to determine the advertisements to be promoted in real time. The advertisement recommendation model provides predictions for various products and probabilities. The purchase index between the product and weather data was extracted and reflected using correlation analysis to improve the accuracy of predicting the probability of purchasing a product. First, the user information and product information are input to a deep neural network as a vector through an embedding process. With this information, the product candidate group generation model reduces the product candidates that can be purchased by a certain user. The advertisement recommendation model uses a wide and deep recommendation model to derive the recommendation list by predicting the probability of purchase for the selected products. Finally, the most suitable advertisements are selected using the predicted probability of purchase for all the users within the advertisement range. The proposed system does not communicate with the server. Therefore, it determines the advertisements using a model trained at the edge. It can also be applied to digital signage that requires immediate response from several users.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.4
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• pp.232-237
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• 2019

It has recently been combined with advanced technologies such as AR and VR, and its application range is expanding to various forms of smart signage. However, until now, digital signage service that reaches us is installed in many floating populations such as bus stops, elevators, and banks and is used in the form of providing news, weather, and advertisements. In addition, large companies, government offices, and outdoor advertising companies occupy the market. The use of such services in small and medium-sized businesses and small retail stores is costly and expensive to manage. Also, it is difficult to generalize the market because services and solutions are being deployed in the market in the form of top-down. Therefore, in this paper, we proposed a digital signage system for transmitting a remote video advertisement that uses a show window in front of the store as a beam project screen for small retail stores, and can remotely set and manage and update it in OSGi service platform.

• Journal of the Korea Convergence Society
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• v.8 no.6
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• pp.1-7
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• 2017

This study examined how the memory effect and the brand attitude effect differ according to the interaction (high / low) and the involvement (high / low) of digital signage. The two-way MANOVA analysis using SPSS 18 was used for the empirical analysis. The results of this study are as follows: First, GRM is recalled if the level of interactivity and inffence of digital signage is low, but if both conditions are high, ARM recalls. Second, if the interaction of digital signage is low and the level of engagement is high, a lot of memory information is formed that forms the overall attitude of the product. In addition, even though the interaction level is high and the engagement is low, the attitude cognitive response through the overall evaluation is formed rather than the attribute information. Third, brand attitude was positive when interactivity level was high and engagement level was high.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.257-267
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• 2015

We propose a vehicle-mounted, location-aware mobile digital signage system that can be used for public transportation through mobile communication. This paper proposes the installations of the LED display panels at the backside of the bus., which display traffic information to cars behind the bus. Information to be displayed would include, but is not limited to, road information, public commercials and private commercials. We propose the system architecture and further implement the prototype of mobile digital signage system for demonstration. The system is based on the Client-Server system. Each bus has a client terminal which detects the current location by a GPS receiver and sends its location information to the server using mobile communication function. The terminal device receives advertisements and traffic information from the server and displays it to the large LCD or LED panel installed at the inside and outside of the bus. We use the Android smartphone as a client system, which inherently equipped with GPS and mobile communication function. GPS detects the location of bus and reports its geo-location data to the traffic information center server via a wireless communication network. On the server side, we developed a specially designed control server, where it communicates with the other traffic information center and updates and manages the databases contents being displayed by each position. The server contains location dependent variable information and returns selected information back to the vehicle in real time. Spatial database is used to process location based data. Server system periodically receives the real time traffic information from the road information center database. And it process the information by bus location and bus line number. In this paper, we propose a mobile digital signage service and explain the system implementation of this service.

• The Research Journal of the Costume Culture
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• v.26 no.6
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• pp.836-851
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• 2018

Digital signage in a smart store would engage and invoke responses from consumers because good in-store experiences are more important than ever. Thus, the present study investigates consumer perceptions of interactive digital signage integrating technology acceptance model. Specifically, the current study examined 1) the effects of personal and fashion innovativeness on interactivity; 2) the effect of interactivity on perceived usefulness, ease of use, and enjoyment; and 3) the effects of perceived usefulness, ease of use, and enjoyment on intentions to use the products and the store, visit the store, and engage in word-of-mouth. As a pre-study, two researchers visited the smart stores of six brands in Seoul, all of which integrate various technologies in the fashion field. A video clip was developed as a stimulus to the study. A total of 214 responses were gathered and analyzed. The results were as follows. Personal innovativeness has a significantly positive effect on interactivity, whereas fashion innovativeness has no significant effect. Interactivity had positive effects on the perceived usefulness, ease of use, and enjoyment. Consumer responses (i.e., intentions to use, visit, and engage in word-of-mouth) were predicted by usefulness and enjoyment, but not by ease of use. The findings of this study could provide the fashion industry and retailers practical and valuable insights into enhancing consumers' in-store experiences through the use of interactive digital signage.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1150-1157
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• 2020

It is expected that if a viewer feels the higher realism, it will increase efficiency at 3D hologram. Therefore, the purpose of this study is to analyze the effects of the evaluation factors on realism for digital signage using 3D holograms. For empirical analysis, the evaluation factors were derived and built up hypothesis(The evaluation factors of digital signage using 3D holograms will affect the realism). As a result of the experiment, Hypothesis 1 (Social presence) and 3 (Harmony with the space) were adopted while Hypothesis 2 (Graphic's elaboration) was rejected. Finally, research has shown that in order to improve the realism of digital signage using 3D holograms, the contents should be produced in consideration of presence so that the viewers could feel as if they were actually inside of contents rather than expressed extremely well made higher image resolution. Hence, the 3D hologram contents should be installed in a place where it would fit well with the space around it.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.67-76
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• 2016

Defining of signage market types is an issue of great interest for both service providers and consumers. Through an interview with an expert with a deep understanding about digital signage in early-media stage, and based on analysis results, this study induced three types of signage market types. Each signage market type can be explained by their similar thoughts, opinions, concepts, and behaviors, but are dependent on the differences in a user experiences and knowledge. The study named the interactive signage market as Type 1, the network signage market as Type 2, and the signage-coupled-with-other-media market as Type 3.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.21-27
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• 2019

The study empirically analyzed the effects of content attitudes and recall on digital signage advertising appeal (information appeal vs. image appeal) and interactivity level (low vs. high). As a result, first, it was found that a moderately low level of interactivity had a positive effect on content attitudes and recall than when the level of digital signage was extremely high. In addition, at moderately low levels of interactivity, information appeals had higher content attitudes and recalls than image appeals. Second, the content of image appeal has a positive effect on attitude when the digital signage level of interactivity is high, and the image recall ad and information appeal ad have negative effects on recall. Third, the low level of interactivity of digital signage has a positive effect on the content attitude and recall of information appeal. With the advent of digital media in recent years, concerns about how to construct the level of interactivity and information content on a strategic level are increasing in practice. The results of this study are expected to suggest the direction of the strategic grounds for this.