• Title/Summary/Keyword: 과학기술 어플리케이션

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TradeB: A Blockchain-based Property Trade Service Using Trusted Brokers (TradeB: 신뢰성있는 중개인을 통한 블록체인 기반 재화 계약 서비스)

  • Yoon, Yeo-Guk;Eom, Hyun-Min;Lee, Myung-Joon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.9
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    • pp.819-831
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    • 2019
  • The types of properties traded in modern times are rapidly increasing due to changes in consumption patterns. However, as the type of properties traded increases, estimation about the value of properties may become inaccurate. There is a problem that it is difficult for consumers to estimate the right value and the variety of trading forms makes it difficult to guarantee the reliability of value estimation As access to a variety of properties has expanded, these shortcomings are considered to be a factor that hinders the stability of the shared economic market. In this paper, to resolve this issue, we present a blockchain-based property contract service through a trusted broker. The developed service registers trusted brokers into smart contracts on the Ethereum blockchain and use them for the evaluation and contract process of properties. In addition, registered contents, proposals and contracts of properties are stored in the blockchain to ensure the reliability of the contract process. Every step of the contract process is stored in the smart contract, recorded in the transaction history of the blockchain, ensuring the reliability of the stored data. In addition, the entire process of registration, proposal, and contract is driven by smart contracts designed by state machine technology, enabling users to more securely control the contract process.

Usability Evaluation of Artificial Intelligence Search Services Using the Naver App (인공지능 검색 서비스 활용에 따른 서비스 사용성 평가: 네이버 앱을 중심으로)

  • Hwang, Shin Hee;Ju, Da Young
    • Science of Emotion and Sensibility
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    • v.22 no.2
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    • pp.49-58
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    • 2019
  • In the era of the 4th Industrial Revolution, artificial intelligence (AI) has become one of the core technologies in terms of the business strategy among information technology companies. Both international and domestic major portal companies are launching AI search services. These AI search services utilize voice, images, and other unstructured data to provide different experiences from existing text-based search services. An unfamiliar experience is a factor that can hinder the usability of the service. Therefore, the usability testing of the AI search services is necessary. This study examines the usability of the AI search service on the Naver App 8.9.3 beta version by comparing it with the search services of the current Naver App and targets 30 people in their 20s and 30s, who have experience using Naver apps. The usability of Smart Lens, Smart Voice, Smart Around, and AiRS, which are the Naver App beta versions of their artificial intelligence search service, is evaluated and statistically significant usability changes are revealed. Smart Lens, Smart Voice, and Smart Around exhibited positive changes, whereas AiRS exhibited negative changes in terms of usability. This study evaluates the change in usability according to the application of the artificial intelligence search services and investigates the correlation between the evaluation factors. The obtained data are expected to be useful for the usability evaluation of services that use AI.

Factors Predicting Increased Usage Hours of Smartphone among Adolescents (청소년의 스마트폰 사용시간 증가 예측요인)

  • Park, Jeong Hye
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.3201-3209
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    • 2018
  • The purpose of this study was to explore the factors predicting increased usage hours of smartphone among adolescents. Secondary data was analyzed to be collected from a nationally representative sample of 2017 Korean adolescents. This study sample included 54,601 students in middle or high schools of Korea. The collected data were analyzed SPSS version 23.0 program for frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient and binary logistic regression analysis. In the results, the mean usage hour of smartphone among the adolescents was 28.42 (SD 23.30) per week. Analyses of the differences in usage hours of smartphone according to research variables were found that the groups of lower level of study (F=1361.067, p<.001) and sociality content type (F=761.549, p<.001) spent more time, as compared to the other groups. The logistic analysis showed the predictive factors for increased hour of using smartphone were smartphone usage for sociality (OR: 2.44, 95% CI: 2.26-2.64) and peer group counselor (OR: 1.49, 95% CI: 1.49). Conclusionally, the findings of this study suggests that it needs to understand cause or purpose of smartphone using of adolescent and to cope and educate on the cause.