• 제목/요약/키워드: Perception of user

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Information Security on Learning Management System Platform from the Perspective of the User during the COVID-19 Pandemic

  • Mujiono, Sadikin;Rakhmat, Purnomo;Rafika, Sari;Dyah Ayu Nabilla, Ariswanto;Juanda, Wijaya;Lydia, Vintari
    • Journal of information and communication convergence engineering
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    • 제21권1호
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    • pp.32-44
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    • 2023
  • Information security breach is a major risk in e-learning. This study presents the potential information security disruptions in Learning Management Systems (LMS) from the perspective of users. We use the Technology Acceptance Model approach as a user perception model of information security, and the results of a questionnaire comprising 44 questions for instructors and students across Indonesia to verify the model. The results of the data analysis and model testing reveals that lecturers and students perceive the level of information security in the LMS differently. In general, the information security aspects of LMSs affect the perceptions of trust of student users, whereas such a correlation is not found among lecturers. In addition, lecturers perceive information security aspect on Moodle is and Google Classroom differently. Based on this finding, we recommend that institutions make more intense efforts to increase awareness of information security and to run different information security programs.

RFID/USN 보안을 위한 프로토콜 설계 (Design of protocol for RFID/USN security)

  • 박상현;박상민;신승호
    • 대한안전경영과학회지
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    • 제9권3호
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    • pp.103-109
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    • 2007
  • Payment and security requirement are playing an increasingly critical role in RFID system, allegedly the core of the ubiquitous, especially in logistics. Therefore, security technology has been playing essential role gradually unlike the past when only the perception of equipment was considered important technology. The current encoding system allows the access only to the user who has the secret key. Many encoding algorithm has been studied to ensure the security of secret key. Security protocol is the most typical way to authorize appropriate user perception by using the data and secret key to proceed the encoding and transmit it to the system in order to confirm the user. However, RFID system which transmits more than dozens of data per second cannot be used if the algorithm and protocol of the existing wired system are used because the performance will degrade as a consequence. Security protocol needs to be designed in consideration of property of RFID and hardware. In this paper, a protocol was designed using SNEP(Sensor Network Encryption Protocol), the security protocol used for the sensor similar to RFID- not the current system used in wired environment- and ECC (Elliptic Curve Cryptography: oval curve encoding), the encoding algorithm.

Research on UAV access deployment algorithm based on improved virtual force model

  • Zhang, Shuchang;Wu, Duanpo;Jiang, Lurong;Jin, Xinyu;Cen, Shuwei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권8호
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    • pp.2606-2626
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    • 2022
  • In this paper, a unmanned aerial vehicle (UAV) access deployment algorithm is proposed, which is based on an improved virtual force model to solve the poor coverage quality of UAVs caused by limited number of UAVs and random mobility of users in the deployment process of UAV base station. First, the UAV-adapted Harris Hawks optimization (U-AHHO) algorithm is proposed to maximize the coverage of users in a given hotspot. Then, a virtual force improvement model based on user perception (UP-VFIM) is constructed to sense the mobile trend of mobile users. Finally, a UAV motion algorithm based on multi-virtual force sharing (U-MVFS) is proposed to improve the ability of UAVs to perceive the moving trend of user equipments (UEs). The UAV independently controls its movement and provides follow-up services for mobile UEs in the hotspot by computing the virtual force it receives over a specific period. Simulation results show that compared with the greedy-grid algorithm with different spacing, the average service rate of UEs of the U-AHHO algorithm is increased by 2.6% to 35.3% on average. Compared with the baseline scheme, using UP-VFIM and U-MVFS algorithms at the same time increases the average of 34.5% to 67.9% and 9.82% to 43.62% under different UE numbers and moving speeds, respectively.

A Study on User Perception of Tourism Platform Using Big Data

  • Se-won Jeon;Sung-Woo Park;Youn Ju Ahn;Gi-Hwan Ryu
    • International journal of advanced smart convergence
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    • 제13권1호
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    • pp.108-113
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    • 2024
  • The purpose of this study is to analyze user perceptions of tourism platforms through big data. Data were collected from Naver, Daum, and Google as big data analysis channels. Using semantic network analysis with the keyword 'tourism platform,' a total of 29,265 words were collected. The collection period was set for two years, from August 31, 2021, to August 31, 2023. Keywords were analyzed for connected networks using TexTom and Ucinet programs for social network analysis. Keywords perceived by tourism platform users include 'travel,' 'diverse,' 'online,' 'service,' 'tourists,' 'reservation,' 'provision,' and 'region.' CONCOR analysis revealed four groups: 'platform information,' 'tourism information and products,' 'activation strategies for tourism platforms,' and 'tourism destination market.' This study aims to expand and activate services that meet the needs and preferences of users in the tourism field, as well as platforms tailored to the changing market, based on user perception, current status, and trend data on tourism platforms.

Research on the Continuous Use Intention of Mobile Bus Payment App from the Perspective of user Quality Perception

  • Li, Shuo;Sun, Cong-Ying
    • 한국컴퓨터정보학회논문지
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    • 제27권9호
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    • pp.217-224
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    • 2022
  • 본 연구는 D&M 모델과 ECM모델을 기반으로 소비자가 대중교통 모바일 결제 앱을 지속적으로 사용하는 데 영향을 미치는 연구 모델을 구축하였다. 온라인 설문조사를 통해 중국 베이징지역에서 264개의 유효한 설문지를 획득하여 Smartpls3.0으로 분석하였다. 연구 결과는, 지각된 정보의 질, 지각된 시스템의 질, 그리고 지각된 인터페이스 설계의 질은 지각된 유용성과 만족을 통하여 소비자 지속적 사용의도에 유의한 긍정적 영향을 미치는 것으로 나타났다. 지각된 기능의 질은 단지 지각된 유용성만을 통해 지속적 사용의도에 긍정적인 영향을 미치는 것이다.

딥러닝 기반 뉴로사이언스 마이닝 기법을 이용한 고객 매력/유용성 인지 (CAUP) 예측 성능에 관한 탐색적 연구: Dark vs Light 사용자 인터페이스 (UI)를 중심으로 (Exploring the Performance of Deep Learning-Driven Neuroscience Mining in Predicting CAUP (Consumer's Attractiveness/Usefulness Perception): Emphasis on Dark vs Light UI Modes)

  • 김민경;;이건창
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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    • pp.19-22
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    • 2022
  • In this work, we studied consumers' attractiveness/usefulness perceptions (CAUP) of online commerce product photos when exposed to alternative dark/light user interface (UI) modes. We analyzed time-series EEG data from 31 individuals and performed neuroscience mining (NSM) to ascertain (a) how the CAUP of products differs among UI modes; and (b) which deep learning model provides the most accurate assessment of such neuroscience mining (NSM) business difficulties. The dark UI style increased the CAUP of the products displayed and was predicted with the greatest accuracy using a unique EEG power spectra separated wave brainwave 2D-ConvLSTM model. Then, using relative importance analysis, we used this model to determine the most relevant power spectra. Our findings are considered to contribute to the discovery of objective truths about online customers' reactions to various user interface modes used by various online marketplaces that cannot be uncovered through more traditional research approaches like as surveys.

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Factors Influencing Online Shopping Intention: An Empirical Study in Vietnam

  • HA, Ngoc Thang;NGUYEN, Thi Lien Huong;PHAM, Thanh Van;NGUYEN, Thi Hong Tham
    • The Journal of Asian Finance, Economics and Business
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    • 제8권3호
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    • pp.1257-1266
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    • 2021
  • The study examines factors that influence shopping intention of online consumers in Vietnam. Studied factors include consumers' attitude, subjective norms, perception of behavioral control, perception of usefulness, perceived risks and trust. The expansion of Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) are used as basic theories. We have surveyed people who have experiences on online shopping. There are 836 selected questionnaires that are qualified for data processing. The collected data are analyzed through a process which starts from scale reliability test to exploratory factor analysis (EFA), correlation analysis and regression analysis. The results show that shopping intention of online consumers are positively affected by their attitude, subjective norms, perception of behavioral control, perception of usefulness and trust. In contrast, online shopping intention is negatively affected by the perceived risks that online shopping could bring. Among those factors, the perception of risk is shown to have the strongest influence to online shopping intention. The findings of this study suggest that managers and retailers can apply cash-on-delivery method and design their website with user-friendly interface to enhance online shopping intention of consumers. The Government is also recommended to fulfill the law system to reduce customers' perception of financial risks.

공공도서관 테마 컬렉션 효과에 대한 이용자 인식 연구 (Study on Users' Perception of the Effectiveness of Theme Collections in Public Libraries)

  • 백지원;표순희
    • 한국문헌정보학회지
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    • 제54권3호
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    • pp.115-139
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    • 2020
  • 본 연구는 점차 보편화되고 있는 공공도서관 테마 컬렉션 서비스의 효과를 이용자 관점에서 평가하는 데 목적이 있다. 이를 위해 선행연구를 바탕으로 테마 컬렉션의 효과 요소들을 서비스 이용, 사서, 도서관 차원에서 도출하였고, 테마 컬렉션 서비스를 주요한 도서관 서비스로 제공하고 있는 A공공도서관 이용자 294명을 대상으로 효과 인식에 대한 설문 조사를 수행하였다. 조사 결과, 테마 컬렉션을 알고 있는 이용자들의 장서 만족도가 그렇지 않은 이용자에 비해 높게 나타났고 생각지 못한 새로운 도서의 이용에 대한 만족에 높은 효과 인식을 보였다. 또한, 테마 컬렉션 효과 인식도 긍정적인 인식이 높은 것으로 나타났으며 긍정적 인식은 오래전부터 도서관을 이용해왔던 이용자, 자주 이용하는 핵심 이용자들이 높은 경향을 보였고 브라우징을 많이 하는 이용자들일수록 사서의 역량에 대한 효과 인식도가 높았다. 이러한 테마 컬렉션에 대한 이용자 인식과 평가를 바탕으로 테마 컬렉션의 효과와 의의를 반영하여 장서개발, 장서의 활용 및 정보서비스 제공, 이용자 중심의 분류, 도서관 및 사서에 대한 인식 개선의 관점에서 테마 컬렉션 서비스의 발전 방향을 제시하였다.

공공예술의 기본 특성에 따른 이용자 만족도 영향요인 연구-공항 공공예술을 중심으로 (Research on The Influencing Factors of User Satisfaction Based on Basic Characteristics of Public Art-A Case Study of Airport Public Art)

  • 장온;추장운;김치용
    • 한국멀티미디어학회논문지
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    • 제25권8호
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    • pp.1167-1174
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    • 2022
  • With the sustainable development and transformation of the city, public art as a business card of the famous city of culture has become a hot topic of research. The intervention of public art in public space not only brings users a sense of space experience, but also becomes a unique carrier of urban and rural image making. Although there is much research on the classification, aesthetics and function of public art, there is few quantitative research on user satisfaction. This paper takes the basic features of airport public art as a research object and the basic features of airport public art as the theoretical basis to study the impact of the basic characteristics of airport public art on user satisfaction. Research methods were based on questionnaire data of 247 people, in which models and hypotheses were tested using SPSS 21.0 software, based on the induction and extraction of nine influential factors in the basic characteristics of public art. The study found that public interpretation, media patterns, color perception, modeling form, place perception, city image and memory have significant positive effects on user satisfaction. The sharedness of public art, cognition and communication in public culture and spatial relations do not affect satisfaction. Conclusion, inspiration and prospect provide suggestions for designers and reference data and theoretical support for public art evaluation.

스마트폰 음성 인터페이스의 사용 현황 및 사용자 인식에 대한 조사 연구 (A Survey Study on the Utilization Status and User Perception of the VUI of Smartphones)

  • 최재호;김훈태
    • 한국전자거래학회지
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    • 제21권4호
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    • pp.29-40
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    • 2016
  • 음성 사용자 인터페이스(VUI)는 인간에게 가장 친숙하고 편안한 인터페이스이다. VUI는 이미 스마트폰에 적용되어 있으며 최근에는 클라우드 및 AI 기술의 발전으로 VUI 적용 제품은 더욱 확대되고 있다. 그러나 가장 많이 보급되어 있는 스마트폰의 경우에도 VUI를 사용하는 사용자는 매우 적은 상황이다. 본 연구의 목적은 현재 스마트폰에서 사용되고 있는 VUI의 이용 현황 및 사용자 인식을 조사하고 문제점을 파악하여 향후 VUI 사용성 제고를 위한 연구 방향을 제시하는 것이다. 163명의 대학생들을 대상으로 스마트폰 VUI의 사용 현황에 대한 설문 조사를 수행하였다. 조사 결과 VUI의 인지도는 높지만 사용률은 매우 낮았으며, 많은 사용자가 음성 인식 속도, 반응 속도 및 작동 방법에 대해 불편함을 느끼고 있는 것으로 나타났다. 대부분의 사용자가 호기심에서 VUI를 사용해봤지만 일부만이 계속 사용하고 있는 것으로 조사되었으며, 많은 사용자들이 기계에게 말하는 것과 다른 사람들이 듣는 것에 거부감을 가지고 있었다. 본 연구의 결과는 VUI의 활용도를 제고하기 위한 향후 연구에 도움이 될 것으로 기대된다.