• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.95-100
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• 2023

끊임없이 재생산되는 혐오 표현의 정확한 탐지를 위해서는 혐오란 무엇인가에 대한 본질적인 이해가 필요하다. 본 연구에서는 화용론에서 사용되는 적정성 조건이라는 분석 틀을 활용하여 모델이 '혐오하기' 화행을 어떻게 인식하고 있는지 평가하고자 했다. 혐오 화행의 적정성 조건을 명제 내용 조건, 예비 조건, 성실성 조건, 본질 조건으로 나누어 분석하였으며, 이를 진위형, 연결형, 단답형, 논술형 문항으로 구성했다. 그 결과 모든 문항 유형에서 50점이 넘는 점수를 받았으나 비교적 고차원인 사고 능력을 측정하는 단답형과 논술형 문항 유형의 점수가 가장 낮게 나타났다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.621-623
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• 2022

최근 코로나19로 인해 비대면으로 소통할 수 있는 플랫폼에 대한 관심이 증가하고 있으며, 가상 세계의 개념을 도입한 메타버스 플랫폼이 MZ세대의 새로운 SNS로 떠오르고 있다. 아바타를 통해 상호 교류가 가능한 메타버스는 텍스트 기반의 소통뿐만 아니라 음성과 동작 시선 등을 활용하여 변화된 의사소통 방식을 사용한다. 음성을 활용한 소통이 증가함에 따라 다른 이용자에게 불쾌감을 주는 혐오 발언에 대한 신고가 증가하고 있다. 그러나 기존 혐오 발언 탐지 시스템은 텍스트를 기반으로 하여 사전에 정의된 혐오 키워드만 특수문자로 대체하는 방식을 사용하기 때문에 음성 혐오 발언에 대해서는 탐지하지 못한다. 이에 본 논문에서는 인공지능을 활용한 음성 혐오 표현 탐지 시스템을 제안한다. 제안하는 시스템은 음성 데이터의 파형을 통해 은유적 혐오 표현과 혐오 발언에 대한 감정적 특징을 추출하고 음성 데이터를 텍스트 데이터로 변환하여 혐오 문장을 탐지한 결과와 결합한다. 향후, 제안하는 시스템의 현실적인 검증을 위해 시스템 구축을 통한 성능평가가 필요하다.

• Korean Journal of Culture and Social Issue
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• v.29 no.4
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• pp.537-567
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• 2023

This study compared the nature of disgust caused by the crime scene with that by the stereotype of the sexual-minority defendant, and compared the effect of each type of disgust on evidence evaluation and legal judgment. A total of 600 participants (300 men, average age of 44.40) were randomly assigned to sources of disgust (crime scene, sexual minorities defendant, control condition), the existence of additional evidence of innocence (o/x), and the existence of judicial directives (o/x). As a result of the study, disgust under the condition of a cruel crime scene with strong physical disgust was significantly higher than that of the sexual minority defendant, interpreted the evidence in a more guilty direction, and was more prone to_evaluate that the defendant was guilty. It is noteworthy that evidence evaluation was a significant moderating variable between disgust and probability of guilt under conditions where the source of disgust was a sexual minority, but not under control conditions and crime scene condition. It means that the effect of disgust on legal judgment may not be direct when the defendant is a sexual minority. In addition, the existence of the judicial instruction had a significant inverse effect on the sentence. And simple effect analysis found that presenting judicial instruction lowered probability of guilt only under the control condition. This makes it reasonable to infer that disgust derived from the characteristics of the crime scene and the defendant can be recognized as integral emotions that are difficult to correct with instructions. Finally, pity for the defendant was significantly higher under the conditions of sexual minority which shows that an emotional response of sympathy may occur in addition to disgust for sexual minorities. After examining the nature of disgust (physical & moral), legal judgment according to the source and degree of disgust was reviewed. In addition, the meaning of disgust and sympathy for the sexual minority defendant was discussed.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.11a
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• pp.179-181
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• 2001

색채에 대한 인간 감성 반응도를 비교 선정을 통해 규명하였다. 원, 정사각형 및 정삼각형을 기본도형으로 하고 여섯 가지 비례를 바탕으로 색채를 대입한 감성 반응 시각제시물을 제작하여 색체에 대한 인간 감성을 측정 평가하였다. 색채는 먼셀 기본 5 색인 적(R), 황(Y), 녹(G), 청(B), 자(P)와 무채색의 검정색을 사용하였다. 피검자군은 대학생남녀 각 50명 합계 100명이다. 실험을 위해 별도의 시각제시물을 제작하였으며, 시각잡음이 제거된 별도의 실험공간이 제공되었다. 시각물과 피검자의 거리는 피검자 스스로 가장 편한 거리로 맞추도록 조정케 하였다. 도형 및 비례 별로 제작된 9개의 제시물 각각에 대한 피검자의 선호 및 혐오를 5점 척도로 측정하였다. 이 측정에서 감성정도와 함께 자신이 선호하고 혐오하는 대상을 선정케 된다. 실험 결과를 통해 감성 반응도, 선호 및 혐오 색채와 그 정도를 추출하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1595-1603
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• 2020

Online defamation incidents such as Internet news comments on portal sites, SNS, and community sites are increasing in recent years. Bias and hate expressions threaten online service users in various forms, such as invasion of privacy and personal attacks, and defamation issues. In the past few years, academia and industry have been approaching in various ways to solve this problem The purpose of this study is to build a dataset and experiment with deep learning classification modeling for detecting various bias expressions as well as hate expressions. The dataset was annotated 7 labels that 10 personnel cross-checked. In this study, each of the 7 classes in a dataset of about 137,111 Korean internet news comments is binary classified and analyzed through deep learning techniques. The Proposed technique used in this study is multi-channel CNN model with attention. As a result of the experiment, the weighted average f1 score was 70.32% of performance.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.1
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• pp.59-66
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• 1998

According to grow interest in environmental quality with improvements of a standard of living site selection problems of environmental hatred facilities, such as waste landfill sites caused regional conflicts. This study investigates a waste landfill estimation method that was used to storage, management, analysis and display of environmental information provided by goo-spatial information system(GSIS) analytic hierarchy process(AHP) as a decision-making method. If GSIS is integrated with AHP, site selection problems of environmental hatred facilities shall be able to very useful, because of AHP with flexibility which appropriately reflect opinions of the related group.

• Communications of Mathematical Education
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• v.8
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• pp.151-164
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• 1999

우리의 경우 학교수학에서 문제해결이 강조된지도 20여년이 넘었으나 아직도 수학을 혐오하는 학생들이 적지 않은 것 같다. 이러한 우리의 수학교육의 문제점은 여러 가지 측면에서 접근할 수 있으나 본 연구에서는 문제해결의 관점에서 접근하고자 한다. 먼저 수학학습평가와 사회에서의 평가를 문제해결의 관점에서 비교하고, 또 수학과 교육과정과 교과서의 구성내용과 체제를 문제해결의 관점에서 구체적인 예제를 통하여 조사한다. 나아가 최근의 구성주의의 관점에서 수학수업에서 계산기의 도입 가능성을 살펴본다.

• Journal of the Korean Institute of Landscape Architecture
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• v.44 no.6
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• pp.137-147
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• 2016

The purpose of this study was to analyze the perception factors of a pedestrian environment that affect pedestrian environment satisfaction(PES) and determine the relationship between PES and the expected effects of health promotion. The targeted areas of study are neighborhood parks in Suseong-gu, Daegu city. First, regarding the results for the evaluation of pedestrian environment perception, 'Gentle slope' was rated the highest, while factors regarding pedestrian safety such as 'Lots of unpleasant elements', 'Risk from biking and motorcycling' and 'Many obstacles on sidewalks' were rated low. A stepwise regression analysis showed that factors such as 'Fresh air', 'Beautiful scenery', 'Continuity of the sidewalks', 'Various attractions', 'The shade of trees' and 'Lots of unpleasant elements' influenced the PES. Therefore, creating fresh air and shade trees by planting trees and removing unpleasant elements from pedestrian areas are important. Also, it is necessary to cultivate beautiful scenery and attractions through street improvement and improve the continuity of the sidewalks. Finally, in terms of path analysis, PES influenced the frequency of park use, the expected effects of physical and mental health promotion both directly and indirectly.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.687-692
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• 2023

We analyze the accuracy of emotion analysis of natural language processing deep learning model and propose to use it for emotional content development. After looking at the outline of the GPT-3 model, about 6,000 pieces of dialogue data provided by Aihub were input to 9 emotion categories: 'joy', 'sadness', 'fear', 'anger', 'disgust', and 'surprise'. ', 'interest', 'boredom', and 'pain'. Performance evaluation was conducted using the evaluation indices of accuracy, precision, recall, and F1-score, which are evaluation methods for natural language processing models. As a result of the emotion analysis, the accuracy was over 91%, and in the case of precision, 'fear' and 'pain' showed low values. In the case of reproducibility, a low value was shown in negative emotions, and in the case of 'disgust' in particular, an error appeared due to the lack of data. In the case of previous studies, emotion analysis was mainly used only for polarity analysis divided into positive, negative, and neutral, and there was a limitation in that it was used only in the feedback stage due to its nature. We expand emotion analysis into 9 categories and suggest its use in the development of emotional content considering it from the planning stage. It is expected that more accurate results can be obtained if emotion analysis is performed by additionally collecting more diverse daily conversations through follow-up research.

• 한국노년학
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• v.41 no.4
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• pp.505-525
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• 2021

Purpose. The purpose of this study is to examine how the phrase "old person" are expressed and used in the online sphere. Based on the theoretical concept of stigma, this study investigates the images and attitudes in society toward the elderly, and the characteristics of hate speech aimed at the elderly. Method. This study conducted text mining based on social big data using anonymous conversations. Results. It was confirmed that the elderly images shared online were generally negative. The attitudes expressed toward them also tended to be negative due to the negative images that are propagated of the elderly. The hate speech relating to the elderly, in usages such as 'Teul-ttag' and 'Kon-dae', were mainly identified in comments that negatively evaluate the elderly, and these expressions demonstrate the depth of hate and discrimination towards the elderly who are considered burdensome by young people. Interestingly, the hateful expressions towards the elderly were found more with regard to issues related to politics and economics and not just any content about the elderly. Conclusions. This study discussed the ways and means to enhance inter-generational understanding and solidity.