• Journal of Digital Convergence
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• v.6 no.4
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• pp.63-71
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• 2008

This study researches the effectiveness of interactive TV advertising focusing on the factors of audience involvement and interaction. The study began with the effective measurement of interactive television advertisements. Interactive television advertisements have different concepts than existing television advertisements. This study mainly focuses on the characteristics of audience interaction and experiments based on the data of 78 persons for measurement. In the experiments, the characteristics were categorized according to search time, specifically the number of searched pages about interactive television advertisement. Hypothesis 1 reveals that the interaction of the audience increases when the advertising attitude, brand attitude, and purchase intentions also increase. Hypothesis 2 finds that the involvement of the audience increases when the advertising attitude, brand attitude, and purchase intentions also increase. By studying these consumer characteristics and behavior, a new method of effective measurement for interactive television advertisement is uncovered. The new method includes not only existing measurement elements of television advertisement which include attitude about advertising and brand, and customer purpose, but also the features of interactive television advertisement like customer search time. According to this research on interactive television advertisement, the interaction with and involvement of the audience are highly influential variables.

• Korean Journal of Childcare and Education
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• v.12 no.3
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• pp.137-157
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• 2016

This study examines the effects of teacher's emotional intelligence on teacher-child interaction through the sequential mediation effects of efficacy belief about play and professional recognition. Participants were 268 teachers working at kindergartens in Gyeonggi area. Data were analyzed by descriptive statistic, Pearson's product-moment correlation, and the structural equation model using the SPSS 21.0 and Mplus 6.12 program. The main findings of this study are as follows: First, in regards to the relationship between emotional intelligence and teacher-child interaction, a single mediation effect of efficacy belief about play is significant. But there is no significant mediation effect of the professional recognition. Second, in regards to the pathway from emotional intelligence to teacher-child interaction, the professional recognition precedent mediation model is statistically significant, but efficacy belief about the play precedent mediation model is not significant. Based on the results, a concluding discussion was made regarding methods toward enhancing interaction between teacher and child.

• Structural Engineering and Mechanics
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• v.30 no.2
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• pp.165-176
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• 2008

In this paper, a new iterative method for solving vehicle-bridge interaction problems is proposed. Iterative methods have advantages over the non-iterative methods in that it is not necessary to update the system matrix for a given wheel location, and the method can be applied for a new type of car or bridge with few or no modifications. In the proposed method, the necessity of system matrices update is eliminated using the equivalent interaction force acting on the bridge, which is obtained iteratively. Ballast stiffness is included in the interaction forces and the geometric compatibility at the contact points are used as convergence criteria. The bridge is considered as an elastic Bernoulli-Euler beam with surface irregularity and ballast stiffness. The moving vehicle is modeled as a multi-axle mass-spring-damper system having many degrees of freedom depending on the number of axles. The pitching effect, which is the interaction effect between the rear and front wheels when a vehicle begins to enter or leave the bridge, is also considered in the formulation including extended ground boundaries having surface irregularity and ballast stiffness. The applicability of the proposed method is illustrated in the numerical studies.

• The Journal of Information Systems
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• v.27 no.1
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• pp.21-42
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• 2018

Purpose This study investigates that the routes of psychological ownership in Fanpage and the effect of psycholoigical ownership on customer loyalty based on psychological ownership theory. Fans are customers who clicked 'Like' on the fan page. These fans have a lot of friends on Facebook, so the word-of-mouth is more effective than other online communities. Therefore, it is necessary for fans to have psychological ownership, actively responding to the fan pages, and recommending them to friends. However, previous social network service studies have overlooked the importance of psychological ownership. In this study, we examine what factors can increase psychological ownership and show that customer loyalty can be enhanced through psychological ownership. Design/methodology/approach This study was designed to investigate the structural relationship between Fanpage Familiarity, Interaction(Customer-Brand interaction and Customer-customer interaction), Psychological Ownerhisp, and Customer Loyalty. Structural equation modeling with SmartPLS2.0 was used to analyze the relationships in the research model. Findings The results showed that Fanpage Familiarity and Customer-customer interaction is positively related with Psychological Ownership. However, Customer-Brand interaction did not influence Psychological Ownership. Psychological Ownership has a positive impact on Intention to Continue Using Fanpage and Recommend.

• Geomechanics and Engineering
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• v.5 no.4
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• pp.283-297
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• 2013

The aim of this paper is to investigate how the soil-structure interaction affects sloshing response of the elevated tanks. For this purpose, the elevated tanks with two different types of supporting systems which are built on six different soil profiles are analyzed for both embedded and surface foundation cases. Thus, considering these six different profiles described in well-known earthquake codes as supporting medium, a series of transient analysis have been performed to assess the effect of both fluid sloshing and soil-structure interaction (SSI). Fluid-Elevated Tank-Soil/Foundation systems are modeled with the finite element (FE) technique. In these models fluid-structure interaction is taken into account by implementing Lagrangian fluid FE approximation into the general purpose structural analysis computer code ANSYS. A 3-D FE model with viscous boundary is used in the analyses of elevated tanks-soil/foundation interaction. Formed models are analyzed for embedment and no embedment cases. Finally results from analyses showed that the soil-structure interaction and the structural properties of supporting system for the elevated tanks affected the sloshing response of the fluid inside the vessel.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.154-162
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• 2015

This paper focuses on how cognitive and emotional structures affect humans during long-term interaction. We design an interaction with a turn-based game, the Chopstick Game, in which two agents play with numbers using their fingers. While a human and a robot agent alternate turn, the human user applies herself to play the game and to learn new winning skills from the robot agent. Conventional valence and arousal space is applied to design emotional interaction. For the robotic system, we implement finger gesture recognition and emotional behaviors that are designed for three-dimensional virtual robot. In the experimental tests, the properness of the proposed schemes is verified and the effect of the emotional interaction is discussed.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.119-130
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• 2021

This study aimed at Evaluate Students' Interaction and Happiness in Distance Learning Among Students with Learning-Difficulties, by identifying the level of students' interaction in distance education and differences between them, as well as its impact on their happiness to learn. To achieve the aim of the study, two scales were designed for this purpose and were applied to a sample consisting of (310) individuals. The results showed that the level of students' interaction through the e-learning platform was at a high level. The results also showed that there was no statistically significant difference between the mean scores of males and females in the scale of students' interaction through the e-learning platform. There was no statistically significant difference between them in their happiness for distance learning via the online platform. There were also no statistically significant differences related to the grade variable in the level of interaction through the electronic platform and in the happiness to learn, while there was a positive statistically significant effect of interaction through the electronic platform on students' happiness to learn.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.405-419
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• 2021

This study aims to explore the moderated moderation effect of learning flow and professor-student interaction in the relationship between learning agility and job preparation behavior among engineering college students. Based on the data collected from 206 second-year students at P-college, the conditional effects of the research model (direct effect and moderated moderation effect) was analyzed using Process v3.5.3 for SPSS. As a result, first, the learning agility of engineering college students had a statistically significant and positive effect on job preparation behavior. Second, learning flow had a significantly negative and moderating effect in the relationship between learning agility and job preparation behavior. Third, the moderating effect of learning flow was moderated by the frequency of interaction between professor-student in the relationship between learning agility and job preparation behavior. And its effects were statistically significant and positive. Based on these results, academic and practical discussions and implications were presented.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.4
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• pp.255-267
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• 2020

Under SLD conditions, due to the large size of droplets, physical phenomena such as wall-droplet interaction and deformation have a significant effect on the icing process. Accordingly, many studies have been conducted in order to computationally simulate SLD effects. As one of the efforts, post-processing method have been proposed to describe wall-droplet interaction effect, which modified collection efficiency using Wright model. However, since the model doesn't properly consider the wall condition, it still overestimated collection efficiency and impingement limit. To solve this problem, impingement areas were divided into 3 different regions, and the post-processing method was introduced with the new wall-droplet interaction model developed based on Bai and Gosman rebound model. In order to consider the effect of deformation, the most suitable model was selected by comparing the deformation models used in the various icing codes. As a result, the modified post-processing method showed improved accuracy in predicting the impingement limits and collection efficiency by further estimating mass flux loss due to rebound, and it was observed that the result was the closest to the experimental data when the deformation effect was included by using Wiegand model.

• Structural Engineering and Mechanics
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• v.7 no.2
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• pp.217-224
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• 1999

A semi-stochastic process model of reliability was established for hyperbolic cooling towers subjected to combined loadings of wind force, self-weight, temperature loading. Effect of the soil-structure interaction on reliability was evaluated. By involving the gust factor, an equivalent static scheme was employed to convert the dynamic model to static model. The TR combination rule was used to consider relations between load responses. An analysis example was made on the 90M cooling tower of Maoming, Guangdong of China. Numerical results show that the design not including interaction turns to be conservative.