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Compliance to Feedback on Uncivil Comments in a Virtual Online News Portal: The Role of Avatar Presence (가상 온라인 기사 포털에서 아바타의 존재와 반시민적 댓글 피드백에 대한 행동 순응)

  • YounJung Park;HeeJo Keum;SeYoung Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.419-425
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    • 2024
  • As digital communication gains prominence, there is an increasing trend in uncivil behaviors like rude or hateful comments and the empathetic actions towards them, highlighting the need for social efforts to address these issues. As part of these endeavors, we investigated how avatar feedback in a virtual news portal affects users' empathy towards uncivil comments. We defined both posting and empathizing with uncivil comments as antisocial actions. To this end, we posted socially controversial news in a virtual space and provided feedback in two forms when participants selected uncivil comments: text-only feedback and feedback accompanied by an avatar. We then assessed the impact of this feedback on behavioral conformity, guilt, and self-image concern through surveys. Our results showed that avatar-provided feedback significantly influenced participants' social responses more than text-based feedback. Interaction with avatars notably increased participants' behavioral conformity, guilt, and self-image concern. We concluded that avatar-based interactions can positively influence users' social behaviors and attitudes, suggesting their potential in fostering a more civil and responsible digital communication culture.

Ethical and Legal Implications of AI-based Human Resources Management (인공지능(AI) 기반 인사관리의 윤리적·법적 영향)

  • Jungwoo Lee;Jungsoo Lee;Ji Hun kwon;Minyi Cha;Kyu Tae Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.25 no.2
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    • pp.100-112
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    • 2024
  • This study investigates the ethical and legal implications of utilizing artificial intelligence (AI) in human resource management, with a particular focus on AI interviews in the recruitment process. AI, defined as the capability of computer programs to perform tasks associated with human intelligence such as reasoning, learning, and adapting, is increasingly being integrated into HR practices. The deployment of AI in recruitment, specifically through AI-driven interviews, promises efficiency and objectivity but also raises significant ethical and legal concerns. These concerns include potential biases in AI algorithms, transparency in AI decision-making processes, data privacy issues, and compliance with existing labor laws and regulations. By analyzing case studies and reviewing relevant literature, this paper aims to provide a comprehensive understanding of these challenges and propose recommendations for ensuring ethical and legal compliance in AI-based HR practices. The findings suggest that while AI can enhance recruitment efficiency, it is imperative to establish robust ethical guidelines and legal frameworks to mitigate risks and ensure fair and transparent hiring practices.

A Study on the Artificial Intelligence (AI) Training Data Quality: Fuzzy-set Qualitative Comparative Analysis (fsQCA) Approach (인공지능 학습용 데이터 품질에 대한 연구: 퍼지셋 질적비교분석)

  • Hyunmok Oh;Seoyoun Lee;Younghoon Chang
    • Information Systems Review
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    • v.26 no.1
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    • pp.19-56
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    • 2024
  • This study is empirical research to enhance understanding of AI (artificial intelligence) training data project in South Korea. It primarily focuses on the various concerns regarding data quality from policy-executing institutions, data construction companies, and organizations utilizing AI training data to develop the most reliable algorithm for society. For academic contribution, this study suggests a theoretical foundation and research model for understanding AI training data quality and its antecedents, as well as the unique data and ethical aspects of AI. For this purpose, this study proposes a research model with important antecedents related to AI training data quality, such as data attribute factors, data building environmental factors, and data type-related factors. The study collects 393 sample data from actual practitioners and personnel from companies building artificial intelligence training data and companies developing artificial intelligence services. Data analysis was conducted through Fuzzy Set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network analysis (ANN), presenting academic and practical implications related to the quality of AI training data.

Exploring self-compassion predictors among social work majors: Relationships with resilience, mental health well-being, and engagement (사회복지 전공자의 자기자비 요인 탐색: 회복탄력성, 정신적 웰빙, 참여도와 관계)

  • Hyun-Jin Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.5
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    • pp.277-287
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    • 2024
  • The purpose of this study was to explore the predictors of self-compassion correlated to mental health, and to suggest integrated self-compassion training and mental health practice plans for social welfare college students. Although self-compassion has been shown to be an important predictor in maintaining personal mental health, research on practical knowledge to improve level of self-compassion is limited. Therefore, there is a need to explore the relationship between predictors related to self-compassion for suggesting alternative interventions. This study used resilience, mental health well-being, and engagement scales whose relationships have been explored in self-compassion studies. Data was collected for 2021-2022 from third-year or higher social welfare college students in the metropolitan area. A total of 202 cases were analyzed, and correlation and regression analysis were applied using SPSS. Self-compassion was positively correlated with resilience, mental health well-being, and engagement. Resilience and mental health well-being were identified as important predictors of self-compassion. Unlike self-compassion, resilience and mental health well-being are familiar with social welfare students and educators, and existing resilience training and well-being education would be integrated to improve self-compassion capability.

A Study on the Synthesis of Tricyclopentadiene Using Ionic Liquid Catalysts (이온성 액체 촉매를 이용한 Tricyclopentadiene 합성에 관한 연구)

  • Kim, Su-Jung;Han, Jeongsik;Jeon, Jong-Ki;Yim, Jin-Heong
    • Applied Chemistry for Engineering
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    • v.26 no.5
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    • pp.593-597
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    • 2015
  • Tricyclopentadiene (TCPD) as a next generation high density fuel was synthesized by Diels-Alder oligomerization reaction of DCPD. TCPD was prepared by ionic liquid (IL) catalysts with combination of cationic and anionic precursors. Two kinds of anionic precursors such as copper(I) chloride (CuCl) and iron(III) chloride ($FeCl_3$) and cationic precursors such as triethylamine hydrochloride (TEAC) and 1-butyl-3-methylimidazolium chloride (BMIC) were used. The preparation of TCPD using IL catalyst was superior to that using Diels-Alder reaction in terms of DCPD conversion and TCPD yield. In addition, TCPD yield was correlated with Lewis acidity by changing the ratio of anionic and cationic precursors. The TCPD yield was higher when using CuCl as anionic precursor than that of using $FeCl_3$. Control of Lewis acidity by changing the molar ratio of anionic and cationic precursors could further improve TCPD yield as well.

Effect of Temperature on Interlaminar Fracture Toughness of Filament-Wound Carbon/Epoxy Composites (필라멘트 와인딩된 카본/에폭시 복합재의 층간파괴인성에 미치는 온도 영향)

  • Im, JaeMoon;Shin, KwangBok;Hwang, Taekyung
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.5
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    • pp.491-497
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    • 2015
  • This paper reports an experimental study for evaluating the effect of temperature on the mode I, mode II and mixed-mode interlaminar fracture toughness of adhesive joints with a curved cross-section of filament-wound dome-separated composite pressure vessel. Mode I and mixed-mode interlaminar fracture toughness were evaluated using DCB specimens, while mode II interlaminar fracture toughness was determined using ENF specimens. $[{\pm}10^{\circ}]_6$, $[{\pm}27^{\circ}]_6$ and ($[{\pm}10^{\circ}]_3/FM73/[{\pm}27^{\circ}]_3$) winding specimens with the curved cross-section were considered. In-situ temperature environments were simulated with a range of $-30^{\circ}C-60^{\circ}C$ using an environmental chamber and furnace. Experimental results on the effect of temperature indicate that interlaminar fracture toughness tends to be high at low temperature and is degraded with increase in temperature. For specimen types, it was found that interlaminar fracture toughness of $[{\pm}10^{\circ}]_3/FM73/[{\pm}27^{\circ}]_3$ winding specimens considered as adhesive joints of dome and helical part was higher than other specimens.

Analysis on Pedestrian Crossing Illegal Behavior on Exclusive Median Bus Corridor: A Cace Study of Express Bus Terminal Station (중앙버스전용차로 횡단보도 보행 위반행태 분석: 고속버스터미널역 사례 분석)

  • Lee, Dong-Il;Kim, Jin Tae;Kim, Jun-Yong;Bae, Hyun-Sik
    • Journal of Korean Society of Transportation
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    • v.33 no.2
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    • pp.136-144
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    • 2015
  • It has reported that a median bus-stop island on an exclusive median bus corridor has shortened a unit crossing distance, encouraged a pedestrian's illegal jay walking, and thus increased the number of accidents in the area. Therefore, this study plans to analyze the various crossing patterns of pedestrians at exclusive median bus corridors. This study analyzes 30,184 pedestrian crossing data which are collected from the median bus-stops, 'Express Bus Terminal,' and reveals that the rate of spatial jaywalking was 37.8%. This rate is 11.1 times higher than the rate of traffic signal violation. Therefore, this study suggests that more research needs to be done to provide a traffic safety facilities for protecting spatial crossing pedestrians and preventing jaywalking and traffic signal violation.

Estimation of Solid Sediments Load by Sewer and Land Surface for Maintenance of Combined Sewer Systems (합류식 관거 유지관리를 위한 하수 및 지표면 고형물 부하량 산정)

  • Lee Jae-Soo;Park Moo-Jong
    • Journal of Korea Water Resources Association
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    • v.39 no.6 s.167
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    • pp.533-544
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    • 2006
  • The deposition of solids in combined sewer systems results in a loss of flow capacity that may restrict flow and cause a local flooding and enhanced solids deposition. In order to solve these problems and proper pipe management, estimation of solid loads from sewer and surface in a drainage basin is needed but this task is very difficult and extremely expensive. In this study, generalized procedures for estimating sewer solid loads during dry weather in combined sewer systems and for estimating solid loads on surface in a drainage basin developed by the U. S. Environmental Protection Agency were applied and analyzed in Gunja drainage basin in Korea. As result, the estimated solid loads from sewer and surface are 205.8,759kg/yr and 1,321,993kg/yr respectively, and total solid loads is 1,527,752kg/yr. The estimated solid removal from street cleaning, dredging from pipe system and pumping house is 1,486,636kg/yr. Therefore, the applied methods show resonable results. More reliable estimation can be achieved if long-term measurements and adjustment of estimation equations are carried out, and this estimation methods can be used usefully for the management of combined sewer system with reduction of cost and effort.

Water Quality Monitoring in Small/Medium Sized Reservoirs (국내 중소형 저수지 활용을 위한 수질 분석)

  • Lim, Myunghee;Lee, Wontae;Son, Younggyu
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.11
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    • pp.631-635
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    • 2015
  • Water quality investigation was conducted for small/medium sized reservoirs in A city in June and November 2014 as a preliminary step for further use. Water quality analysis experiments were conducted for 21 reservoirs managed by a local government and water quality data were obtained from Korea Rural Community Corporation for 12 reservoirs. It was found that relatively poor water quality, not satisfied with the regulation level (somewhat poor(IV)) for agricultural use, was observed for some reservoirs and worse water quality (poor(V) and very poor(VI) grade) was observed for more reservoirs during autumn /winter season due to the decrease in water volume. Correspondingly, the trophic state was obtained as "Eutrophic" or "Hypertrophic" using the Korean trophic state index for most reservoirs. It was also revealed that significant contamination in sediments was not observed for selected 8 reservoirs considering water quality in each reservoir. The results in this study could be useful for the use of small/medium sized reservoirs as alternative water resources, tourism resources, inland fishery resources, renewable energy production sites, and anti-flooding reservoirs.

Comparison of Ambient Real-Time PM2.5 Concentrations at Major Roadside with on those at Adjacent Residential Sites in Seoul Metropolitan City (서울시 도로변지역과 인근 주거 밀집지역의 실시간 대기 중 PM2.5농도 비교)

  • Yun, Dongmin;Kim, Bokyeong;Lee, Dongjae;Lee, Seonyeob;Kim, Sungroul
    • Journal of Environmental Science International
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    • v.24 no.7
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    • pp.875-882
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    • 2015
  • In 2013, International Agency for Research on Cancer (IARC) concluded that outdoor air pollution is carcinogenic to humans, with the particulate matter component of air pollution most closely associated with sufficient evidence of increased cancer incidence by exposure to particulate matter component of air pollution. Motor vehicles are one of a major emission sources of fine particle ($PM_{2.5}$) in urban areas. A large number of epidemiological studies have reported a positive association of morbidity or mortality with distance from the roadside. We conducted this study to assess the association of $PM_{2.5}$ concentrations measured at roadside hotspots with those at adjacent residential sites using real-time $PM_{2.5}$ monitors. We conducted real-time $PM_{2.5}$ measurements for rush hour periods (08:00~10:00 and 18:00~20:00) at 9 roadside air monitoring Hotspot sites in metropolitan Seoul over 3 weeks from October 1 to 21, 2013. Simultaneous measurements were conducted in residential sites within a 100 m radius from each roadside air monitoring site. A SidePak AM510 was used for the real-time $PM_{2.5}$ measurements. Medians of roadside $PM_{2.5}$ concentrations ranged from $9.8{\mu}g/m^3$ to $38.3{\mu}g/m^3$, while corresponding median values at adjacent residential sites ranged from $4.4{\mu}g/m^3$ to $37.3{\mu}g/m^3$. $PM_{2.5}$ concentrations of residential sites were 0.97 times of hotspot roadside sites. Distributions of $PM_{2.5}$ concentrations in roadside and residential areas were also very similar. Real-time $PM_{2.5}$ concentrations at residential sites, (100 m adjacent), showed similar levels to those at roadside sites. Increasing the distance between roadside and residential sites, if needed, should be considered to protect urban resident populations from $PM_{2.5}$ emitted by traffic related sources.