• 인지과학
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• 제30권3호
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• pp.157-174
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• 2019

인공 지능으로 인한 정체성 위협은 지능 과제에 대한 동기 및 수행을 저해할 수 있다. 본 연구는 실험기법을 활용하여 개인의 지능 과제 수행 저하 현상이 인공 지능으로 인한 위협에 노출됨으로써 나타나는지 조사하였다. 또한 본 연구는 집단 정체성 확인(group identity affirmation)이 과제 수행 저하 현상을 완화해줄 수 있는지 확인하였다. 구체적으로, 인공지능 위협이 높은 조건에서는 낮은 조건에서보다 지적 과제 수행이 낮을 것으로 예측하였다. 또한 이와 같은 수행 저하 효과는 집단 확인 조건에서 나타나지 않을 것으로 예측하였다. 대학생 참가자 210명을 대상으로 실험 연구를 시행하여 예상과 일관된 결과를 발견하였다. 인공지능으로 인한 정체성 위협은 참가자의 지적 과제 수행을 떨어뜨렸으며, 이와 같은 수행 저하 현상은 집단가치 비 확인 조건에서 발견됐지만 집단 가치 확인 조건에서는 발견되지 않았다. 논의에서는 이론적 실용적 함의를 다루었다.

• 한국IT서비스학회지
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• 제7권4호
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• pp.1-19
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• 2008

This study began with the proposition that, compared to the impulse buying in the conventional offline market, consumers will exhibit a different process of decision-making for impulse buying on the Internet as it has become easier to acquire information and purchase goods which are offered online like digital contents goods. To verify this roposition, this study attempted to find out the external and internal factors as that affect the impulse buying behavior by incorporating Theory of Planned Behavior In addition, this study seeks to confirm the role of alternative's attractiveness in terms of mediating between internal and internal factors affecting impulse buying. The major purpose of this study was to understand Impulse Buying Intention(IBI) for digital contents on the internet. The results of the this study showed that the behavior of impulse buying can be explained with the information searching in which the external factors for the marketing of digital contents affect the internal stimulation factors. It was also found that the impulse buying of digital contents on the Internet starts with non-planned impulse at the problem recognition stage, but planned decision-making will take over when it is proven to be effective with information searching.

• 도시과학
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• 제7권1호
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• pp.29-38
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• 2018

The cadastral rehabilitation project, which has been implemented since 2012, is a project to re-examine the national land that is not in conformity with the cadastral map, There is a lot of trouble in securing financial resources for business execution. This study examines the utility of UAS(Unmanned Aerial System) image - based cadastral demarcation as an alternative to budget reduction in the current state of cadastral rehabilitation, reasonable boundary adjustment, UAV(Unmanned Aerial Vehicles) is used to create 3D models and orthoimages of business districts, and to check accuracy by superimposing and comparing with digital maps of NGII(National Geographic Information Institute). As a result of the study, the accuracy of the 3D model and the orthoimage through the SfM(Structure-from-Motion) - based image interpretation of the digital map of the NGII were derived. In particular, we confirmed the similarity of UAS-based orthoimage with the cadastral boundaries affirmation, It is anticipated that the cost saving effect of current survey and boundary survey can be expected. In addition, it is easy to prepare a report to reduce civil complaints, which is a problematic element of the adjustment.