• Journal of Korea Society of Digital Industry and Information Management
• /
• v.17 no.2
• /
• pp.37-45
• /
• 2021

In this study, we want to analyze the difference in cost structure for the LAN audience system, which emerged as an alternative to the existing audience system due to the influence of Covid-19, and to analyze the utilization of the LAN audience system. To this end, the incremental cost difference between the existing audience system and the LAN audience system in the production of the broadcast program was compared and analyzed through the broadcasting production case by the actually performed LAN audience system. According to the research, the existing audience system has a linear cost structure that increases with the number of audience participants, while the LAN audience system has a calculated cost structure that gradually increases with the range of audience participants. These findings indicate that the LAN-line audience system costs more than the audience system, but the total cost is lower than the audience system for a certain number of people or more. This is a supplement to the existing audience system, which could not attract more audiences due to the lack of production costs, suggesting that the online audience system plays a role in supplementing the open broadcasting production system.

• Journal of Korea Multimedia Society
• /
• v.23 no.9
• /
• pp.1139-1146
• /
• 2020

Recently, as e-learning technology advances, interaction and data exchange between lecturers and learners have become very important. In addition, accuracy of data delivery and efficiency of system implementation should be ensured. Considering these aspects, SignalR is the most suitable communication method for constructing an audience response system in e-learning. Existing audience response systems require separate wireless devices and have problems with system compatibility. SignalR, on the other hand, is capable of operating in all environments including PC programs, web, Android, and iOS, and has an advantage of being easy to develop applications. As such, SignalR is widely used in chatting functions for small scale, real-time communication system, and it has never been used to implement an audience response system. Thus, for the first time in this paper, an audience response system using SignalR was proposed and an experiment was conducted on whether it was applicable at the e-learning education field. Therefore, from the results fo an experiment, a variety of e-learning environments can be built through the audience response system using SignalR proposed in this paper.

• Journal of Families and Better Life
• /
• v.19 no.6
• /
• pp.95-112
• /
• 2001

The purpose of this study was to develop an Imaginary Audience Reduction Program and examine the effectiveness of using the program on improving female adolescents' self-esteem. Based on the results from the study, 10-session-Imaginary audience reduction program was developed. Then the researcher conducted the Imaginary Audience Reduction Program for 72 female adolescents from 4, May 2000 to 7, July 2000 at the girls'middle school in Daegu. For examining the effectiveness of using the program, the research instruments were Self-Esteem Inventory(SEI; Coopersmith, 1967) and New Imaginary Audience Scale(NIAS; Lapsley, FitzGerald, Rice & Jackson, 1989). The research instruments used for pre-post-follow up tests. The Data were analyzed by Repeated Measure ANOVA. There were statistically significant differences in self-esteem and Imaginary audience. Results revealed that adolescents who took the Imaginary Audience Reduction Program consistently reported the improvement of their self-esteem level and the reduction of their Imaginary audience level. The implication of study findings will be discussed.

• The Journal of the Korea Contents Association
• /
• v.18 no.9
• /
• pp.661-674
• /
• 2018

This paper studies how the audience perceives the types of classical performances in their performance choice, analyzes its effects on performance invigoration, and investigates how such an audience perception affects the marketing application of performance on the supply side. For this, based on data of performance programs delivered in five representative concert halls for last three years as well as the classification of previous literature, we classified performance types into five categories such as Authentic classic, Omnibus, Lecture, Crossover and Mixture type. And then, we surveyed the audience of classical music. From statistical analyses, we found first that the audience perceives the types of classical performances and utilizes their perception as an element in choosing performances. Second, the perception of classical performance types has significant effects on audience development and progress in circumstances of high audience acceptance and satisfaction. Finally, this result confirms that suppliers can employ this audience perception as a marketing strategy by setting target audience based on such perception.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2007.11a
• /
• pp.157-158
• /
• 2007

This is an interior design for a furniture & lighting design exhibition. The concept of design is to secure the smooth flow planning of an audience and effective direction of an exhibit Design content include 1) installation(passage of light) to guide an audience from entrance to right side of the exhibition space to prohibit the flow dispersion and keep smooth continual circulation flow plan 2)image-wall to introduce exhibition 3)installation to help the global understanding of exhibit 4)exhibition stand design considering proper height of audience's eye.

• The Journal of Art Theory & Practice
• /
• no.5
• /
• pp.83-107
• /
• 2007

The continuous struggle to establish virtual reality on the stage during the history of Western Theater has been centered upon the development of scenographic setting and devices. It began with the Classical Greek drama where the place of performance became separated from the place of the audience. These two places were united as the orchestra - the place of the Dionysiac festival in the earliest stage of the Greek theater. And the skene, once a storage building outside the theatrical area, became an essential factor of the scenic space to provide illusion of the other world where the actors dwell. As a natural consequence it followed the structural change of Roman theater where the stage became a high and wide platform and the skene converted into the permanent stone scaenae frons. Such a tradition of the Classical theater was revived in Italian Renaissance and Baroque theater, which succeeded Vitruvius' concept of scaenographia as well as the vestiges of Imperial Roman theater. The cases of Serlio, Palladio, and Andrea Pozzo reveal the way how Western theater conjured the fictional space by traditional representational scenery, including architectural background setting and painted devices. It resulted in the physical and emotional division of actors' space and audience's space. The rejection of representational scenery upon the stage by avant garde artists like Edward Gordon Craig in the early years of the twentieth century should be interpreted as an attempt to recover an emotional attachment of actors and the audience, which was the case of Greek antiquity. This new scenogrpahic endeavor in modern theater is to challenge the main purpose of traditional scaenae frons to establish the boundary of the illusional 'scene' of performance where the audience should remain as passive spectators, and instead, to try to unite the action of actors and the audience upon the stage as a 'place'.

• Journal of Intelligence and Information Systems
• /
• v.18 no.1
• /
• pp.39-57
• /
• 2012

Recently, due to the introduction of high-tech equipment in interactive exhibits, many people's attention has been concentrated on Interactive exhibits that can double the exhibition effect through the interaction with the audience. In addition, it is also possible to measure a variety of audience reaction in the interactive exhibition. Among various audience reactions, this research uses the change of the facial features that can be collected in an interactive exhibition space. This research develops an artificial neural network-based prediction model to predict the response of the audience by measuring the change of the facial features when the audience is given stimulation from the non-excited state. To present the emotion state of the audience, this research uses a Valence-Arousal model. So, this research suggests an overall framework composed of the following six steps. The first step is a step of collecting data for modeling. The data was collected from people participated in the 2012 Seoul DMC Culture Open, and the collected data was used for the experiments. The second step extracts 64 facial features from the collected data and compensates the facial feature values. The third step generates independent and dependent variables of an artificial neural network model. The fourth step extracts the independent variable that affects the dependent variable using the statistical technique. The fifth step builds an artificial neural network model and performs a learning process using train set and test set. Finally the last sixth step is to validate the prediction performance of artificial neural network model using the validation data set. The proposed model is compared with statistical predictive model to see whether it had better performance or not. As a result, although the data set in this experiment had much noise, the proposed model showed better results when the model was compared with multiple regression analysis model. If the prediction model of audience reaction was used in the real exhibition, it will be able to provide countermeasures and services appropriate to the audience's reaction viewing the exhibits. Specifically, if the arousal of audience about Exhibits is low, Action to increase arousal of the audience will be taken. For instance, we recommend the audience another preferred contents or using a light or sound to focus on these exhibits. In other words, when planning future exhibitions, planning the exhibition to satisfy various audience preferences would be possible. And it is expected to foster a personalized environment to concentrate on the exhibits. But, the proposed model in this research still shows the low prediction accuracy. The cause is in some parts as follows : First, the data covers diverse visitors of real exhibitions, so it was difficult to control the optimized experimental environment. So, the collected data has much noise, and it would results a lower accuracy. In further research, the data collection will be conducted in a more optimized experimental environment. The further research to increase the accuracy of the predictions of the model will be conducted. Second, using changes of facial expression only is thought to be not enough to extract audience emotions. If facial expression is combined with other responses, such as the sound, audience behavior, it would result a better result.

• Journal of Information Technology Services
• /
• v.11 no.2
• /
• pp.229-242
• /
• 2012

The MICE(Meeting, Incentive travel, Convention, and Exhibition) industry grows steadily. Especially, exhibition industry plays an important role as the effective sales and marketing tools. However, lots of studies have focused on the flow analysis of audience traffic, booth recommendation or formulaic interactions between audiences and contents in the exhibition hall. In this study, we proposed an intelligent Interactive system considering audience's response for providing personalized exhibition service. First, we extracted components of the system architecture through the previous studies. Second, we suggested the system architecture and scenarios for intelligent interactions between audiences and contents. We hope that the proposed system will strengthen the basis for implementing interactive system in the exhibition industry.

• The Journal of Society for e-Business Studies
• /
• v.3 no.1
• /
• pp.137-154
• /
• 1998

To facilitate a better understanding of the benefits, problems, and issues associated with the use of Internet and (World Wide) Web in business, we conducted an exploratory study on the use of Internet and Web by Small and Medium Enterprise(SME) using the Action-Audience Model. The Action-Audience model categorizes business use of the Web: to provide information (Informational Web), to carry out business transactions (Transactional Web), and to support business activities (Operational Web). The model also recognizes different audiences of the Web. The study shows that SMEs are in the early stage of Web use.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.2
• /
• pp.47-54
• /
• 2015

Emotional reaction of audience can be decided by observing reaction of audience for content. We can use a method to analyze visual data from video camera to detect reaction of audience fast and economically. This paper proposes the method and system to observe audience reaction from visual data of audience and define via neural network. Also we propose a new method to detect automatically an area for audience reaction with face detection to improve a fixed area assignment method which has a limitation not to adapt depending on audiences. Additionally, the evaluation is implemented to show that the proposed method and system is effective. The proposed method showed the performance elevation of 10.5 % (7.75 hit ration) compared to a fixed area assignment method.