• KIPS Transactions on Software and Data Engineering
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• v.3 no.4
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• pp.149-154
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• 2014

A user should pick up relevant answers by himself from various search results when using user participation question answering community like Knowledge-iN. If refined answers are automatically provided, usability of question answering community must be improved. This paper divides questions in Q&A documents into 4 types(word, list, graph and text), then proposes summarizing methods for each question type using document statistics. Summarized answers for word, list and text type are obtained by question clustering and calculating scores for words using frequency, proximity and confidence of answers. Answers for graph type is shown by extracting user opinion from answers.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.466-475
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• 2003

To build an efficient Question-Answering (QA) system, a question type classifier is needed. It can classify user's queries into predefined categories regardless of the surface form of a question. In this paper, we propose a question type classifier using a Support Vector Machine (SVM). The question type classifier first extracts features like lexical forms, part of speech and semantic markers from a user's question. The system uses $X^2$ statistic to select important features. Selected features are represented as a vector. Finally, a SVM categorizes questions into predefined categories according to the extracted features. In the experiment, the proposed system accomplished 86.4% accuracy The system precisely classifies question type without using any rules like lexico-syntactic patterns. Therefore, the system is robust and easily portable to other domains.

• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.103-130
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• 2006

This paper is to categorize the innovation patterns of advanced materials technologies Many existing taxonomies of innovation pattern consider the whole of industries and the system sector rather than a specific sector. On the basis of the interactions between materials sector and user sectors, this paper suggests four innovation patterns, push-type material innovation, needs-type materials innovation, push-type process innovation and needs-type process innovation. This categorization of innovation pattern not only provides a new approach to the analysis of materials technology innovation processes but also has many useful implications for policymaking. Suggestions for policymakers of the materials technology are presented.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.185-189
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• 2003

고성능의 질의 응답 시스템을 구현하기 위해서는 질의 유형 분류기의 성능이 중요하다. 본 논문에서는 복잡한 분류규칙이나 대용량의 사전 정보를 이용하지 않고 질의문에서 의문사에 해당하는 어휘들을 이용하여 질의 유형을 결정하고, 의문사 주변에 출현하는 명사들의 의미 정보를 이용하여 세부적인 정답유형을 결정할 수 있는 질의 유형분류기를 제안한다. 의문사에 해당하는 어휘가 생략된 경우는 질의문의 마지막 어절의 의미 정보를 이용하여 질의유형을 분류한다. 의문사 주변의 명사들이 마지막 어절에 출현하는 명사들에 대해 동의어 정보와 접미사 정보를 이용하여 질의 유형 분류의 성능을 향상시킨다. 본 논문에서 제안한 시스템은 질의 유형에 대한 분류는 97.4%의 정확도를 보였다.

• Journal of the HCI Society of Korea
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• v.9 no.2
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• pp.53-59
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• 2014

The objectives of this research is to compare UX elements influencing the satisfaction of users in Korea and North America according to product types of mobile commerce services, to determine UX INDEX suitable for each type of service, and to derive positively influencing UI factors through analyzing the relationship between UX INDEX and UX design detail factors. This research showed that there was difference in perceived reliability according to selling product types and there was difference in both perceived usefulness and reliability according to users in Korea and North America. Also, this research found out that, in analysis of relationship between UX INDEX and UX design detail factors, UI factors to understand a service structure generally showed close relationship but factors such as troubleshooting and help showed difference between users in Korea and users in North America.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.481-490
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• 2016

Today, the advance of a community tool such as a SNS enables users to easily share information each other and quickly deliver various opinions to suppliers. The suppliers are trying to create new value through co-creation strategies in order to satisfy rapidly and variously changing user's needs. User-participation-based idea platforms are emerging as a open innovation space that can provide user participation and interaction between suppliers and users. However, although each idea platform has specific advantages in each stage of a development process, this development process is not generalized as one complete, integrated development process. Thus, the development of an effectively integrated process, which includes advantages in each stage of the process, is needed. This research aims to analysis the characteristics of idea platforms based on the classification of idea platforms as a basic study for proposing a new development processes of them. This research will contribute to the guideline for developing a new user-participation-based idea platform.

• Archives of design research
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• v.19 no.1 s.63
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• pp.317-328
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• 2006

So far, the behaviors of Web users have been predicted or analyzed mostly by their demographic characteristics or by considering in which context they gain access to that. But now there is a question about whether those characteristics are the only factors to trigger their use of Web. If the answer is not affirmative, what types of additional factors could cause such an action and how they characterize it should be discussed. User profile information has been considered one of the crucial elements to define user characteristics in user-centered UI design sector, and in order to apply it to UI design, it's needed to meditate on the above-mentioned questions. In this study, it's first attempted to have a good understanding of the users of different media and to review existing user classification methods. Next, user classification variables and relevant scales were prepared to sort out users according to their type of using Web, and case study was conducted to identify the behavioral characteristics of users and classify them according to their behavioral features. Finally, the user profile features of individual user groups were figured out based on data that were gathered by making an experiment, and data mapping was fulfilled between the behavioral characteristics and user profile characteristics to find out what types of behaviors were caused by the characteristics of user profile. As a result, it's found that user characteristics could have an impact on not only their general information and relevant contexts but their attitude of using different media and personality type. There were some problems with the experimental design, but more accurate information on the relationship of user behaviors to user profile characteristics will be obtained if those problems are eliminated. As user behaviors could be predicted only by user profile characteristics, user classification is expected to make a contribution to enhancing the efficiency of UI design.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.409-411
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• 2005

사용자를 지원하기 위한 고객지향 인터페이스를 설계하여 사용자가 데이터 입력시에 재사용할 수 있는 이벤트 객체의 공통성과 가변성을 연구하여 데이터를 재사용할 수 있도록 하는 방법을 연구하였다. 미래의 컴퓨터는 성능이 무한하게 성장할 것이다. 따라서 컴퓨터 성능부하 보다는 고객지향 소프트웨어를 개발하는데 초점을 맞추어야 한다. 따라서 본 연구에서는 사용자 인터페이스에서 사용자의 입력 및 업무처리를 용이하도록 지원할 수 있는 재사용 데이터 객체 유형을 4가지로 정의하고, 객체의 추출 방법과 유형별 객체의 사례를 보여주고 있다. 본 연구는 신속한 데이터의 입력과 오류를 감소시켜 주고 입력 데이터를 재사용할 수 있도록 한다.

• Review of KIISC
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• v.23 no.6
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• pp.67-75
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• 2013

최근 인터넷뱅킹 해킹 기술과 악성코드 배포 기술이 빠르게 진화하고 공격형태도 더 정교해짐에 따라 사용자 PC에 설치된 보안 도구만으로는 더 이상 전자금융 서비스의 안전성을 담보하기 어려워지고 있다. 이러한 상황에서 메모리 해킹 악성코드에 의한 불법 계좌이체 사고가 빈번하게 발생하여 사회적 이슈가 되고 있으며, 개정된 전자금융 거래법에서는 고객의 PC가 해킹되었다고 하더라도 이로 인해 발생한 금융 사고에 대한 손해 배상을 금융회사가 우선 책임지게 되어 있어 대응이 필요한 시점이다. 본 논문은 기 발생한 메모리 해킹 악성코드에 의한 인터넷뱅킹 사고로부터 파생될 수 있는 공격유형을 도출하고 사용자 인증수단이 해당 공격유형에 어떤 취약점을 노출하는지 살펴봄으로써 사용자 PC에 메모리 해킹 악성코드가 감염되어 있다고 하더라도 안전하게 전자금융 서비스를 완료할 수 있는 사용자 인증수단을 고찰해 보고자 한다.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.155-168
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• 2007

Social and psychological experiences in human-agent interactions are becoming more important than the task-oriented efficiency, as the influence of computer agents increases and human-agent interaction develops similarly with interpersonal interaction. Many previous studies aimed to increase social presence in human-agent interaction, in order to derive users' positive psychological experiences, by applying the factors of interpersonal communication to verbal and non-verbal communication of the agents. This study examined the effects of the exchanges of mutual self-disclosure, one of the most important communication acts in interpersonal communication, between users and interface agents. Users' attachment styles towards the perception of social presence, the evaluations toward the agents, user experiences, and the intentions for future interaction were also studied. The mediating role of social presence in dependent variables was, also, examined in this research. The results showed that exchanging self-disclosures with an agent increased the perceptions of social experience, friendly evaluations toward the agent, positive user experience, and the intentions for future interaction. Participants' attachment styles, also, affected the perceptions of the dependent variables. The effects of the exchanges of self-disclosure and participants' attachment styles were mediated by perceived social presence toward the agent. The findings of this study imply that the social and communicational aspects need to be considered in design of the agents seriously. The results also suggest that there may be differences in the psychological effects of agents on users according to the users' personality.