• Title/Summary/Keyword: Affect recognition

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The Influence of Aesthetic Elements on Consumer Responses of Symbol Design (심볼디자인의 소비자 반응에 대한 심미적 영향요소 연구)

  • 김은주;양종열;홍찬석;강민수
    • Archives of design research
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    • v.13 no.3
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    • pp.7-16
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    • 2000
  • Aesthetics undertakes important roll in design as a competitive factor. The importance of aesthetics can be found in experimental aesthetics, Gestalt psychology and design related literatures. These literatures suggest that, besides the importance of aesthetics, many other aesthetic factors would affect consumer reaction(recognition, emotional reaction, meaning), but the study is still in insufficient condition. Hense, this study tries to give a guideline -'how to design symbols'based on the apprehension of what kind of design is well recognized(correct recognition), gives positive emotional reaction(affect) to customers, and moreover, what sort of aesthetic factors affect these reactions by analyzing existing symbol designs.

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New Finger-vein Recognition Method Based on Image Quality Assessment

  • Nguyen, Dat Tien;Park, Young Ho;Shin, Kwang Yong;Park, Kang Ryoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.2
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    • pp.347-365
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    • 2013
  • The performance of finger-vein recognition methods is limited by camera optical defocusing, the light-scattering effect of skin, and individual variations in the skin depth, density, and thickness of vascular patterns. Consequently, all of these factors may affect the image quality, but few studies have conducted quality assessments of finger-vein images. Therefore, we developed a new finger-vein recognition method based on image quality assessment. This research is novel compared with previous methods in four respects. First, the vertical cross-sectional profiles are extracted to detect the approximate positions of vein regions in a given finger-vein image. Second, the accurate positions of the vein regions are detected by checking the depth of the vein's profile using various depth thresholds. Third, the quality of the finger-vein image is measured by using the number of detected vein points in relation to the depth thresholds, which allows individual variations of vein density to be considered for quality assessment. Fourth, by assessing the quality of input finger-vein images, inferior-quality images are not used for recognition, thereby enhancing the accuracy of finger-vein recognition. Experiments confirmed that the performance of finger-vein recognition systems that incorporated the proposed quality assessment method was superior to that of previous methods.

Incomplete Cholesky Decomposition based Kernel Cross Modal Factor Analysis for Audiovisual Continuous Dimensional Emotion Recognition

  • Li, Xia;Lu, Guanming;Yan, Jingjie;Li, Haibo;Zhang, Zhengyan;Sun, Ning;Xie, Shipeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.810-831
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    • 2019
  • Recently, continuous dimensional emotion recognition from audiovisual clues has attracted increasing attention in both theory and in practice. The large amount of data involved in the recognition processing decreases the efficiency of most bimodal information fusion algorithms. A novel algorithm, namely the incomplete Cholesky decomposition based kernel cross factor analysis (ICDKCFA), is presented and employed for continuous dimensional audiovisual emotion recognition, in this paper. After the ICDKCFA feature transformation, two basic fusion strategies, namely feature-level fusion and decision-level fusion, are explored to combine the transformed visual and audio features for emotion recognition. Finally, extensive experiments are conducted to evaluate the ICDKCFA approach on the AVEC 2016 Multimodal Affect Recognition Sub-Challenge dataset. The experimental results show that the ICDKCFA method has a higher speed than the original kernel cross factor analysis with the comparable performance. Moreover, the ICDKCFA method achieves a better performance than other common information fusion methods, such as the Canonical correlation analysis, kernel canonical correlation analysis and cross-modal factor analysis based fusion methods.

A Study on the Effects of Users' Use Patterns and Their Recognition of Service Benefits on the Value Assessments of University Library Services (이용자의 이용행태 및 혜택에 대한 인식이 대학도서관 서비스의 가치 평가에 미치는 영향)

  • Ko, Young-Man;Pyo, Soon-Hee;Shim, Wonsik;Hwang, Uk;Chung, Hye-Kyung
    • Journal of the Korean Society for Library and Information Science
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    • v.48 no.1
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    • pp.329-343
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    • 2014
  • This research investigated the effects of university library users' use patterns and their recognition of service benefits on the magnitude of service value assessments derived from users' statements using contingent valuation method (CVM). Library users' use patterns were operationalized by the number of library visits, library website visit counts and the degree of dependence on their own libraries. User benefits variables were measured by the level of satisfaction on the benefits of library use for teaching & instruction, research & writings, and employment & external activities. University library services were divided into circulation, journal articles (domestic & foreign), reference service, user education, reading room service and WTPs for each service were measured. The results from hypotheses testing show that the number of library visits affect WTP amounts for circulation, foreign article use, reference service and user education. The degree of library dependence seems to affect WTP amounts for circulation and user education. With regards to the hypotheses related to the recognition of library service benefits, the degree of satisfaction for teaching & instruction benefits seems to affect WTP amounts for reading room use.

A Review Study on Recognition of Teachers for Information System of School Library (학교도서관의 정보시스템에 관한 교사들의 인식도 조사 연구)

  • 유양근
    • Journal of Korean Library and Information Science Society
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    • v.34 no.2
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    • pp.19-42
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    • 2003
  • The purpose of this study is to identify the way of development of school library and construction of information system for school library. In order to identify the way, the school librarian recognition level of school library information system was analyzed, since the recognition level about the information system can affect the school library development. Data is collected through the questionnaire. The result can be used to develope a school library instruction program for teachers and a base material for recovering the school library fundamental function.

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The Effect of Satisfaction and Safety Recognition of the Pedestrian Environment on the Subjective Health Status: Focused on gender difference of the intermediating effect of social capital (보행환경 만족과 안전인식이 주관적 건강인식에 미치는 영향 - 사회적 자본의 매개효과에 대한 집단비교를 중심으로 -)

  • Jung, Suyoung
    • Journal of the Korean Regional Science Association
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    • v.36 no.2
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    • pp.25-36
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    • 2020
  • In recent urban policies, the importance of 'health' has increased significantly. In Korea, the deterioration of physical health due to environmental problems caused by rapid urbanization and the deterioration of mental health due to the disconnection of social relations in a competitive society are constantly occurring. this study aims to examine the effect of the satisfaction and safety recognition on pedestrian environment on the subjective health status focused on gender difference of the intermediating effect of social capital. I used 2018 Seoul Survey and employed Structural Equation Model multi-group analysis. According to the empirical analysis, in male groups, the satisfaction and safety recognition on the pedestrian environment affect social capital. Also, satisfaction and social capital affect subjective health status. On the other hand, in female group, perception of pedestrian environment affect social capital. In addition, satisfaction, safety recognition and social capital affect subjective health status. Therefore, interdisciplinary study in the field of health and urban policy and discriminatory policy for strategic urban policy for citizen's health is necessary.

The Effect of Marketing Activities on the Brand Recognition, Brand Familiarity, and Purchase Intention on the SNS of Franchise Companies

  • CHUN, Tae Yoo;LEE, Dong Keol;PARK, No Hyun
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.11
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    • pp.955-966
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    • 2020
  • The purpose of this study is to find out how SNS marketing activities affect brand recognition, brand familiarity, and purchase intention for consumers who have purchased products from franchise chicken stores, including whether there is a moderating effect according to gender. SNS marketing activities were set up by configuring three attributes which are, SNS advertising, SNS information, and SNS events as sub-factors. For empirical analysis, a survey was conducted on SNS users, and SPSS/AMOS statistical programs were employed for the data analysis. First, the result of the empirical analysis showed that SNS advertising, SNS information, and SNS events have a significant positive effect on brand recognition. Second, it was found that the SNS events had a significant positive effect on brand familiarity. Third, it was found that SNS advertising has a significant positive effect on purchase intention. Fourth, it was observed that brand recognition has a significant positive effect on brand familiarity. Fifth, it was found that brand recognition and brand familiarity have a significant positive effect on purchase intention. Sixth, it was found that gender plays a significant role in the relationship between these constructs. Therefore, it can be assumed that the hypothesis presented in this study is sufficiently proven.

Analysis on the Importance of Beautiful Place Images Recognition Using AHP (AHP를 활용한 아름다운 장소 이미지의 중요도 인식 분석)

  • Lee, Lim-Jung;Cho, Chi-Woung;Noh, Kyung-Ran
    • Journal of the Korean Institute of Rural Architecture
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    • v.24 no.2
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    • pp.1-11
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    • 2022
  • Purpose: The purpose of this study is to analyze image factors of places located in natural and humanistically superior geographical locations. It aims to analyze image recognition and spatiality of scenically historical Sahmyook University, located northeast of Gangneung, through standardization. Method: The analysis method of landscape is composed of data investigation and research, and elements of how students, faculty, and visitors recognize a place's beautiful image will be examined. Result: A phenomenological approach was applied to how the images of beautiful place were set by FGI group meeting, and how such factors affect beautiful place's perception from the user's point of view. When looking at comprehensive ranking of image factors in recognition of beautiful landscapes, factors corresponding to forest landscapes appear at the top rank. In determining factors for its recognition, shared space with natural elements such as water, trees, flowers, etc. has been analyzed to have the biggest influence. Among factors corresponding to urban landscape, 'streets and pedestrian paths' is of medium importance and are recognized for it is artificial structure coexisting with natural elements shared with humans. The image corresponding to 'city area' and 'architecture' was analyzed to have insignificant influence on beautiful places' image recognition for artificial element was prioritized.

Facial Emotion Recognition in Older Adults With Cognitive Complaints

  • YongSoo Shim
    • Dementia and Neurocognitive Disorders
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    • v.22 no.4
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    • pp.158-168
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    • 2023
  • Background and Purpose: Facial emotion recognition deficits impact the daily life, particularly of Alzheimer's disease patients. We aimed to assess these deficits in the following three groups: subjective cognitive decline (SCD), mild cognitive impairment (MCI), and mild Alzheimer's dementia (AD). Additionally, we explored the associations between facial emotion recognition and cognitive performance. Methods: We used the Korean version of the Florida Facial Affect Battery (K-FAB) in 72 SCD, 76 MCI, and 76 mild AD subjects. The comparison was conducted using the analysis of covariance (ANCOVA), with adjustments being made for age and sex. The Mini-Mental State Examination (MMSE) was utilized to gauge the overall cognitive status, while the Seoul Neuropsychological Screening Battery (SNSB) was employed to evaluate the performance in the following five cognitive domains: attention, language, visuospatial abilities, memory, and frontal executive functions. Results: The ANCOVA results showed significant differences in K-FAB subtests 3, 4, and 5 (p=0.001, p=0.003, and p=0.004, respectively), especially for anger and fearful emotions. Recognition of 'anger' in the FAB subtest 5 declined from SCD to MCI to mild AD. Correlations were observed with age and education, and after controlling for these factors, MMSE and frontal executive function were associated with FAB tests, particularly in the FAB subtest 5 (r=0.507, p<0.001 and r=-0.288, p=0.026, respectively). Conclusions: Emotion recognition deficits worsened from SCD to MCI to mild AD, especially for negative emotions. Complex tasks, such as matching, selection, and naming, showed greater deficits, with a connection to cognitive impairment, especially frontal executive dysfunction.

Represented by the Color Image Emotion Emotional Attributes of Size, Quantification Algorithm (이미지의 색채 감성속성을 이용한 대표감성크기 정량화 알고리즘)

  • Lee, Yean-Ran
    • Cartoon and Animation Studies
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    • s.39
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    • pp.393-412
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    • 2015
  • See and feel the emotion recognition is the image of a person variously changed according to the environment, personal disposition. Thus, the image recognition has been focused on the emotional sensibilities computer you want to control the number studies. However, existing emotional computing model is numbered and the objective is clearly insufficient measurement conditions. Thus, through quantifiable image Emotion Recognition and emotion computing, is a study of the situation requires an objective assessment scheme. In this paper, the sensitivity was represented by numbered sizes quantified according to the image recognition calculation emotion. So apply the principal attributes of the color image emotion recognition as a configuration parameter. In addition, in calculating the color sensitivity by applying a digital computing focused research. Image color emotion computing research approach is the color of emotion attribute, brightness, and saturation reflects the weighted according to importance to the emotional scores. And free-degree by applying the sensitivity point to the image sensitivity formula (X), the tone (Y-axis) is calculated as a number system. There pleasure degree (X-axis), the tension and position the position of the image point that the sensitivity of the emotional coordinate crossing (Y-axis). Image color coordinates by applying the core emotional effect of Russell (Core Affect) is based on the 16 main representatives emotion. Thus, the image recognition sensitivity and compares the number size. Depending on the magnitude of the sensitivity scores demonstrate this sensitivity must change. Compare the way the images are divided up the top five of emotion recognition emotion emotions associated with 16 representatives, and representatives analyzed the concentrated emotion sizes. Future studies are needed emotional computing method of calculation to be more similar sensibility and human emotion recognition.