• Asia pacific journal of information systems
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• v.32 no.1
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• pp.125-150
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• 2022

Technology companies launched their intelligent personal assistants (IPAs). IPAs not only provide individuals with a convenient way to interact with technology but also offer them the opportunity to interact with AI in a useful and meaningful form. Therefore, the global IPAs have experienced tremendous growth over the past decade. But maintaining continuous usage intention is still a massive challenge for developers and marketers and previous technology adoption models are not enough to explain continuous usage intention of IPAs. Thus, we adopted the bi-dimensional perspectives of utilitarian and hedonic value in this research model, and investigated how three characteristics of IPAs - anthropomorphism, autonomy, and intelligence - affect utilitarian value and hedonic value, which in turn continuous usage intentions. 227 data were collected from IPA users. The results showed that IPAs' continuous usage intention is significantly determined by both utilitarian and hedonic value, with the hedonic value being more prominent. In addition, the results showed that anthropomorphism and intelligence are the most important antecedents of utilitarian and hedonistic value. The results also illustrated that autonomy is a crucial predictor of utilitarian value rather than hedonistic value. Our work contributes to current research by widening the theoretical understanding of the effect of IPA characteristics on continuous usage intention through bi-dimensional values. Our paper also provides IPAs' developer and marketer guidelines for enhancing continuous usage intention.

• Korean Medical Education Review
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• v.22 no.2
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• pp.122-130
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• 2020

Concern for patient safety underlies the need for interprofessional education (IPE). One way to measure the effectiveness of IPE is by measuring attitude change toward other healthcare professionals; however, there are currently no valid Korean tools to measure such a change in attitudes. Therefore, this study aims to develop and test a Korean version of the Interprofessional Attitudes Scale (IPAS). The original IPAS was translated into Korean according to the World Health Organization's guidelines after obtaining permission from the article's corresponding author. A total of 414 questionnaires were collected from third- and fourth-year medical and nursing students at four Korean institutions in December 2018. To analyze the validity of the Korean IPAS, exploratory and confirmatory factor analyses were conducted. Cronbach's α was used to evaluate reliability. Results from the exploratory factor analysis identified four functions: teamwork, community-centeredness, patient-centeredness, and respect for diversity. Significant cross-correlations were found among the four functions (r=0.438-0.631, p<0.001) along with overall reliability (Cronbach's α=0.929) and reliability of each subfactor (Cronbach's α=0.804-0.897). This study verified the validity and reliability of the Korean version of the IPAS, so this scale can be used in the future to measure the effectiveness of IPE in Korea.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.325-326
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• 2009

다각촬영카메라를 제어하고 GPS/INS와 동기화하기 위해서 다각촬영 카메라 제어 장비(MLCC)를 개발하였다. 이는 5대의 카메라에 촬영신호를 보내고 촬영시각을 GPS/INS와 동기화 하여 정확한 촬영시각을 기록하기 위한 장비이다. 개발 결과를 검증하기 위하여 Applanix사의 POS 시스템과 Leica-Geosystem의 IPAS20을 병렬로 연결하여 그 결과를 비교하였다. 비교 결과 다각촬영 카메라를 제어하기에 충분한 정밀도를 보여 주었으며, 차기년도 경량화를 진행하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.329-331
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• 2014

The analysis of the similarities and redundancies among R&D projects is important for the efficient investment of government budgets. When government R&D projects are planned, the redundancies of research tasks are examined by institutions specializing in research management, relevant offices and departments, and the government to prevent redundant funding. However, as existing similarity analyses depend on methods wherein new task proposals and existing R&D project proposals are compared and looked up based on keywords. This results in vulnerability wherein similarity cannot be accurately measured in the event of partial modifications of the task name or technical substitutions. This study aims to use patent information as characteristics by which R&D project documents can be identified. The patent data used is based on materials officially published by the government's R&D patent trend survey project (http://ipas.rndip.re.kr). The study aims to propose a method by which patent information can be used to analyze the similarity and redundancy among R&D projects when new projects are entered. For this purpose, a similarity measurement model based on set theory and probability theory is presented. The presented measurement model is implemented into an actual system to identify redundant documents, and calculate and show their similarity.

• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.748-756
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• 2007

The purposes of this study were to analyze importance and performance for coffee quality attributes based on customers according to their consumption types; and provided ideas and marketing strategies to increase sales through IPAs (Importance-Performance Analysis). University students in Incheon were conducted a survey from March 13, 2007 to March 31, 2007. As for a quality attribute with the highest importance, the survey showed 'price' was important for ${\ulcorner}$vending machine coffee${\lrcorner}$, and 'taste' was important for ${\ulcorner}$commercial coffee${\lrcorner}$, and ${\ulcorner}$coffee house coffee${\lrcorner}$. And 'thirst relief' was found to have the lowest importance for three types of coffee. As for a quality attributes with the highest performance, the survey showed 'taste' was important for ${\ulcorner}$coffee house coffee${\lrcorner}$ 'price' was important for ${\ulcorner}$vending machine coffee${\lrcorner}$; and 'period of circulation' was important for ${\ulcorner}$commercial coffee${\lrcorner}$. IPA results for coffee quality attributes also showed quality attributes that should be improved quickly for each type of coffee: 'hygiene', 'safety', 'period of circulation', and 'package' were for ${\ulcorner}$vending machine coffee${\lrcorner}$; 'price' and 'freshness' were for ${\ulcorner}$commercial coffee${\lrcorner}$; and 'price' and 'period of circulation' were for ${\ulcorner}$coffee house coffee${\lrcorner}$.

• Korean Journal of Construction Engineering and Management
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• v.23 no.1
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• pp.3-15
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• 2022

Daycare center is an important space for children's mental, physical and social development. Each space of daycare center should be designed and constructed considering interests of end-users such as children and teachers. However, insufficient related guidelines and standardized design and construction of daycare center to moderate potential risks of each space. This arises from the difference in perception of each space between end-users (head and sub teachers) and construction experts (designers and contractors). Therefore, research framework was developed for analyzing the factors of perception differences of each space in daycare center between these groups applied traditional and modified Importance-Performance Analysis (IPA). By comparing risk perception between end-users and experts in two methods, it can be support as construction guide for daycare center in the future and will help minimize conflicts in construction among stakeholders. Moreover, it was found that traditional IPA is comfortable to catch prior project perception of participants, and revised IPA is considered to judge outputs by identifying participant's importance based on the satisfaction of the project performance. Therefore, if IPAs are applied according to the characteristics of the circumstances, it is possible to analyze the perception difference between end-users and construction experts based on the context before and after the construction of the daycare center.

• Information Systems Review
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• v.19 no.4
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• pp.135-156
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• 2017

An intelligent personal assistant (IPA) is a software agent that assists people to perform basic tasks or services for an individual by commonly providing information via natural language. In spite of the versatile capabilities of the IPA to answer a user's simple information-based queries, such as the weather and driving directions, the actual usage rates for IPA services are limited to date. In this research, to evaluate the factors affecting the intention to use IPA, we develop an empirical model based on technology acceptance model, innovation diffusion theory, and IS success model. Afterward, we collect 203 questionnaires from actual users of IPAs. Finally, the structural equation model validates the causal relationship between the constructs of the model. Consequently, the innovation characteristics of IPA drawn from innovation diffusion theory, namely, relative advantage, compatibility, observability, all exerted a positive influence on perceived usefulness. Furthermore, information quality, a quality characteristic of IPA obtained from DeLone and McLean's IS success model, presented a positive effect on perceived usefulness and perceived ease of use. Finally, the perceived intelligence of IPA displayed a positive influence on perceived usefulness and ease of use. This characteristic was also a major factor that can increase the intention to use the IPA. Given these research findings, this study is significant for identifying factors that may influence the intention to use the IPA by providing strategic guidelines to relevant business operators and establishing an integrated model.