• 제목/요약/키워드: Internet perception

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디지털위험 관리조직에 대한 신뢰가 위험지각과 위험관리에 미치는 영향: 전문가 조사를 중심으로 (Effect of Trust Toward Digital Risk Management Organization on Risk Perception and Cognition of Risk Management: Focused on Expert Survey)

  • 김원제;김찬원
    • 인터넷정보학회논문지
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    • 제16권4호
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    • pp.83-91
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    • 2015
  • 본 논문은 전문가들을 대상으로 디지털위험을 관리하는 조직에 대한 신뢰가 위험지각과 위험관리 인식에 미치는 영향을 규명하였다. 주요결과를 보면, 첫째, 전문가들이 디지털위험을 관리하는 조직인 정부, 관련 과학자그룹, 언론, 시민단체, 기업에 대한 신뢰가 높을수록 위험지각은 상대적으로 낮아지는 것으로 나타났다. 둘째, 한국사회 내에 존재하는 다양한 영역의 전문가들이 디지털위험을 관리하는 조직에 대해 높은 신뢰를 가질수록 관련 위험에 대한 관리가 효율적으로 이루어지고 있다고 인식하는 것으로 나타났다. 셋째, 디지털위험에 대한 위험지각은 위험관리 인식에 통계적으로 유의한 영향을 미치지 못하였다. 이런 결과에 비추어볼 때, 한국사회 내 새로운 위험으로 부각되고 있는 디지털위험을 효과적으로 통제, 예방하기 위해서는 사회 내에 신뢰를 높이고, 신뢰에 기반한 의사결정이 이루어져야 할 것이다.

식품 위해에 관한 서울지역 예비 초등교사들의 인식 수준 조사 (Prospective Elementary Teachers' Perception on Food Risk in Seoul)

  • 진대일;김정원
    • 한국식품조리과학회지
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    • 제25권6호
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    • pp.643-649
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    • 2009
  • The purpose of this study was to assess the prospective teachers' perception of food risk with the goal of providing the ways to improve their knowledge and perception of food risk. A self-administered questionnaire was developed and offered to 307 freshman and sophomore in an elementary teacher-cultivating university located in Seoul. The collected data were analyzed in terms of frequencies, cross tabulation analysis, t-test and ANONA with a deviation level of 5% using SPSS 15.0. The results of this research were as follows: 'Taste' was identified as an important factor for purchasing food (54.4%), and 'Manufacture date/expiration date' (67.0%) was checked first before food was purchased. The respondants viewed food additives (66.8%) followed by environmental contaminants (17.6%) as the most dangerous factors for food consumption. Even though they did not know the actual level of risk these factors posed to food, they still perceived them as dangerous. Most of them did not have any educational experiences on food risk, and if any, their sources of information were TV (46.6%) and the internet (19.5%). And, they did want to have information on food risk through TV, radio (41.1%) and the internet(16.4%). Based on the above results, the subjects who have great potential to influence children appeared not to have sound knowledge or a balanced perception of food risks. Therefore, systematic educational opportunities for prospective teachers should be provided to promote food risk communication.

햅틱 인지 요인 분석을 적용한 진동 촉감 인터페이스 설계 프로세스 제안 (Design Process Suggestion of Vibrotactile Interface applying Haptic Perception Factor Analysis)

  • 허용해;김승희
    • 한국인터넷방송통신학회논문지
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    • 제21권5호
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    • pp.79-87
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    • 2021
  • 본 연구에서는 인간의 촉감 메커니즘을 반영하여 햅틱 인지 요인을 적용할 수 있는 진동 촉감 인터페이스 설계 프로세스를 제안하였다. 본 프로세스는 총 4단계로 햅틱 감각의 요구사항 분석 단계, 햅틱 요소 분석 단계, 햅틱 인지 요인분석 단계, 햅틱 요구사항 상세 설계 및 시제품 구현 단계로 구성된다. 본 설계 프로세스의 장점은 햅틱 인지 요인 분석을 적용함으로써 사용자 요구사항 도출 및 구현 시 불필요한 작업들을 배제할 수 있으며, 가장 큰 특징은 인체공학적 특징을 설계에 반영할 수 있고, 사용자 평가와 사용성 테스트, 햅틱 기능 최적화 작업을 동시에 수행함으로써 시제품 개발이 완료됨과 동시에 햅틱 요구사항 명세서가 완료된다는 것이다. 본 설계 프로세스는 사용자의 요구사항에서부터 햅틱 기능 상세설계 및 시제품 구현에 대한 전체 단계를 포함하고 있어 햅틱에 대한 전문 지식이 부족한 일반 개발자들도 사용자 중심의 설계가 가능하여 일정 수준 이상의 햅틱 기능 설계 및 구현을 가능케 할 것으로 기대된다.

디지털 미디어 환경에서 사용자 환경 모드에 따른 색채 인지 특성 연구 (A Study on the Characteristics of Colour Perception According to Light and Dark Mode in the Digital Media Environment)

  • 홍지영
    • 한국인터넷방송통신학회논문지
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    • 제23권3호
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    • pp.65-70
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    • 2023
  • 디지털 미디어 환경은 디지털 매체를 다각화시키면서 사용자 중심의 다양한 형태로 접근하고 있다. 디지털 기술의 발전에 의해 디지털 미디어 환경은 광대한 네트워크 정보망을 형성하고 보다 인터렉티브한 커뮤니케이션을 지원함으로써 이와 관련 사용자 중심의 기초 연구가 필요하다. 디지털 미디어 환경을 대표할 수 있는 모바일 디스플레이는 휴대성이 높은 장점을 갖고 있지만 소형화와 전력절감을 위해 얇은 디스플레이 패널과 저성능 이미지 센서를 채택하는 등 대형 디스플레이에 비해 색상 표현력이 떨어질 수밖에 없다. 본 연구에서는 대표적 디지털 융합 매체인 모바일 디스플레이를 구체적 연구대상으로 사용자 중심의 다크 모드와 라이트 모드에서 시감적 색채 인지특성에 대해 알아보고자 한다. 시감적 색채 인지 특성을 알아보고자 KS 12가지 색채를 기반으로 색채 속성을 각각 제어하여 정신물리학 실험을 진행하고 이를 분석하였다. 본 연구에서는 진행된 실험 결과를 분석하여 다크 모드와 라이트 모드에서 색채 인지에 차이가 있는지 알아보고 색채 인지 특성에 대한 기초 연구 자료로써 유의미 여부를 정의한 후 향후 연구방향을 제시한다.

A Study on the Perception of Corona19 Period Play Culture Based on Big Data Analysis

  • Jung, Seon-Jin
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권4호
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    • pp.196-203
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    • 2020
  • In this study, we tried to explore the actual direction for the play culture by looking at the social perception of the change of play culture due to the Corona 19 using big data analysis. For this research, we used Textom, a website specializing in collecting big data, and collected 10,216 data using keywords of "Corona + Play," "Play Culture" and "Leisure" from January 19, 2020 to September 30, 2020, when the first confirmed case of Corona 19 occurred in Korea on various portal sites at home and abroad. The results of this paper showed that the social perception of the play culture in Corona 19 was 51.61%, not much different from the negative image of 48.15%. It is necessary to develop a play culture program that can identify people's various desires and emotions under the premise that situations similar to the current With Corona period and Corona19 can occur at any time, and find mental and physical stability and vitality in unstable situations. In addition, the results of this study can be used as basic data for the development of play culture policies or programs, with the significance that this study helped vitalize big data utilization research in the fields of play, leisure, and culture.

Optimal Image Quality Assessment based on Distortion Classification and Color Perception

  • Lee, Jee-Yong;Kim, Young-Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.257-271
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    • 2016
  • The Structural SIMilarity (SSIM) index is one of the most widely-used methods for perceptual image quality assessment (IQA). It is based on the principle that the human visual system (HVS) is sensitive to the overall structure of an image. However, it has been reported that indices predicted by SSIM tend to be biased depending on the type of distortion, which increases the deviation from the main regression curve. Consequently, SSIM can result in serious performance degradation. In this study, we investigate the aforementioned phenomenon from a new perspective and review a constant that plays a big role within the SSIM metric but has been overlooked thus far. Through an experimental study on the influence of this constant in evaluating images with SSIM, we are able to propose a new solution that resolves this issue. In the proposed IQA method, we first design a system to classify different types of distortion, and then match an optimal constant to each type. In addition, we supplement the proposed method by adding color perception-based structural information. For a comprehensive assessment, we compare the proposed method with 15 existing IQA methods. The experimental results show that the proposed method is more consistent with the HVS than the other methods.

Manhole Cover Detection from Natural Scene Based on Imaging Environment Perception

  • Liu, Haoting;Yan, Beibei;Wang, Wei;Li, Xin;Guo, Zhenhui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권10호
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    • pp.5095-5111
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    • 2019
  • A multi-rotor Unmanned Aerial Vehicle (UAV) system is developed to solve the manhole cover detection problem for the infrastructure maintenance in the suburbs of big city. The visible light sensor is employed to collect the ground image data and a series of image processing and machine learning methods are used to detect the manhole cover. First, the image enhancement technique is employed to improve the imaging effect of visible light camera. An imaging environment perception method is used to increase the computation robustness: the blind Image Quality Evaluation Metrics (IQEMs) are used to percept the imaging environment and select the images which have a high imaging definition for the following computation. Because of its excellent processing effect the adaptive Multiple Scale Retinex (MSR) is used to enhance the imaging quality. Second, the Single Shot multi-box Detector (SSD) method is utilized to identify the manhole cover for its stable processing effect. Third, the spatial coordinate of manhole cover is also estimated from the ground image. The practical applications have verified the outdoor environment adaptability of proposed algorithm and the target detection correctness of proposed system. The detection accuracy can reach 99% and the positioning accuracy is about 0.7 meters.

TV화면 대형화에 따른 문자그래픽 표현 연구 -시각인지도 분석 기반- (A Research of Character Graphic Design on Larger Television Screens -Based on Analysis of its Visual Perception-)

  • 이국세;문남미
    • 한국인터넷방송통신학회논문지
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    • 제9권4호
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    • pp.129-138
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    • 2009
  • TV방송에서의 문자그래픽(방송자막)은 영상정보에 대한 시청자의 이해를 돕고 프로그램의 가치를 높여주는 영상구성 요소로써의 역할이 확대되고 있다. 본 논문은 TV화면의 대형화와 영상의 고품질화에 적합한 글자 표현을 위해 방송문자의 글꼴, 크기, 색상, 이동속도 등 문자의 속성에 변화가 필요한 점을 찾고 그 개선 방법에 관한 연구이다. 논문에서는 이론적 고찰과 함께 전문가 그룹을 대상으로 한 델파이조사를 기반으로 TV화면의 분자가 지닌 제 특성요소와 시각적 인지도가 어떤 연관을 가지고 있는지를 고찰하고 OSMU(One Source Multi Use) 환경에서의 각 매체별 특성을 고려한 개선안을 제안한다.

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A Study on the Consumer Perception and Keyword Analysis of Meal-kit Using Big Data

  • Jung, Sunmi;Ryu, Gihwan;Lim, Jeongsook;Kim, Heeyoung
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.206-211
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    • 2022
  • As the level of consumption is improved and cultural life is pursued, the consumer's consciousness structure is rapidly changing, and the demand for product selection level, variety, and quality is becoming more diverse. The restaurant economy is falling due to the prolonged COVID-19, the economic recession, income decline, and changes in population structure and lifestyle, but the Meal- kit market is growing rapidly. This study aims to identify the consumer perception of Meal-kit, which is rapidly growing as an alternative to existing meals in the fields of dining out, food, and distribution due to the development of technology and social environment using big data. As a result of the analysis, the keywords with the highest frequency of appearance were in the order of Meal-kit, Cooking, Product, Launching, and Market and were divided into 8 groups through the CONCOR analysis. We want to identify consumer trends related to the key keywords of Meal-kit, present effective data related to Meal-kit demand for Meal-kit specialized companies, and provide implications for establishing marketing strategies for differentiated competitive advantage.

A study on Metaverse Consumer perception survey before and after Covid-19 using CONCOR analysis on BIG Data

  • Min, Byun Kwang;Hwan, Ryu Gi
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권4호
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    • pp.36-40
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    • 2022
  • Many parts of life have been changed due to the unprecedented coronavirus outbreak, and Noncontact has now become a general culture of society around the world. Also, many years later, after the Fourth Industrial Revolution, it is now deeply embedded in the human lifestyle. The purpose of this paper's research is to investigate the metaverse perception before and after Corona. It was confirmed that the number of metaverse, the central keyword, was 70971 before Corona, but 261767 after Corona, which was more than three times the frequency. In addition, it was confirmed that the number of COVID-19, the reference point of this study, increased significantly to 1,9236 during the pre-COVID-19 period. Through this, it can be inferred that the metaverse accelerated and developed significantly after the corona. Metaverse about Keywords such as cryptocurrency, cryptocurrency, coin, and exchange appeared before Corona, and the word frequency ranking for blockchain, which is an underlying technology, was high, but after Corona, the word frequency ranking fell significantly as mentioned above. As such, it was confirmed that keywords for metaverse were changing before and after Corona, and as such, Consumers' perceptions were also changing.