• Korea Real Estate Review
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• v.24 no.1
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• pp.91-104
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• 2014

This paper studied condo selection attributes that affected satisfaction, recommendation and revisitation, in particular, investigated gender and age differences. Research target is the group who revisited time-sharing condominium within one year. The paper seeks to understand factors that affect and contribute to customer satisfaction and intentions for reuse. This study model was analyzed by the basic statistical analysis, factor analysis, reliability analysis and multiple analysis, using SPSS 18.0 and AMOS 18.0. We found that 5 condo selection attributes that have significant affect on user satisfaction: facility, service, product, accessibility and expense. Furthermore it was evident that user satisfaction has a significant effect on condo recommendation and intentions of reuse. With regard to sex, for male users expense, accessibility and service had a significant effect on their satisfaction level, while for female users, product was most important. User satisfaction both have a significant effect on recommendation and intentions of reuse but for females this was more evident. Regarding the age, for 20~30 age band, service and product factor had a significant effect on user satisfaction in order, whereas, for the age band of over 40s, expense, product and facility factors were important. User satisfaction of both have a significant effect on recommendation and intentions of reuse. In the meantime user satisfaction of 20~30 age band had a bigger positive significant effect on recommendation and intentions of reuse than the age band over 40s.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.7
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• pp.707-722
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• 2019

The concept of neighborhood parks has been used as the principle of forming a community in our society going through modern and contemporary times. The concept of neighborhood parks equipped with physical facilities has been discussed constantly regarding the roles and meanings of them. This study focuses on pocket parks which have been playing roles in improving environment through regeneration and forming regional communities based on that as neighborhood facilities. This author carried out field investigation on total 72 Hanpyeong Park and Hanpyeom Parks formed in the capital area and examined the significance of planning them and also their utility and residents and users' attachment to them through a survey. In this process, this researcher has been able to draw following conclusions. First, according to the demographic characteristics of users, there is significant difference found by groups in terms of their place attachment to the parks. This implies that difference in the major types of residences supplied these days influences their intention to experience ecological space. Second, according to their educational background, there is significant difference found by groups regarding their place attachment to the parks. Third, according to user behavior, there are differences found in their place attachment to the parks and also detailed differences found by groups in terms of the frequency of use and duration of stay.

• Journal of Digital Forensics
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• v.12 no.3
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• pp.1-8
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• 2018

A random chat application is a type of social dating application that helps people find a lover or spouse by randomly connecting and providing services such as text, voice and video chat. Recently, there has been globally a rapid increase in its use due to the fact that it provides people to quick and convenient encounters at low cost. However, it is used as one of method to prostitute or to trade drugs and become a cause of violent crimes due to various criminal occurring after actual meeting between app users. For this reason, a random chat application is likely to provide proof of prostitution or drug trade and clues to arrest rape, kidnapping and murder suspects. Thus, it is necessary to analyse random chat applications from the viewpoint of digital forensics investigation, but there is no related research at all. Therefore, in this paper, we analyzed artifacts of 6 Korea random chat application's user behaviors; Ranchat, AngTalk, SsumgThing, DaTalk, EveryTalk and Sail. As a result, we found that it is remain on mobile device that time and contents of message transmission/reception, sender/receiver, friend profile and user account creation time when user is using the applications.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.53-67
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• 2021

According to statistics, the number of mobile payment users in China shows an increasing trend year by year. However, less than half of people over 60 years old use mobile payment. The purpose of this study is to explore the reasons for the low usage rate of mobile payment platforms among the elderly in China. Through literature research, questionnaires and interviews, the author found that the main obstacle for the elderly in China to use mobile payment platforms is acceptance barrier. Then, the user experience research method and technology acceptance model (TAM) were combined to construct a new research model and five hypotheses affecting acceptance behavior in the model were summarized. Finally, the Analysis of Covariance(ANCOVA) was used to test the hypotheses and found that satisfaction (SA), perceived usefulness (PU) and job relevance (JR) had significant coefficients of 0.001, 0.000 and 0.004 respectively, all of which were less than 0.05 and therefore had a significant effect on acceptability. The other two elements, perceived ease of use (PE) and self-efficacy (SE), did not have a significant effect on acceptability. Ultimately, a new user experience acceptability model was constructed to provide theoretical support for mobile payment platform developers and designers to develop products from the acceptability perspective, so as to develop more mobile payment methods suitable for elderly users and improve the acceptance of mobile payment by the elderly.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.23-33
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• 2021

Under the long-term influence of COVID-19, offline activities were interrupted and online communication became the main way. With the rapid development of Korean Wave and network information technology, there have been many entertainment communication platforms. Fans can communicate with stars and other fans and share information through entertainment and communication platforms. This can improve users' perception of the value of entertainment communication platforms, arouse emotional resonance and have a positive impact on users' platform recommendation intention. In this study, the influence of user interaction, identity and recommendation intention of entertainment communication platforms was investigated by questionnaire. The results are as follows: First, the interaction between fans and content has a positive effect on psychological and behavioral identity. Second, the interaction between fans does not affect their psychological and behavioral identity. Third, the interaction between fans and stars has a positive impact on psychological identity and behavior identity. Fourth, psychological identity and behavioral identity have a positive impact on community members' willingness to recommend. Behavioral identity plays a partial mediating role between psychological identity and recommendation intention. Based on the above analysis results, the present situation, limitations and future research directions of this study are put forward.

• Design Convergence Study
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• v.16 no.4
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• pp.115-126
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• 2017

The intelligent product is a product in which interactive technologies are applied to an existing common product, called a mother product. This study focuses on interaction design of a hedonic intelligent product and investigates an efficient method of input control of hedonic intelligent products. The hedonic intelligent product is a product in which the hedonic attributes such as play and pleasure are added to the mother product. Utilitarian intelligent products enhance practical functions of mother products. The utilitarian intelligent product finds user behavior in the mother product to improve functional elements for a user experience design. On the other hand, hedonic intelligent products find various emotional values that impart hedonistic attributes and apply them to design. The input method studied through the case study is classified into the imitation input method and the transformation input method derived from the mother product. Based on this, two independent variables of intelligent pinwheels were designed, and its usability evaluation was conducted under the same output condition to investigate a more effective input method. As a result, the transformation input method was rated higher in originality than the imitation input method. This result implies that users had new experiences from the transformation input method, which leads to a higher intention of paying for new experiences.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.155-166
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• 2023

This study was conducted with 50 elderly people each (5) participating in the cognitive rehabilitation treatment program at the Dementia Care Center in D City to derive the development direction and contents of a multidimensional therapeutic recreation program and a revitalization plan through analysis of the current status and actual conditions of the cognitive rehabilitation program at the Dementia Care Center. aperture) was selected, and 9 people were selected as the subject of expert group opinion collection. The collected data was SPSS ver. Using the 18.0 statistical program, descriptive statistics and the importance and priority of each component were analyzed by hierarchical structure analysis. First, unlike the needs of users, the cognitive rehabilitation support programs currently being provided are not sufficient and require considerable experience. It was found to be low, and the areas for improvement were the expansion of care and protection facilities and the development of various programs to meet the needs of users. Second, the importance and priority of each component of therapeutic recreation were categorized into 6 major categories: exercise therapy , middle category (16 items) behavior-centered approach to exercise therapy, small category (47 items) strength and brain gymnastics, and silver health gymnastics were the highest. This result shows that a multidimensional program plan that considers the priorities of each area must be made when developing a therapeutic recreation program.

• Health Policy and Management
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• v.34 no.1
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• pp.87-93
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• 2024

Background: In recent years, studies have shown conflicting results regarding the benefits of dietary supplements in reducing healthcare expenditures. This study aimed to address this inconsistency by examining the association between supplement consumption and health expenditures using nationally representative data from the Korea Health Panel Survey (2019-2020). Methods: A 1:1 matched case-control dataset was established using propensity score matching technique based on supplement consumption. Then, total annual healthcare expenditures were compared between the two groups. In addition, a multivariate regression analysis (Proc Surveyreg) was performed to determine the association between the supplement consumption and medical costs. Results: The supplement user group spent about 1.72 million Korean won, while the non-user group spent about 1.43 million Korean won on medical services (p=0.0186). The results of multivariate regression showed that the costs were approximately 26.15% higher in the user group than in the non-user group (p=0.0004). Conclusion: Contrary to the previous studies that have shown the benefits of supplement use in reducing healthcare costs, this study showed that those who consistently consumed supplements spent more on medical services. This can be interpreted in the same context as previous studies suggesting that dietary supplement intake is a healthy behavior for managing one's health. However, we caution against drawing firm conclusions due to data limitations. Further analysis using patient-level epidemiologic data is needed.

• Information Systems Review
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• v.18 no.4
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• pp.69-88
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• 2016

Nowadays, organizations have adopted Smart Work to efficiently manage tasks, such as electronic document approval, customer management, and site inspection, without spatial-temporal constraints. Smartphones, which are commonly used in Smart Work, enable individuals to perform their jobs anytime and anywhere, thus blurring the boundary between work and non-work. To solve the problem of blurred work/non-work boundaries, a construct of self-control and affective factors needs to be considered because business style is changed from command to autonomy in the Smart Work context. Moreover, employees can convey their emotions easily over smartphones. Recent marketing studies have analyzed consumers' behavior based on the combination of cognitive, affective, and behavioral components, and researchers of information systems are also interested in these factors. However, previous research has some limitations, such as not classifying factors into cognitive, affective, and behavioral as well as not covering all three factors. Therefore, we explore the roles of cognitive, affective, and behavioral components in emotional exhaustion and education performance, and conduct a survey on undergraduate and graduate students, who are the major users of smartphones. Findings show that when individuals improve their cognitive capability (self-control) and usage experience (smartphone communication and internet usage), they can decrease emotional exhaustion and increase education performance. In the role of affective capability, increasing education performance is partially accepted. These results imply that organizations should not focus on controlling the usage of smartphones but on promoting appropriate smartphone usage.

• The Journal of Bigdata
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• v.8 no.2
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• pp.1-13
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• 2023

Current analysis of air passengers mainly relies on statistical methods, but there are limitations in analyzing detailed aspects such as travel routes, number of regional passengers and airport access times. However, with the advancement of big data technology and revised three data acts, big data-based transportation analysis has become more active. Mobile communication data, which can precisely track the location of mobile phone terminals, can serve as valuable analytical data for transportation analysis. In this paper, we propose a air passenger Origin/Destination (O/D) extraction algorithm based on mobile communication data that overcomes the limitations of existing air transportation user analysis methods. The algorithm involves setting airport signal detection zones at each airport and extracting air passenger based on their base station connection history within these zones. By analyzing the base station connection data along the passenger's origin-destination paths, we estimate the entire travel route. For this paper, we extracted O/D information for both domestic and international air passengers at all domestic airports from January 2019 to December 2020. To compensate for errors caused by mobile communication service provider market shares, we applied a adjustment to correct the travel volume at a nationwide citizen level. Furthermore correlation analysis was performed on O/D data and aviation statistics data for air traffic users based on mobile communication data to verify the extracted data. Through this, there is a difference in the total amount (4.1 for domestic and 4.6 for international), but the correlation is high at 0.99, which is judged to be useful. The proposed algorithm in this paper enables a comprehensive and detailed analysis of air transportation users' travel behavior, regional/age group ratios, and can be utilized in various fields such as formulating airport-related policies and conducting regional market analysis.