• Title/Summary/Keyword: 사용자요인

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Research about Factor Affecting the Continuous Use of Cloud Storage Service : User Factor, System Factor, Psychological Switching Cost Factor (클라우드 스토리지 서비스의 지속적 사용의도에 영향을 미치는 요인 연구 : 사용자 요인, 시스템 요인, 심리적 전환비용)

  • Jun, Chang-Joong;Lee, Jung-Hoon;Jeon, In-Sook
    • The Journal of Society for e-Business Studies
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    • v.19 no.1
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    • pp.15-42
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    • 2014
  • Cloud storage service has the potential to be a core infrastructure for the future mobile and Internet service; thus related service providers have been investing in it and trying to attract as many users as possible. In addition, those need to find out what motivates the users to keep using their service not only to attract new customers but also to secure their subscribers. Therefore, this study will examine its relationship with user's motivation based on the extended TAM model with external variables for objective research about continuous use of cloud storage service. As a result, it was found that personal innovativeness, self efficacy, functional attributes, and psychological switching cost influence the continuous use of cloud storage service. Also, it is expected they can guide service providers to the right track when setting up their business strategy in the future.

A study on innovation resistance of voice user interface - With emphasis on mobile intelligent personal assistance service - (음성 사용자 인터페이스에 대한 사용자 혁신저항 요인 연구 - 모바일 지능형 개인비서 서비스 중심으로 -)

  • He, jie;Zhao, zi-han
    • Proceedings of the Korea Contents Association Conference
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    • 2017.05a
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    • pp.467-468
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    • 2017
  • 본 연구에서는 모바일 지능형 개인비서 서비스의 음성 사용자 인터페이스(Voice User Interface, VUI) 사용에 있어서 혁신저항요인을 연구한다.

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검색 효과성에 영향을 미치는 시맨틱 검색 시스템 평가요인에 관한 실증적 연구

  • Han, Dong-Il;Hong, Il-Yu
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.52-57
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    • 2007
  • 본 연구는 검색의 궁극적인 니즈충족에 영향을 미치는 시맨틱 검색 시스템 품질 평가요인에 관한 실증적 연구이다. 시맨틱 검색 시스템 품질 평가요인을 위한 연구모델은 DeLone & McLean(2003)의 정보시스템 성공 모델을 기반하였다. 연구 결과, 상호작용성이 지식 충족도에, 정보의 재현성과 정보의 최신성이 각각 지식 충족도와 사용자 만족도에, 그리고 신뢰성이 사용자 만족도에 유의적인 영향을 보여주었으며, 또한 지식 충족도가 사용자 만족도에 영향을 미치는 것으로 나타났다. 본 연구에서 제시한 모델은 시맨틱 검색 시스템 성공측정을 위한 유용한 평가 프레임워크로 사용될 수 있을 것으로 기대된다.

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전자상거래 활성화에 영향을 미치는 요인에 관한 연구

  • 오창규
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1998.03a
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    • pp.265-279
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    • 1998
  • 전자상거래는 통합적 정보체계 환경아래서 정부, 기업, 개인가넹 이루어지는 생사느 구매, 수소, 재무, 행정, 서비스 등의 상업적인 거래를 의미한다. 본 연구에서는 기업간의 거래인 'Business-to-Business', 기업과 개인간의 거래인 'Business-to-Customer', 그리고 개인과 개인간의 거래인 'Customer-to-Customer'의 거래중에서 인터넷을 통해 기업과 소비자가 상품과 서비스의 매매가 이루어지는 기업과 개인간의 거래인 'Business-to-Customer'거래라는 협의의 전자상거래 개념을 사용하였다. 전자상거래를 활성화하는데 있어서 작용하는 요인들에 관한 연구를 과거의 문헌연구들을 통해 관련요인을 찾아 체계적으로 분류, 정리하엿다. 그리고 이를 토대로 전자상거래 활성화를 위한 가장 기본적이고 중요한 독립변수로서 공급자 측면에서 네가지의 하위 요인(기술, 정보, 제품, 거래)을 가진 '서비스 품질(Service Quality)'과 고객 측면에서 네 가지의 하위 요인(구매습관, 생활양식, 전자상거래에 대한 지각, 인구통계적 요인)을 가진 '사용자 태도(Customer Atttitute)'를 선정함으로써 공급자와 소비자를 연결한 개념적인 모형을 제시하였다. 그리고 이러한 개념적인 서비스 품질가설과 사용자 측면에서 사용자 태도가설을 제시하였다.

An Empirical Study on the Success Factors for Military Knowledge Management System (군 지식관리시스템의 성공요인에 관한 실증적 연구)

  • Tak, Joo-Ik;Ha, Jin-Hwang
    • Journal of the military operations research society of Korea
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    • v.34 no.2
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    • pp.123-142
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    • 2008
  • This research derived five success factors(the characteristics of system, knowledge, management, organization and users) for knowledge management system(KMS) and empirically analyzed the influence on the performance(usage and user satisfaction) by setting these characteristics to military KMS. This study shows that user characteristic affects most positive(+) effect to usage, and knowledge characteristic affects most positive(+) effect to user satisfaction but organization characteristic affects negative(-) effect to usage and user satisfaction. The result of this research illustrates the successful operation of military KMS and expects the early settlement of the military forces that will establish KMS by reducing initial trial and errors.

Anthropomorphic Design Factors of Pedagogical Agent : Focusing on the Human Nature and Role (학습용 에이전트 의인화 설계 요인: 인간성과 역할을 중심으로)

  • Shim, Hye Rin;Choi, Junho
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.358-369
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    • 2022
  • The purpose of this study is to verify the anthropomorphic design factors of pedagogical agents that can enhance user experience in learning foreign languages (English) through smartphones. In this study, when designing a pedagogical agent that delivers content, the presence or absence of the agent's image, the degree of human nature (HN), and role setting (leader vs. companion) among the anthropomorphic factors that influence facilitating learning, credibility, and engagement perception. As a result of the experiment, HN alone did not show a facilitating learning effect, and images and roles improved not only the facilitating learning effect but also other user experience factors. When HN factors were designed in combination with image and role factors, they were effective in overall user experience effects such as facilitating learning, credibility, and engagement.

A Study on the Possibility of User Classification by Web-Using Types (웹 이용행태에 따른 사용자분류 가능성에 관한 연구)

  • Shin, Mok-Young;Kim, Byoung-Uk
    • 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.

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Text Mining Analysis of Customer Reviews on Public Service Robots: With a focus on the Guide Robot Cases (텍스트 마이닝을 활용한 공공기관 서비스 로봇에 대한 사용자 리뷰 분석 : 안내로봇 사례를 중심으로)

  • Hyorim Shin;Junho Choi;Changhoon Oh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.787-797
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    • 2023
  • The use of service robots, particularly guide robots, is becoming increasingly prevalent in public institutions. However, there has been limited research into the interactions between users and guide robots. To explore the customer experience with the guidance robot, we selected 'QI', which has been meeting customers for the longest time, and collected all reviews since the service was launched in public institutions. By using text mining techniques, we identified the main keywords and user experience factors and examined factors that hinder user experience. As a result, the guide robot's functionality, appearance, interaction methods, and role as a cultural commentator and helper were key factors that influenced the user experience. After identifying hindrance factors, we suggested solutions such as improved interaction design, multimodal interface service design, and content development. This study contributes to the understanding of user experience with guide robots and provides practical suggestions for improvement.

A study on factors affecting user experience in Korean independent bookstores (지역 서점에서 사용자 경험에 영향을 미치는 요인에 관한 연구)

  • Joo, Su-Yeon;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.17 no.3
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    • pp.371-377
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    • 2019
  • This study is about finding factors affecting user experience satisfaction in Korean local bookstores which are increasing recently. Previous researches are concentrated on the aspect of supplier. However, a study for actual users is needed to help develop bookstore industry. The local bookstores were classified into independent, professional, and complex cultural bookstores. Based on the four realms of an experience by the Experience Economy, this study analyzed the experience factors through questionnaires. As a result of study, the three most significant factors influencing experience satisfaction were identified through regression analysis. It is expected that this study may help develop the local bookstores industry in the future by concentrating on the actual experience of the user and finding out the major experience factors.

A Study on Consumers' Perception of and Use Motivation of Artificial Intelligence(AI) Speaker (인공지능 스피커(AI 스피커)에 대한 사용자 인식과 이용 동기 요인 연구)

  • Lee, Heejun;Cho, Chang-Hoan;Lee, So-Yoon;Keel, Young-Hwan
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.138-154
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    • 2019
  • This study was conducted to identify the use motivations of AI speaker and examine the characteristics of AI speaker users. Based on the uses and gratifications theory, The study results show that the user motivations of AI speaker are four dimensional, namely escaping from daily problems and maintaining social relationships, information acquisition and learning, entertainment and relaxation and pursuit of practicability. The main AI speaker users are in their 30s, and they are innovative to actively use AI speakers for entertainment purposes such as listening to music. The four sub-dimensions differed as we compared them with user characteristics. Specifically, the motivation for escaping from daily problems and maintaining social relationships varied with gender and age. Moreover, age and informativeness were identified to have an influence on the motivations of information acquisition and learning and entertainment and relaxation. In sum, this research provides practical implications into how to strategically create contents and services for AI speakers.