• 제목/요약/키워드: Privacy Benefit

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스마트폰 위치기반서비스에서 정보제공의도 : 프라이버시 계산 관점을 중심으로 (Intention to Disclose Personal Information in LBS : Based on Privacy Calculus Perspective)

  • 김종기;김상희
    • 한국정보시스템학회지:정보시스템연구
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    • 제21권4호
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    • pp.55-79
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    • 2012
  • LBS(Location-Based Service) is one of the smartphone application services which has been receiving great attention recently. Various applications of smartphone use LBS to provide innovative services. However, use of LBS raises privacy concerns because the location information of users is constantly exposed. Privacy calculus perspective attempts to understand the characteristics of the user's privacy. It is based on the risk-benefit analysis in the economics' perspective. That is, when the benefit expected through personal information disclosure is higher than risk, we are willing to provide personal information. This research suggested a research model based on the privacy calculus perspective to clarify the effect of information disclosure intention of smartphone LBS application users. Based on the main factors of privacy calculus, perception of privacy risk and privacy benefit, the relationship of the perceived value and the information disclosure intention was empirically analyzed by utilizing structural equation modeling(SEM) methodology. According to the results of the empirical analysis, it was found that all relations have statistically significant explanatory power except the relation between privacy concern and information disclosure intention. This study showed a strong evidence of antecedent factors based on privacy calculus of personal information disclosure in smartphone LBS applications.

신체 정보를 활용한 사이즈 추천 서비스에 대한 소비자의 정보 프라이버시 염려와 정보 제공 의도 -프라이버시 계산 이론을 중심으로 (Effect of Consumers' Privacy Concerns on Information Disclosure Intentions for Size Recommendation Services Based on Body Information -Focusing on Privacy Calculus Theory)

  • 서상우
    • 한국의류학회지
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    • 제47권3호
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    • pp.442-458
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    • 2023
  • This study aimed to elucidate the information privacy attitudes and behaviors of users of size recommendation services based on body information. Focusing on the privacy calculus theory, the effects of information privacy concerns as well as perceived risk and benefit of information disclosure on information disclosure intention were analyzed. Consumers who used size recommendation services based on body information were surveyed from August 18 to 24, 2022. Analysis of the 251 responses collected revealed that information privacy concerns did not significantly affect information disclosure intention. Information privacy concerns had a positive effect on perceived privacy risk; however, perceived privacy risk had a negative effect on information disclosure intention, while perceived privacy benefit had a positive effect on information disclosure intention. Therefore, the privacy calculus theory confirms the existence of the privacy paradox, revealing perceived privacy benefit has a greater impact on information disclosure intention than perceived privacy risk.

Antecedents Affecting the Information Privacy Concerns in Personalized Recommendation Service of OTT

  • Yujin Kim;Hyung-Seok Lee
    • 한국컴퓨터정보학회논문지
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    • 제29권4호
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    • pp.161-175
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    • 2024
  • 본 연구는 OTT 개인화된 추천서비스에 대한 프라이버시 염려와 개인정보 제공 의도에 미치는 선행요인들을 분석하였다. 먼저 OTT 개인화 추천시스템의 특성을 정확성, 다양성, 신기성으로 하였고, 성격 5요인 모형인 친화성, 정서적 불안정성, 성실성, 외향성, 경험에 대한 개방성을 활용하였다. 또한 지각된 투명성을 추출하여 정보 프라이버시 염려, 개인정보 제공 의도 간의 관계를 분석하였다. 그리고 서비스 혜택과 개인정보 제공 의도 간의 관계를 살펴본 후 프라이버시 염려와 개인정보 제공 의도에 있어 조절 효과가 있는지 분석하였다. 연구 결과에 따르면 개인화 추천시스템 특성들은 유의한 영향을 미치지 못하는 것으로 나타났으나, 성격 5요인 중 정서적 불안정성, 외향성, 경험에 대한 개방성은 유의한 영향을 미치는 것으로 나타났다. 또한, 지각된 투명성 역시 프라이버시 염려에 유의한 영향을 미치는 것으로 나타났다. 프라이버시 염려와 서비스 혜택은 개인정보 제공의도에 유의미한 영향을 미치며 프라이버시 염려와 개인정보 제공의도 간에 서비스 혜택이 조절효과를 가지는 것으로 나타났다. 본 연구의 결과는 OTT 기업들이 사용자들의 프라이버시 보호 행동을 이해하는데 도움을 줄 것으로 본다.

The Impact of Privacy Control on Users' Intention to Use Smart Home Internet of Things (IoT) Services

  • Kim, Mingyung;Choi, Bo Reum
    • Asia Marketing Journal
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    • 제24권1호
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    • pp.29-38
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    • 2022
  • Despite the diverse benefits of smart home Internet of Things (IoT) services, the biggest obstacle to the actual usage of those services is concern about privacy. However, little research has investigated the impact of privacy control on users' intention to use smart home services. Based on communication privacy management theory and privacy calculus theory, this study investigates how privacy control options affect users' perceived benefits and costs and how those perceptions affect individuals' intentions to use smart home services by conducting an experiment. Our results showed that smart home privacy control options decreased perceived benefits and increased perceived costs. The perceived benefits and costs significantly affected the intention to use smart home security services. More intriguingly, the effect of perceived benefit was found to be stronger than that of the expected cost. This research contributes to the field of IoT and smart home research and provides practitioners with notable guidelines.

고도 정보 연계 사회의 구축을 위한 SPB(Seamlessness-Privacy-Benefit) 패러다임 (SPB(Seamlessness-Privacy-Benefit) Paradigm for Construction of Highly-Connected Information Society)

  • 이경전;전정호
    • 한국IT서비스학회지
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    • 제11권2호
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    • pp.131-146
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    • 2012
  • The purpose of this research is two-fold : (1) we propose the paradigm to construct a connected information society according to a judgment where a coming information society will evolve into highly-connected information society having "seamlessness" as a keyword, and (2) we draw guidelines to construct infrastructures and establish systems and business models of highly-connected information society based on suggested paradigm. To achieve this, this research conducts the followings. First, we suggest reasons why a coming information society can be appropriate to be considered as highly-connected information society by examining two perspectives on the coming information society. Second, we explain the definition and characteristics of highly-connected information society and propose the SPB paradigm. Third, we analyze the utility of SPB paradigm by evaluating practices. Finally, we suggest four strategies to construct highly-connected information society based on advanced research findings and future research directions.

소비자 프라이버시 역설 경험에 대한 탐색적 연구: 근거이론적 접근 (An Exploratory Study on Consumer Privacy Paradox Experience: Grounded Theory Approach)

  • 김효정;나종연
    • Human Ecology Research
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    • 제55권2호
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    • pp.205-219
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    • 2017
  • This study redefines 'consumer privacy attitude and behavior discrepancy' that occurs in the transaction environment that exists between consumer and provider as 'consumer privacy paradox.' In this study, qualitative research was conducted based on grounded theory. This study explored how consumers react to a privacy paradox as well as looked into how to adapt to the negative and positive results that can be generated by the privacy paradox. 'Consumer privacy paradox' is the same as the existing privacy paradox in that consumers can utilize the resources of personal information to consume and benefit from the market environment. However, it differs from previous studies in that it examines the privacy paradox in terms of consumer influence and consumer experience. The results of the study are as follows. First, a paradigm model of the consumer privacy paradox was derived. Second, consumers used three types of strategies to rationalize themselves or maintain indifference or relief to cope with the consumer privacy paradox. Third, the possibility of damage and the responsibility for privacy protection were the mediators of the consumer privacy paradox. Fourth, the 'result' generated by the consumer privacy paradox showed four types of: non-response, satisfaction, commitment to change, and negative emotional experience. Fifth, there is a difference in strategies to respond to the consumer privacy paradox according to consumer types.

AI의 혜택 및 위험성 인식과 AI에 대한 태도, 정책 지지의 관계 (Perceptions of Benefits and Risks of AI, Attitudes toward AI, and Support for AI Policies)

  • 이자연
    • 한국콘텐츠학회논문지
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    • 제21권4호
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    • pp.193-204
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    • 2021
  • 정부가 '전산업 AI 활용, 전국민 AI 교육'을 국가적 과제로 추진하고 있는 가운데, 본 연구는 설문 자료 분석을 통해 국민의 AI 정책에 대한 지지에 영향을 끼치는 요인들을 파악하고자 하였다. 구체적으로 위험-혜택 이론과 이중처리 이론에 기반해 사람들이 지각하는 AI의 상반된 특성들이 어떻게 혜택 및 위험성 인식으로 연결되며 AI에 대한 전반적 태도와 AI 산업 육성 및 교육 정책의 지지로 이어지는지 구조방정식 모형을 통해 탐색하고, 그 과정에서 혜택/위험성 인식 및 태도가 매개 변인으로서 기능하는지 살펴보았다. 분석 결과, AI의 알려진 특성들 가운데 인지된 유용성이 AI의 혜택 인식을 구성하는 주요소였으며 이 혜택 인식이 AI에 대한 태도를 거쳐 AI 정책 지지로 유의하게 이어진다는 점이 드러났다. 또한 혜택 인식과 AI에 대한 태도가 지각된 유용성을 AI 정책 지지로 잇는 매개 역할을 유의하게 수행하는 것을 알 수 있었다. 인지된 오락성은 AI에 대한 긍정적 태도로 유의하게 이어졌지만 AI의 혜택으로 인식되지는 않았다. 인지된 사생활 침해는 AI의 위험성 인식을 예측하는 주된 요인이었지만 위험성 인식은 AI에 대한 태도나 AI 정책 지지와 유의한 관계를 보이지 않았다. 결론적으로 AI 개발 지지 여부를 결정짓는 가장 강력한 요인은 혜택에 대한 인식이며, 혜택 인식을 유의하게 예측한다는 점에서 유용성 지각의 중요성을 알 수 있었다.

프라이버시 계산 관점에서 위치기반서비스 이용의도에 대한 프라이버시 염려의 영향 (Influence of Privacy Concerns on Intention to Use Location-based Services Based on Privacy Calculus Perspective)

  • 김종기
    • 디지털융복합연구
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    • 제15권12호
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    • pp.265-272
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    • 2017
  • 스마트폰의 위치기반서비스가 활발히 사용됨에 따라 사용자들이 자신의 위치정보의 노출에 대한 염려가 커지고 있다. 본 연구는 프라이버시 계산 이론에 기반하여 스마트폰 사용자들이 자신의 위치정보의 제공을 어떻게 받아들이는지 확인하고자 연구모형을 개발하였다. 대학생을 대상으로 수집한 데이터를 SmartPLS를 이용하여 분석한 결과 프라이버시 계산 관점의 기존 연구와는 다른 결과를 얻었다. 프라이버시 계산이론은 인간은 합리적인 존재이며, 위험과 효과 측면을 고려하여 프라이버시 정보의 제공을 결정한다고 본다. 본 연구의 결과는 프라이버시 염려는 위험에 유의하게 영향을 미치나, 사용의도는 효과에 의해서 유의하게 영향을 미쳤다. 이러한 결과는 감정적 판단과 행동적 판단이 서로 상이한 요인에 의해서 영향을 받는다는 행동경제학적 관점과 일치한다.

컨텍스트 인식 헬스케어 어플리케이션을 위한 개인화된 정보 공개 기법 (Personal Information Disclosure Control in Context-aware Healthcare Applications)

  • 우마 라쉬드;최아영;우운택
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2006년도 학술대회 1부
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    • pp.970-975
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    • 2006
  • There is a tradeoff between user's privacy and utility of context-aware services in ubiquitous computing environments. Many privacy models have been proposed to support the disclosure of personal information at different levels of detail, in ubiquitous computing environments. However, most of these models do not allow for explicit criteria to assess the benefit users are likely to reap by disclosing their personal information. In this paper, we propose an automated decision making mechanism that evaluates the "benefit of disclosure" for the users based on trust relationships between users and information requesters and manages the disclosure of user's personal information accordingly. Unlike other trust models, we do not regard the reputation of an information requester as sufficient to determine his/her trustworthiness. Instead, we represent trustworthiness as a function of information requester's reputation in the eyes of the user and his/her competence in a given context. To validate our mechanism, we apply it to context-aware healthcare application that monitors physiological condition of a user.

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사물인터넷 환경에서의 소비자 쇼핑 인식 (Consumer shopping perceptions of an Internet of Things environment)

  • 이민선;이현화
    • 복식문화연구
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    • 제29권1호
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    • pp.1-15
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    • 2021
  • The Internet of Things (IoT) has gained enormous popularity in various fields of industry. An IoT shopping environment is considered an effective tool for convenient use by consumers. Perceived values (including convenience and privacy risks) of IoT shopping can be the main factors that influence consumers' shopping intentions. The current study proposed a research model based on a value-based adoption model, which integrated perceived benefit and sacrifice, shopping attitude, and shopping intention in an IoT shopping environment. As potential customers, participants in their 20s and 30s were recruited through a marketing research firm. Responses collected via an online questionnaire validated the proposed research model and hypothesis. The results confirmed significant, positive relationships between perceived benefit, including both remote control and access convenience, and consumers' positive attitudes toward IoT shopping. The association between perceived privacy risk and consumers' shopping attitudes was not significant. The indirect effects of two benefits of IoT shopping on shopping intention were also significant and positive. From a practical perspective, this study can help marketers and service providers manage their IoT shopping platforms or applications more effectively to attract consumers. The implications and limitations of this study are discussed. Directions for future research and development of IoT shopping environment are suggested.