• Title/Summary/Keyword: 세대 인식

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Characteristics of Images in Image-based SNS and User Satisfaction - Focusing on Instagram and Pinterest - (이미지 기반 SNS에 나타난 이미지의 속성과 사용자 만족 인스타그램과 핀터레스트를 중심으로)

  • Yoon, Jisun;Ryoo, Han Young
    • Journal of the HCI Society of Korea
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    • v.14 no.1
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    • pp.5-13
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    • 2019
  • SNS has been advanced from first to third generation by changing its service format in various ways. Nowadays, image-based SNS such as instagram and pinterest where users communicate via images has become popular as third generation service. Due to the fact that users communicate especially through images, image-based SNS utilizes images in different ways compared to other SNS. This study derived various characteristics of images in image-based SNS, and observed how users perceive each of them differently. Also, relationship between the characteristics and user satisfaction on image-based SNS is analyzed. The characteristics include 6 items; 'implicity', 'recordability', 'expressing identity', 'indirect experience', 'temporary amusement', and 'stimulating desire.' As a result of comparing user perception regarding those 6 characteristics, recordability and indirect experience were highly recognized than other characteristics. Also, according to users' age, motivation of using image-based SNS, and number of followers they have, users perceived each characteristic in different level. Finally, relationship between the characteristics and user satisfaction was analyzed, and the result showed that indirect experience had positive influence to user satisfaction. Regarding indirect experience, it was highly perceived by users and also had positive influence to their satisfaction, which means it is the most typical characteristic of image-based SNS.

Development of Open Set Recognition-based Multiple Damage Recognition Model for Bridge Structure Damage Detection (교량 구조물 손상탐지를 위한 Open Set Recognition 기반 다중손상 인식 모델 개발)

  • Kim, Young-Nam;Cho, Jun-Sang;Kim, Jun-Kyeong;Kim, Moon-Hyun;Kim, Jin-Pyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.117-126
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    • 2022
  • Currently, the number of bridge structures in Korea is continuously increasing and enlarged, and the number of old bridges that have been in service for more than 30 years is also steadily increasing. Bridge aging is being treated as a serious social problem not only in Korea but also around the world, and the existing manpower-centered inspection method is revealing its limitations. Recently, various bridge damage detection studies using deep learning-based image processing algorithms have been conducted, but due to the limitations of the bridge damage data set, most of the bridge damage detection studies are mainly limited to one type of crack, which is also based on a close set classification model. As a detection method, when applied to an actual bridge image, a serious misrecognition problem may occur due to input images of an unknown class such as a background or other objects. In this study, five types of bridge damage including crack were defined and a data set was built, trained as a deep learning model, and an open set recognition-based bridge multiple damage recognition model applied with OpenMax algorithm was constructed. And after performing classification and recognition performance evaluation on the open set including untrained images, the results were analyzed.

An Exploratory Study on the Possibility of Using Next-Generation Technology in Long-term Care Facilities : Focusing on the Perception of the Workforce of in Long-term Care Facilities (노인장기요양시설의 차세대 기술 활용가능성에 대한 탐색적 연구 : 노인장기요양시설 인력의 인식을 중심으로 -)

  • Lee, Sun Hyung;Lim, Choon Hee;Kim, Weon Cheon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.191-205
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    • 2020
  • This study examined the possibility of utilizing next-generation technology, such as Virtual Reality or AI robots, in the long-term care facilities for the elderly. For the study, the Focus Group Interview was conducted in three different groups of 14 participants (care workers, social workers, and directors of long-term care facilities for the elderly). The analysis revealed a total of three topics, eight categories, and 26 sub-categories. The main results of the study showed that the use of next-generation technology could assist the psychological and emotional stability, provide curiosity and interest, and relieve the desire for physical activity for the elderly. In addition, for long-term care services staff, it could provide useful services for the elderly with physical constraints, facilitate effective management of the elderly roaming around, and enhance emotional support services. Finally, it could also help directors of long-term care facilities promote their services, educate staff, and keep up with current trends. Participants expressed concerns about the introduction of new technologies, but they generally expected that the application of next-generation technology would be positive for the elderly as well as for care workers and directors of long-term care facilities. Therefore, the use of next-generation technology in long-term care facilities for the elderly will also help develop gerontechnology.

Syllabic Speech Rate Control for Improving Elderly Speech Recognition of Smart Devices (음절 별 발화속도 조절을 통한 노인 음석인식 개선)

  • Kyeong, Ju Won;Son, Gui Young;Kwon, Soonil
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1711-1714
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    • 2015
  • 스마트 디바이스가 사회와 소통할 수 있는 도구가 되었음에도 불구하고 아직까지 노인들이 사용하기에는 어려움이 있다. 여기에 음성인식 기술을 이용한 음성인터페이스를 활용함으로써 노인들의 스마트 디바이스에 대한 사용성을 높일 수 있다. 하지만 일반적인 음성인식 시스템은 청장년의 발성 스타일에 맞춰져 있기 때문에, 노화된 노인의 발성이 그대로 입력될 경우 음성인식률이 하락한다. 본 연구에서는 노인의 음절 별 발화속도가 일반적인 음성인식 시스템의 성능을 보증할 수 있는 범위를 벗어나는 경우가 많다는 분석 결과를 토대로 노인의 음절 별 발화속도를 조정한 결과 노인남녀 평균 음성인식률이 15.3% 상승하였다. 이처럼 노인의 음성인식 오류 원인들 중 하나인 발화속도의 재조정으로 음성 인식률을 높일 수 있는 토대를 마련하였다. 이는 노인들이 스마트 디바이스를 이용하여 쉽고 정확한 작업을 수행할 수 있게 됨으로써, 노인들의 사회 참여와 정보 획득이 용이해 지고 더 나아가 세대 간의 소통에도 이바지할 것으로 기대한다.

Expectations for Social Security and Perception of Life in Old Age in a Superaged Society : An Analysis of the Differences Between Age Groups in J apan (초고령사회 일본의 사회보장에 대한 기대인식과 노후 생활 인식 - 연령계층별 차이에 주목하여 -)

  • Lee, Sujin
    • Journal of Family Resource Management and Policy Review
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    • v.27 no.3
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    • pp.39-52
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    • 2023
  • In this study, based on survey data from Japan, I analyzed the differences between the expectations for social security and the perception of life in old age by age group. The analysis data used in this study are from the "Survey on Life Security, 2019" conducted by the Japan Life Insurance Cultural Center, which surveyed men and women aged 18 to 69. The results of the analysis are as follows. First, expectations about health insurance are higher than expectations about other forms of social security in all age groups. Second, when it comes to expectations for public pensions, both men and women have the highest average scores in their 60s. Third, the age group with the lowest average score for public health insurance, public pension, public care insurance, and survivors' pension was found to be those in their 40s. In addition, men in their 20s had a higher average score on their perception of life in old age. Fourth, the effect of social security expectations on perception of life in old age was found to be somewhat different for gender and age groups, but overall, it was found that public health insurance expectations were an important factor that had a positive impact on the perception of life in old age.

A Study for Vitalization of Educational Serious Game Competition (교육 기능성게임대회 활성화방안 연구)

  • Choi, Hun;Baek, Yejin;Seo, Dongjo
    • Proceedings of the Korea Contents Association Conference
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    • 2012.05a
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    • pp.305-306
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    • 2012
  • 미디어 플랫폼의 다양화로 인하여 다양한 교육방법이 시도되고 있으며, 특히 교육용기능성게임은 G-learning 베이스로 새로운 교육방법으로 제시되고 있다. 하지만 "게임"이라는 부정적 인식으로 인하여 저변확대가 이루어지고 있지 않다. 게임을 즐기고 자라난 게임세대들에 대한 인식전환과 교육용 기능성게임에 대한 교육적 효과검증을 통하여 교육용 기능성게임을 새로운 교육방법으로 활용하기 위하여는 사회적 인식전환과 저변확대가 우선순위이다. 이를 위하여는 일반인들에게 교육용기능성게임을 알릴 수 있는 대회를 활성화하여 인식의 전환과 효과를 직접 체험할 수 있도록 해야한다. 이를 위하여 국내외 교육용 기능성게임대를 분석하고 활성화 방안을 모색하여 새로운 교육패러다임전환에 기여할 수 있는 방안을 제시하고자 한다. 이는 향후 국내 교육용 기능성게임 유저를 확산시켜줄 뿐만 아니라, 새로운 교육적 방법으로 활용할 수 있는 계기를 제시할 것으로 보인다.

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Analysis of Effectiveness based on Variety Platforms in Biometrics (생체인증에서 다양한 플랫폼 기반의 효용성 분석)

  • Kim, Kyung-Sil;Lee, Keun-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.828-830
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    • 2013
  • 과거의 오프라인에서만 이루어 졌던 생활이 온라인에서의 활동으로 발전함으로 인해 온라인상에서 사용자가 올바른 사용자인지의 여부는 중요한 문제이다. 온라인상이나 나아가 일반 생활에서도 사용자 인증을 보다 정확하게 하기 위하여 생체인식 기술을 도입하였다. 생체인식 기술은 개인의 고유한 특징을 이용하여 인증을 수행하는 방법으로 비밀번호를 대체하는 차세대 인증 기술로 각광받고 있다. 인간의 고유한 특징의 종류는 매우 다양하며 이러한 특징을 추출하는 생체인식 기술도 다양한 센서와 알고리즘을 이용하여 이루어진다. 이러한 다양한 생체인식 기술들을 구분하고 다양한 플랫폼에 적용하였을 경우 어떤 효용성이 있는지 분석하고자 한다.

The image of Elderly perceived by age of 4 and 5 years (만 4·5세 유아가 인식한 노인 이미지 연구)

  • Nam, Ki Won
    • The Journal of the Convergence on Culture Technology
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    • v.2 no.2
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    • pp.1-8
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    • 2016
  • This study was designed to analyze the perceptions of 4 and 5 years old children on the elderly, and how different the perceptions were according to the experience of living with grandparents. The subjects of the study were 54 children, 4 and 5 years old K kindergarten in H city. In the procedure of study, the children were asked to draw pictures of the elderly images, and individual interviews. The findings as follows. firstly, that the most positive perception of the children on the elderly was family-relationship and the most negative perception was physical feature. Secondly, Images for the elderly did not differ according to the experience of living with a grandparent. Based on these results, this study provides the basis for the research on understanding culture and communication between generations and gives useful information on developing of a generation program.

TSSN: A Deep Learning Architecture for Rainfall Depth Recognition from Surveillance Videos (TSSN: 감시 영상의 강우량 인식을 위한 심층 신경망 구조)

  • Li, Zhun;Hyeon, Jonghwan;Choi, Ho-Jin
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.6
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    • pp.87-97
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    • 2018
  • Rainfall depth is an important meteorological information. Generally, high spatial resolution rainfall data such as road-level rainfall data are more beneficial. However, it is expensive to set up sufficient Automatic Weather Systems to get the road-level rainfall data. In this paper, we proposed to use deep learning to recognize rainfall depth from road surveillance videos. To achieve this goal, we collected two new video datasets, and proposed a new deep learning architecture named Temporal and Spatial Segment Networks (TSSN) for rainfall depth recognition. Under TSSN, the experimental results show that the combination of the video frame and the differential frame is a superior solution for the rainfall depth recognition. Also, the proposed TSSN architecture outperforms other architectures implemented in this paper.

Understanding MZ Generation's Perceptions and Preferences for Eco-Friendly Consumption and Upcycled Souvenirs

  • Cheon Yu;Su-Joung Cha
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.4
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    • pp.151-163
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    • 2023
  • This study aims to explore the perceptions of MZ's on eco-friendly consumption and their preferences for eco-friendly souvenirs. The top reasons for buying upcycling products include design, price, differentiation, and environmentalism, with design having the most influence on product purchase. Design is also a top consideration when buying upcycling souvenirs. Regarding environmental issues, they were most aware of the seriousness of environmental pollution and thought that recycling of fashion products was necessary. When it comes to eco-friendly fashion purchasing behaviors, the most common choice is to buy clothes that will last longer than those that are in fashion. Upcycling products are more likely to be purchased when there is a concern for the environment or an interest in eco-friendly products. In addition, those who have purchased upcycling products are more likely to be aware of and interested in eco-friendly fashion products and recycling of fashion products. Women are more likely than men to be concerned about environmental issues, and women are also more likely to be aware of upcycling souvenirs. In future research, it would be useful to study the relationship between upcycling products, environmental issues, consumer behavior, and upcycling souvenirs.