• Archives of design research
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• v.19 no.2 s.64
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• pp.229-240
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• 2006

It is very important issue in information design to improve information efficiency by adapting interesting factors in changing circumstance of information communication. The concept of infotainment is utilized in designing information contents in a way of combining entertainment factors with information itself based on various media and representation technologies. The information arousing user's attention, which includes interesting factors, is persuasive message comppared to the informative message conveying only information itself. The reason why infotainment is persuasive is because it makes the user absorb deeply in the information during the process of understanding by sensorial stimuli, cognitive interest, and situational interest. The sensorial stimuli originates from the expression elements of information design. The cognitive interest from the user's intellectual activities has a try to overcome mental block when user confronts with the redundant expression in the manner of unexpectedness and inharmony. The situational interest originates from user's optimum experience by the flow of satisfaction. Therefore, the attribute of infotainment is defined with the stimuli, the redundancy, and user's satisfaction. Its design elements consist of physical factors, organizational factors, and psychological factors. The physical factors through sensorial stimuli are utilized by visual manipulation such as visual analogy or visual pun, multimedia, and moving expression. The organizational factors through redundant expression bring user's imagination by adapting storytelling, event, and interaction in the process of understanding information. The psychological factors through expression of entertainment interests such as humor, play, and game give users psychological satisfaction with the flow. In conclusion the concept of infotainment can be adapted when the design factors should be integrated with its attributes, or the conveying information should go well with its purpose and characteristics.

• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.403-410
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• 2009

This paper is to find out which factors affect preference and revisiting on brand personality according to cross-national college students in Korea and China, and to suggest distinguished strategies for attracting core customers continuously on each country and restaurants. The questionary hand out each 150, then used for data analysis 142 in Korean, 122 in China. The results come up with; First, It couldn't compared huge gap for McDonald and Burger King in sampling. Second, three variables (successful, harmony, and western) are highly recognized brand personality in Korean. They should build up powerful image to communicate 20's ages. For Chinese that ranked highly three variables (Darling, Friendly, and Sincere), they reinforced warm-hearted image with special character, providing promotion coupon, and various event. Third, because 2 factors(Sincere and Sensitivity) had significant in preference for Korean and Chinese. It should be formed non-producted parts which are visual decoration, atmosphere, uniform and music. Also, 'feminine' had meaningful for Chinese. Fourth, 'Sincere' was connected directly in revisiting for Korean and Chinese. Trust Is prior to customer and brand. Also, for Korean, 'sensitivity' had significant. Therefore, it should make exciting surrounding, and atmosphere.

• Korean Journal of Cognitive Science
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• v.33 no.2
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• pp.109-133
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• 2022

Episodic memory consists of a core event and the associated contexts. Although the role of the hippocampus and its neighboring regions in contextual representations during encoding has become increasingly evident, it remains unclear how these regions handle various context-specific information other than spatio-temporal contexts. Using high-resolution functional MRI, we explored the patterns of the medial temporal lobe (MTL) and cortical regions' involvement during the encoding of various types of contextual information (i.e., journalism principle 5W1H): "Who did it?," "Why did it happen?," "What happened?," "When did it happen?," "Where did it happen?," and "How did it happen?" Participants answered six different contextual questions while looking at simple experimental events consisting of two faces with one object on the screen. The MTL was divided to sub-regions by hierarchical clustering from resting-state data. General linear model analyses revealed a stronger activation of MTL sub-regions, the prefrontal lobe (PFC), and the inferior parietal lobule (IPL) during social (Who), behavioral (How), and intentional (Why) contextual processing when compared with spatio-temporal (Where/When) contextual processing. To further investigate the functional networks involved in contextual encoding dissociation, a multivariate pattern analysis was conducted with features selected as the task-based connectivity links between the hippocampal subfields and PFC/IPL. Each social, behavioral, and intentional contextual processing was individually and successfully classified from spatio-temporal contextual processing, respectively. Thus, specific contexts in episodic memory, namely social, behavior, and intention, involve distinct functional connectivity patterns that are distinct from those for spatio-temporal contextual memory.

• Journal of Korean Tunnelling and Underground Space Association
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• v.19 no.1
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• pp.95-107
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• 2017

In this study, a preliminary study was undertaken for development of a tunnel incident automatic detection system based on a machine learning algorithm which is to detect a number of incidents taking place in tunnel in real time and also to be able to identify the type of incident. Two road sites where CCTVs are operating have been selected and a part of CCTV images are treated to produce sets of training data. The data sets are composed of position and time information of moving objects on CCTV screen which are extracted by initially detecting and tracking of incoming objects into CCTV screen by using a conventional image processing technique available in this study. And the data sets are matched with 6 categories of events such as lane change, stoping, etc which are also involved in the training data sets. The training data are learnt by a resilience neural network where two hidden layers are applied and 9 architectural models are set up for parametric studies, from which the architectural model, 300(first hidden layer)-150(second hidden layer) is found to be optimum in highest accuracy with respect to training data as well as testing data not used for training. From this study, it was shown that the highly variable and complex traffic and incident features could be well identified without any definition of feature regulation by using a concept of machine learning. In addition, detection capability and accuracy of the machine learning based system will be automatically enhanced as much as big data of CCTV images in tunnel becomes rich.

• Journal of Korean Society of Transportation
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• v.35 no.2
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• pp.116-128
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• 2017

Traffic accidents can be defined as a physical collision event of vehicles occurred instantaneously when drivers do not perceive the surrounding vehicles and roadway environments properly. Therefore, detecting the high potential events that cause traffic accidents with monitoring the interactions among the surroundings continuously by driver is the prerequisite for prevention the traffic accidents. For the analysis, basic data were collected to analyze interactions using a test vehicle which is equipped the GPS(Global Positioning System)-IMU(Inertial Measurement Unit), camera, radar and RiDAR. From the collected data, highway geometric information and the surrounding traffic situation were analyzed and then safety evaluation algorithm for driving vehicle was developed. In order to detect a dangerous event of interaction with surrounding vehicles, locations and speed data of surrounding vehicles acquired from the radar sensor were used. Using the collected data, the tangent and curve section were divided and the driving safety evaluation algorithm which is considered the highway geometric characteristic were developed. This study also proposed an algorithm that can assess the possibility of collision against surrounding vehicles considering the characteristics of geometric road structure. The methodology proposed in this study is expected to be utilized in the fields of autonomous vehicles in the future since this methodology can assess the driving safety using collectible data from vehicle's sensors.

• Journal of Korean Society of Transportation
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• v.30 no.4
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• pp.43-59
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• 2012

Assuming a completed Smart Highway road & communication environment that allows real-time information collection and transmission of road traffic condition ahead, the purpose of this study is to develop a plan for inducing a network-level safe driving pattern by providing road traffic condition and safety information to multiple drivers through a road information provision device. In this study, the device with a function that displays different colors according to the hazard level to the existing delineator has been named 'Smart Delineator'. Smart Delineator is a device that provides not only alignment information but also safety information for drivers to receive real-time warning information and intuitively recognize road traffic condition ahead so that drivers can respond. To examine the effects of safety driving inducement level on drivers, a simulation test was conducted using driving simulator as well as a satisfaction survey. The result showed that the Smart Delineator was able to identify the location of occurrence and affecting driving according pattern, either adhering to recommended speed or reducing speed according to the pre-defined hazard level.

• Journal of the Korean association of regional geographers
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• v.14 no.6
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• pp.680-697
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• 2008

Goryeong, the center of Daegaya's historic culture, has pushed tourism development utilizing Daegaya's historic cultural resource. The tourist's cognition level of Goryeong is very low and the tourists of Goryeong have been decreased compared with them of Gyeongbuk. However, Goryeong has a variety of cultural tourism resources and geographical proximity with Daegu, and the potential of it attracts the tourism market. This research examines the tourism demands and supplies of Goryeong and then recommend the improvemental aspect of tourism po1icy and the developmental aspect of tourism resource in Goryeong. Goryeong needs the tourism po1icy to cotstruct the system which supplies the useful tourism information to tourism organizations and firms and to create the sustainable tourism product innovation. The tourism development should be pushed in two ways: the revitalization of the developed tourism resources and the creation of tourism product.

• Korean Security Journal
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• no.46
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• pp.7-30
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• 2016

This study found the strategies for activating the security industry to utilize social network services based on the platform business model. This research was utilized for in-depth interview and IPA analysis. And use it was to check the contents and strategic improvement projects that can actually materialize and direction of the strategy. First, run a priority need area is a private center of community policing related portal development and operation, universal social networking service(SNS) utilizing expanded, professional training, IT-based security content management and operation of IT infrastructure security guards and security professionals up educational content development, online security guards and security professionals-up refresher training program development. Second, the area over the inventory capabilities increase the effectiveness of the security guards was constructed open-type comprehensive public information system. Third, the area needed to be reviewed are the individual security industry experts workers operating information channels, dedicated customer service and expanding the event of a private security guard & security service providers up. Fourth, the effectiveness of the insufficient area are discuss system improvements, the sharing of community policing closed Cameras for proposals for the expanded utilization of social networking services, private development organizations Social Network Service(SNS).

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.103-113
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• 2021

Rather than a directing method of existing animations, VR animation needs a different method of direction. Existing animations were displayed on a screen in movie theaters. But using an existing direction method for the 360° perspective in a VR animation makes it difficult for the user's gaze to move in a way the directors have intended. I analyzed 3 VR animations with a theoretical background of Rudolf Arnheim's visual perception theory and Bruce Block's visual factors that bring high attention. In the process of perception of space, focus on the gaze, movement of the gaze, the 'movement' factor was used most often to attract the gaze. An interactive VR animation attracts user's gaze by allowing users to participate in important points of the story. With an analysis of the animation, it proposed a gaze attraction through the movement of the character with an interaction directing method for reducing motion sickness. Also, it proposed intuitively attracting gaze movement by using GUI and attracting user's participation by using an interactive event with an interaction directing method of storytelling comprehension. With two types of directing proposal, we expect it to be utilized as a basic research method for attracting users to be immersed in storytelling while reducing cyber motion sickness, which is a problem in VR animation.

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.3-14
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• 2022

Autonomous equipment requires a large amount of data from various environments. However, it takes a lot of time and cost for an experiment in a real construction sites, which are difficulties in data collection and processing. Therefore, this study aims to develop a virtual environment for autonomous tower cranes technology development and validation. The authors defined automation functions and operation conditions of tower cranes with three performance criteria: operational design domain, object and event detection and response, and minimum functional conditions. Afterward, this study developed a virtual environment for learning and validation for autonomous functions such as recognition, decision making, and control using the Unity game engine. Validation was conducted by construction industry experts with a fidelity which is the representative matrix for virtual environment assessment. Through the virtual environment platform developed in this study, it will be possible to reduce the cost and time for data collection and technology development. Also, it is also expected to contribute to autonomous driving for not only tower cranes but also other construction equipment.