• Industry Promotion Research
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• v.8 no.1
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• pp.55-68
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• 2023

The purpose of this study is to investigate the factors that influence the intention to continuously use the RPA program used in the financial industry for those working in the financial industry. In particular, the purpose of this study is to understand the will to accept and the perception of acceptance conflict by considering the characteristics of individuals in the relationship between work and information technology. As a result of the study, it can be confirmed that the RPA system based on intelligent process automation including artificial intelligence should be further strengthened in the transformation of a digitalized enterprise rather than the RPA based on simple task automation that is currently most used. In general, the phenomenon of cognitive dissonance was prominent for the adoption of new technology, but the phenomenon of cognitive dissonance did not appear for the continued use of RPA in the financial industry. Able to know. In the future in the financial industry, it is thought that the change in the labor organization will be accelerated as the suitability of repetitive tasks and technologies is increased.

• Journal of the Korean Geographical Society
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• v.47 no.3
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• pp.426-439
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• 2012

The goal of this study is to propose a new method to capture the qualitative person spatial behavior. Beyond tracking or indexing the change of the location of a person, the changes in the relationships between a person and its environment are considered as the main source for the formal model of this study. Specifically, this paper focuses on the movement behavior of a person near the boundary of a region. To capture the behavior of person near the boundary of regions, a new formal approach for integrating an object's scope of influence is described. Such an object, a spatio-temporally extended point (STEP), is considered here by addressing its scope of influence as potential events or interactions area in conjunction with its location. The formalism presented is based on a topological data model and introduces a 12-intersection model to represent the topological relations between a region and the STEP in 2-dimensional space. From the perspective of STEP concept, a prototype analysis results are provided by using GPS tracking data in real world.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.175-178
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• 2005

스마트 홈과 같은 유비쿼터스 환경은 다양한 센서 및 제어 네트워크가 밀집되어 있는 복잡한 시스템이다. 본 논문에서는 이러한 환경하에서 복잡한 인터페이스의 사용에 대한 사용자의 인지 부담(cognitive load)를 줄이고 개인화된(personalized) 서비스를 자율적으로 제공하기 위한 사용자 행동 패턴 선호도 학습 기법을 제안한다. 이를 위해 지식 발견(Knowledge Discovery)을 위한 평생 학습(life-long learning)의 관점에서 퍼지 귀납(Fuzzy Inductive)학습 방법론을 제안하며, 이것은 수치 데이터로부터 입력 공간에 대한 효율적인 퍼지 분할(fuzzy partition)을 얻어내고 일관성있는(consisitent) 퍼지 상관 룰(fuzzy association rule)을 얻어내도록 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.60-63
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• 2007

최근, 핸드폰은 일상생활의 필수품이 되었다. 특히 카메라가 장착된 핸드폰은 개인홍보와 오락요소로의 대표적인 도구로 사용된다. 나아가 양안카메라가 적용된 핸드폰은 사용자에게 입체감을 전달할 것이며, 입체감은 보다 효과적인 개인홍보 및 오락성을 제공할 것이다. 핸드폰은 휴대가 용이하지만 제한된 표시소자의 크기 및 해상도로 인하여 입체시 구현 시 사용자에게 손실된 정보 및 낮은 임장감을 제공한다. 이에 본 연구는 기존의 입체시 구현에 대한 구속조건들을 분석하고 핵심 요인을 산출하여, 핸드폰 환경에서의 최적의 입체시 구현을 위한 새로운 구속조건의 범위를 정량화하였다. 대표적인 구속조건으로는 수평, 수직 시차량이 고려되었다. 본 연구의 결과는 핸드폰용 양안카메라의 제작공차 및 효과적인 시차영상 제작을 위한 기준을 제시한다. 연구에 사용된 제품으로는 QVGA해상도(320*240) 및 2.8' 크기의 표시소자인 PDA폰이며, 입체시에 대한 구속조건을 정량화하기 위하여 수직, 수평이동이 가능한 지그를 사용하여 실험의 정확성을 높였다. 피실험자는 10명이며 남자 7명, 여자 3명으로 구성되었다.

• Annual Conference of KIPS
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• 2017.04a
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• pp.877-880
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• 2017

가정이나 사무실 등과 같은 다양한 현실 세계에서 서비스 로봇이 자율적으로 동작하기 위해서는 복잡한 작업을 수행할 수 있어야만 한다. 다양한 센서 데이터가 있는 서비스 환경에서 고수준의 의미 정보를 이해하는 것은 지식 기반 로봇에게 필수적인 능력 중 하나이다. 본 논문에서는 서비스 로봇에게 다양한 환경에서 주어진 작업을 효과적으로 해결할 수 있도록 저레벨의 센서 데이터와 고레벨의 의미 정보를 통합하는 인간-로봇 상호작용 온톨로지를 소개한다. 지능형 로봇 지식에는 다양한 서비스의 확장성을 위해 사용자, 로봇, 인지, 환경, 행위 5가지 온톨로지로 분류한다. 지능형 로봇 지식은 일반 지식 뿐만 아니라 로봇의 수행 능력, 구성요소 등의 전문 지식까지 정의하고 서비스 에이전트 간 상호작용을 위한 인터페이스를 표준화함으로써 지능형 로봇에 적합한 지능을 제공한다. Turtlebot2을 이용한 실험을 통해 온톨로지 기반의 통합 로봇 지식의 높은 효율성을 확인 할 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.805-812
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• 2005

Smart home is one of the ubiquitous environment platforms with various complex sensor-and-control network. In this paper, a now learning methodology for learning user's behavior preference pattern is proposed in the sense of reductive user's cognitive load to access complex interfaces and providing personalized services. We propose a fuzzy inductive learning methodology based on life-long learning paradigm for knowledge discovery, which tries to construct efficient fuzzy partition for each input space and to extract fuzzy association rules from the numerical data pattern.

• Journal of The Korean Association For Science Education
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• v.36 no.2
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• pp.191-202
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• 2016

In this study, a science museum teaching-learning model was developed with emphasis on play. In order to do this, the models of factor-centered museum education and process-centered museum education were reviewed and characteristics of science museum education were considered. The model developed in this study is called 'Play-Learning Model in Science Museum', and 'play' is defined as activities to achieve the mission in accordance with methods and rules set by individuals or small groups including scaffolding and play is divided into competition, simulation, and chance. 'Play-Learning Model in Science Museum' emphasizes learning using the articles on exhibition, scaffolding and interaction in small groups, and play. The model consists of four steps: 'Preparation', 'Exploring the exhibits', 'Experience', and 'Summary of learning content'. In the 'Preparation' step, the students form related knowledge and are ready to play. The 'Exploring the exhibits' step is the core step of this model, and entails the students solving problems in the mission by interacting with members of the small group. When they cannot find resolution, they get help. In the 'Experience' step, hands-on activities related to the prior step are included. In the 'Summary of learning content' step, the students summarize what they learned while playing. As science museum education is implemented in a variety of forms, continuous research about the science museum learning model and development of various programs are needed.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.97-111
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• 2009

Context-aware computing, as a core of smart space development, has been widely regarded as useful in realizing individual service provision. However, most of context-aware services so fat are in its early stage to be dispatched for actual usage in the real world, caused mainly by user's privacy concerns. Moreover, since legacy context-aware services have focused on acquiring in an automatic manner the extra-personal context such as location, weather and objects near by, the services are very limited in terms of quality and variety if the service should identify intra-personal context such as attitudes and privacy concern, which are in fact very useful to select the relevant and timely services to a user. Hence, the purpose of this paper is to propose a novel methodology to infer the user's privacy concern as intra-personal context in an intelligent manner. The proposed methodology includes a variety of stimuli from outside the person and then performs model-based reasoning with social theory models from model base to predict the user's level of privacy concern semi-automatically. To show the feasibility of the proposed methodology, a survey has been performed to examine the performance of the proposed methodology.

• Culinary science and hospitality research
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• v.19 no.4
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• pp.56-76
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• 2013

With a distinction made between contract breach and contract violation, this study develops a structural model that investigates whether each dimension of contract breach influences experience of a contract violation in the hotel industry. At the same time, the impact of such a violation on hotel employees' work outcomes has been studied. One hundred and seventy eight employees, who are employed in five star deluxe hotels participated in the study and a structural equation modeling(SEM) is employed. The result indicated that good working relationship, and training and development, a so called relational oriented breach, make positively significant impact on contract violation. Whereas, benefits and salary categorized as transactional oriented breach does not. Also, the suggested employee outcomes including high turnover intent, low job satisfaction, and person-organization fit have been influenced by contract violation. As a result, hotel practitioners need to clarify the contract items prior to employment and during employment and to prepare to react to unmet promises.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.521-528
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• 2018

Data visualization has become a useful tool to effectively communicate information and is widely used not only by experts but also at a general level. However, it is dangerous that it is as efficient as it is to transmit false information. All data visualizations have hidden intent with powerful messages by editor. Building a system that grasps these intentions helps to understand the thoughts of groups and individuals. Most of the existing research focuses on effective data visualization methods and methods of expression. The more various visualization methods, the more likely the data will be distorted. In this paper, we present an analysis of deceptive data visualization in a goal-oriented environment. Based on the vulnerability of human cognitive processing, we classify the attack types and identify what tricks occur in the context of data visualization. This study suggests the first step in studying the case of aggressive visualization and opens the way for further research.