• Korea Real Estate Review
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• v.28 no.2
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• pp.35-47
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• 2018

Securing a stable residential location is one of the most important decisions that must be made in the modern society. On this matter, both individuals and their families must decide on where to live after taking into consideration various analyses. Contributing attributes in the selection of our dwelling place are crucial. In this research, influencing variables were derived from the intention to move by focusing on the characteristics of the household and traffic conditions, while implications were suggested through a comparison of urban characteristics. Suwon was selected as the case study. The result of the analysis showed the city of Suwon has longer communal satisfaction, relies on self-sufficiency, and is conscious of parking regulation. Preferences for rental housing, having infants and elementary school kids, high savings, and commuter convenience in Suwon and Gyeonggi-do ranked higher in the hierarchy of the intention to move. Compared to Gyeonggi-do, Suwon was influenced by commuters in the city and parking regulation-related variables. Meanwhile, Gyeonggi-do was affected by the lack of public transportation facilities and traffic congestion. Suwon, on the other hand, has a high share of passenger car ownership, so it seems that the psychological stability of parking space is significant. This research will contribute in the policy-making of Suwon, especially on the subject of migration prediction of citizens and real estate location selection, through analyses of variables related to the intention to move to a new residence.

• The Journal of the Korea Contents Association
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• v.18 no.7
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• pp.536-550
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• 2018

This paper examine how acceptance of AI robots can be achieved according to occupational groups when the discourse on human labor and occupation changes due to the new industrial revolution is spreading steadily. Previous research on the acceptance of new technologies and products has predicted use behavior through subjective beliefs and values that do not change well over the short term. Therefore, this study compares the beliefs, values, and use intention of AI robots according to occupation. As a result, the subjective belief factor for AI robots was classified into belief in rationality(reason) and belief in benevolence(emotion). The value factors were divided into acceptance value(role performance, communication, social comparison) and avoidance value(risk, complexity). There was a significant difference in the effect of these on the use intention of AI robot by occupation and employment types. This result suggests that there are gaps in the occupation group at the rate of technology acceptance, as opposed to the existing prediction that AI robots will be rapidly expanded by professionals.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.780-783
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• 2007

A Many studies have been made on the prediction of human voluntary movement intention in real-time based on invasive or non-invasive methods to help severely motor-disabled persons by offering some abilities of motor controls and communications. In the present study, we have developed an internet game driven by and/or linked to a brain-computer interface (BCI) system. Activities of two single neuronal units recorded from either hippocampus or prefrontal cortex of SD rats were used in real time to control two-dimensional movements of a robot, or a game object.

• Corrosion Science and Technology
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• v.15 no.1
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• pp.6-12
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• 2016

Flow-Accelerated Corrosion (FAC) is a well-known degradation mechanism that attacks the secondary piping in nuclear power plants. Since the Surry Unit 2 event in 1986, most nuclear power plants have implemented management programs to deal with damages in carbon and low-alloy steel piping. Despite the utmost efforts, damage induced by FAC still occurs in power plants around the world. In order to predict FAC wear, some computer programs were developed such as CHECWORKS, CICERO, and COMSY. Various data need to be input to these programs; the chemical composition of secondary piping, flow operating conditions and piping geometries. CHECWORKS, developed by the Electric Power Research Institute (EPRI), uses a geometry code to calculate geometry effects. Such a relatively simple geometry code is limited in acquiring the accuracy of FAC prediction. Recently, EPRI revisited the geometry code with the intention of updating it. In this study, numerical simulations were performed for two adjacent $90^{\circ}$ elbows and the results were analysed in terms of the proximity effect between the two adjacent elbows.

• Journal of Information Technology Applications and Management
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• v.24 no.3
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• pp.51-61
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• 2017

The objective of the study is to examine the acceptance and usability of Augmented Reality (AR) visuals developed for industry analysis of Thai Banks and whether these visuals can outperform the table of numbers in representing financial accounting data. Convenient samples were used and the data were collected with self-assessed questionnaires from 109 users with minimum prior experiences with financial analyses. The results from descriptive statistics indicates that despite having over 80% of respondents with little prior experience in analyzing financial performance of banking industry, the majority of them were able to correctly make prediction (96.4%), identify trend (82.6%) and compare banks' performance (70.6%). Their attitudes and perception towards Bank-AR visuals were above average. Although the overall usability score is average (53%), the respondents rated the Bank-AR visuals to be highly useful and had high intention to use them in the future.

• Journal of Korea Multimedia Society
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• v.22 no.9
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• pp.1132-1139
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• 2019

Big data is prominently used as a prediction method in achieving a goal, because it can analyze the regularities to predict future results from a vast amount of past data. Furthermore, big data has huge influence in very diverse academic fields. On such awareness, this study analyzed the regular effect of e-Commerce usefulness from the effects which expectations on big-data service affect the usage purpose of e-Commerce usefulness. This study categorized e-Commerce usefulness into quality recognition, service, and ease, and studied how each category works between the relationship of big-data service expectation and the use intention.

• Journal of Preventive Medicine and Public Health
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• v.51 no.3
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• pp.154-162
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• 2018

Objectives: Early retirement occurs when one's job satisfaction suffers due to employment mismatch resulting from factors such as inadequate compensation. Medical doctors report high levels of job stress and burnout relative to other professionals. These levels are highest among emergency physicians (EPs), and despite general improvements in their working conditions, early retirement continues to become more common in this population. The purpose of this study was to identify the factors influencing EPs intention to retire early and to develop a probability equation for its prediction. Methods: A secondary analysis of data from the 2015 Korean Society of Emergency Physicians Survey was performed. The variables potentially influencing early retirement were organized into personal characteristics, extrinsic factors, and intrinsic factors. Logistic regression analysis was performed to identify risk factors and to develop a probability equation; these findings were then arranged in a nomogram. Results: Of the 377 survey respondents included in the analysis, 48.0% intended to retire early. Risk factors for early retirement included level of satisfaction with the specialty and its outlook, slanderous reviews, emergency room safety, health status, workload intensity, age, and hospital type. Intrinsic factors (i.e., slanderous reviews and satisfaction with the specialty and its outlook) had a stronger influence on early retirement than did extrinsic factors. Conclusions: To promote career longevity among EPs, it is vital to improve emergency room safety and workload intensity, to enhance medical professionalism through a stronger vision of emergency medicine, and to strengthen the patient-doctor relationship.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.332-343
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• 2017

This study examined the impact of interaction between dispositional empathic concern (DEC) and message framing on effects of the international aid campaign. DEC refers to a trait with which people tend to sympathize with and be concerned about others in need. Message framing is differentiated by positive or negative type. The results supported the prediction that the interaction between DEC and framing would have an effect on responses to messages advocating international relief activities. The overall findings show that the interaction was mainly the result of positive framing eliciting more favorable responses (behavioral intention and perceived relationship closeness) from higher DEC individuals than lower ones. The interaction effect on behavioral interaction was mediated by perceived relationship closeness.

• Journal of the Society of Disaster Information
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• v.10 no.3
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• pp.374-387
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• 2014

Since the sexual violence crime has a high probability of repeated crime, the electronic monitoring system has been introduced as a measure to it. And this system allows the police to know the location of former criminal around the clock through the electronic device, the former criminal has the psychological/mental oppression which can restrain the intention of crime to a degree. However, there is a limit in blocking criminals with strong will from repeated crime. The next-generation intelligent electronic anklet currently under study collects and analyzes the change bio-data in real time through the location information of electronic monitoring target and attached sensor. This study is aimed to predict the symptom of crime occurrence in advance based on this and block the crime intention in advance or stop the ongoing crime before it is expanded.

• Information Systems Review
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• v.20 no.1
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• pp.99-114
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• 2018

Technical measures for computer security are essential, but they are not a sufficient condition for security. Therefore, a personal approach to user's security behavior should be developed. Personality, which is a human aspect, is a behavioral characteristic that characterizes each individual and facilitates prediction of how an individual will behave in certain situations. Protection motivation theory has been used extensively in the security research on human behavior. The present study discusses how protection motivation was formed from personality traits. Thus, organizations can refer the result of this study for their HRD and HRM concerns.