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Allow Housewives to Use the Washing Machine - The Cultural Politics of Images of Housewives and Families in Washing Machine Advertisements in 1970s Korean Newspapers 允许家庭主妇使用洗衣机——20世纪70年代韩国报纸洗衣机广告中家庭主妇形象的文化政治
Q1 Arts and Humanities Pub Date : 2023-02-28 DOI: 10.15187/adr.2023.02.36.1.317
Haecheon Park
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引用次数: 0
Analyzing the Domestic Industrial Design Curriculum based on NASAD Certification and Reconsidering the Possibility of the Design Education Quality Improvement System of Domestic Universities: Case Study of S University 基于NASAD认证的国内工业设计课程分析与国内高校设计教育质量提升体系的可能性再思考——以S大学为例
Q1 Arts and Humanities Pub Date : 2023-02-28 DOI: 10.15187/adr.2023.02.36.1.75
Yeoyong Kim, S. Jang
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引用次数: 1
Stress Management Design Guideline with Smart Devices during COVID-19 新冠肺炎期间智能设备的压力管理设计指南
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.115
Jeannie Kang, Daehee Park
Background Stress among the general population has been steadily increasing, and the COVID-19 outbreak across the globe amplified stress by changing how we live our daily lives. As the social cost of stress increases and individual lives become devastated, managing stress becomes a critical issue. Government organizations suggest general guidelines to cope with stress during the COVID-19 pandemic. Also, smart devices such as smartwatches and smartphones detect and monitor physiological data as an integral part of our daily life, enabling us to recognize our stress level anytime, anywhere. However, there is a lack of studies regarding stress-relieving methods with smart devices. Methods We proposed a stress management flow correlating the human cognitive process with smart device interventions. Then, we developed a step-by-step guideline on a smartphone paired with a smartwatch to relieve physical stress with lack of movement, psychological stress with fear from uncertainty, psychosocial stress with loneliness and social isolation, and psycho-spiritual stress with limitations for faith community routine during COVID-19. We recruited 24 university students as participants (8 males, 16 females), and we measured perceived stress scale (PSS) score based on the case study to verify the new design guidelines. The participants ranged in age from 20 to 25 years (mean age = 22.08). We used 14 stress measurement questions to calculate the PSS (PSS maximum = 56). In addition, we used a one-way ANOVA to analyze the PSS results. Results In general, the results of one-way ANOVA for total PSS indicated a noticeable difference between before and after the prototype (F = 33.47;p < 0.01). The mean scores were 33.25 before the prototype and 28.13 after the prototype in the statistical analysis. Findings from this study advocated our new design guidelines with smart devices that help relieve stress but there are limitations such as constrained recruiting sample and the duration of the prototype testing, fundamental difference between short-term and long-term stresses, and limited scope of stress categories and smart devices. Conclusions This study's contribution is to expand smart device's usage to stress relief during COVID-19, not only limited to stress measurement. From this study, we hope to open a discussion on the role of smart devices to manage stress and how to design guidelines for user's quality of life. © This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted educational and non-commercial use, provided the original work is properly cited.
背景普通人群的压力一直在稳步增加,新冠肺炎在全球的爆发改变了我们的日常生活方式,从而加剧了压力。随着压力的社会成本增加,个人生活受到破坏,管理压力成为一个关键问题。政府组织提出了应对新冠肺炎大流行期间压力的一般指导方针。此外,智能手表和智能手机等智能设备检测和监测生理数据,将其作为我们日常生活的一个组成部分,使我们能够随时随地识别自己的压力水平。然而,缺乏关于智能设备减压方法的研究。方法我们提出了一种将人类认知过程与智能设备干预相关联的压力管理流程。然后,我们在智能手机和智能手表上制定了一个循序渐进的指导方针,以缓解新冠肺炎期间因缺乏运动而产生的身体压力、因不确定性而产生的恐惧而产生的心理压力、因孤独和社会孤立而产生的社会心理压力,以及因信仰社区常规受到限制而产生的精神压力。我们招募了24名大学生作为参与者(8名男性,16名女性),并根据案例研究测量了感知压力量表(PSS)得分,以验证新的设计指南。参与者的年龄从20岁到25岁不等(平均年龄=22.08)。我们使用了14个压力测量问题来计算PSS(PSS最大值=56)。此外,我们使用单因素方差分析来分析PSS结果。结果总体而言,总PSS的单因素方差分析结果显示,原型前后有显著差异(F=33.47;p<0.01)。统计分析中,原型前和原型后的平均得分分别为33.25和28.13。这项研究的结果支持我们对智能设备的新设计指南,这些指南有助于缓解压力,但也有局限性,如招募样本和原型测试的持续时间有限,短期和长期压力之间的根本差异,以及压力类别和智能设备的范围有限。结论本研究的贡献在于扩大智能设备在新冠肺炎期间缓解压力的使用范围,而不仅仅局限于压力测量。通过这项研究,我们希望就智能设备在管理压力方面的作用以及如何设计用户生活质量的指导方针展开讨论。©这是一篇根据知识共享署名非商业许可条款分发的开放获取文章(http://creativecommons.org/licenses/by-nc/3.0/),允许不受限制的教育和非商业用途,前提是正确引用了原作。
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引用次数: 1
An Improvement Plan for Directional Signs at Interchange Stations Using Service Design Process and User Behavioral Pattern Analysis: Suwon Station 基于服务设计过程和用户行为模式分析的换乘站方向标志改进方案:水原站
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.231
Gyu-Ryung Park, Sung-Uk Jo
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引用次数: 0
Exploring EEG-based Design Studies: A Systematic Review 探索基于脑电图的设计研究:系统综述
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.91
Na-Hyeon Kim, Seohyeon Chung, Da In Kim
Background Human experiences are key considerations in design research and practice. Neuroscience techniques allow quantitative measurement of underlying human neurophysiological responses to design. However, despite the importance of electroencephalography (EEG) in performing such quantification, design experiments have not widely applied EEG, limiting the insights that design researchers can produce. Thus, this paper describes the use of EEG in experimentation in various design fields and suggests its integration into design research. Methods This study systematically reviewed experimental design research that utilized EEG in various design domains, such as product design or architecture. Twenty-nine papers were selected using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method. The selected papers were published in peer-reviewed journals between 2012 and 2022, written in English, and were analyzed for their design, variables, EEG tools and indicators, stimuli, experimental settings, analysis methods, and findings. Analysis was applied through a framework, population, intervention, control, outcome, and setting (PICOS) methodology. Results This paper analyzed EEG-based experiments according to PICOS to provide information about how EEG is used in experimental design research, shedding light on the application of EEG methodology in various design fields, including product design, interior (or architecture) design, and service design. The results show that neuroscience techniques can be used to collect brain data for design research. EEG has been used in various experimental design research fields to explore how an individual user reacts to specific design elements and experience. Conclusions Neurophysiological data retrieved from experiments can be used to develop evidence-based design strategies to improve the design process and design decision-making. The findings in this study contribute to our understanding of cognitive, emotional, and behavioral responses to design.
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引用次数: 2
Development of Sustainable Fashion Design Education Program 可持续服装设计教育项目的开发
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.149
Jieun Kim, J. Lee
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引用次数: 0
Predicting Museum Visitors’ Artwork Preference through Deep Learning 通过深度学习预测博物馆参观者的艺术品偏好
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.309
Taeha Yi, Hwan Kim, Ji-Hyun Lee
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引用次数: 1
Personalization Process of 3D Printed Products using Parametric Design 使用参数化设计的3D打印产品个性化过程
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.31
J. Madrigal, Seongwon Jeong
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引用次数: 0
The Effect of Design Classes Using Artificial Intelligence in the Era of COVID-19 on Social Responsibility of High School Students 新冠肺炎时代人工智能设计课对高中生社会责任的影响
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.251
AhYoung Byun, Hyojung Kim
Background As online classes have been activated due to COVID-19, the need for edutech education using technology rather than classes using existing textbooks and teaching tools been raised in the educational field. Accordingly, this study examines artificial intelligence education according to the activation of edutech education according to the COVID-19 era. The purpose of this study is to investigate how high school design classes using artificial intelligence affect social responsibility. Methods After examining the trends, policies, and cases of artificial intelligence education following the revitalization of edutech education due to COVID-19, based on the analysis of related prior research, the 6th session of the high school art subject design lesson plan was developed. Afterwards, three design education experts and three AI technology experts were consulted twice, and the contents were revised and supplemented. From October to November 2020, the 6th class was applied to a total of 96 students in the first and second grades of H High School in Seoul. The data collected in this study were subjected to computational statistics using SPSS, and the significance level was in the range of p<.05, p<.01, and p<.001. Results As a result of the pre and post-analysis results, a matched-sample t-test was conducted to explore the educational effect of all 96 respondents. As a statistically significant educational result in all five domains of sexual attitude, responsibility obligation, responsibility ability, responsibility efficacy, and responsibility performance, the overall factor was 0.66 from the pretest (M=3.69) to the posttest (M=4.35). An educational effect was verified. Conclusions Through this study, high school design classes using artificial intelligence have a positive effect on students' social responsibility. Although there are limitations in generalizing the study by conducting the study with students in four classes, it is expected that continuous and meaningful research on similar subjects will be achieved. © This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted educational and non-commercial use, provided the original work is properly cited.
背景随着新冠肺炎导致在线课程被激活,教育领域对使用技术而不是使用现有教科书和教学工具的教育技术教育的需求也随之增加。因此,本研究根据新冠肺炎时代教育技术教育的激活来研究人工智能教育。本研究的目的是调查使用人工智能的高中设计课如何影响社会责任。方法通过对新冠肺炎教育振兴后人工智能教育的发展趋势、政策和案例的分析,在前期相关研究的基础上,制定高中美术学科设计第六期课程计划。之后,两次咨询了三位设计教育专家和三位人工智能技术专家,并对内容进行了修订和补充。2020年10月至11月,首尔H高中一年级和二年级共96名学生申请了第6个班。本研究中收集的数据使用SPSS进行计算统计,显著性水平在p<.05、p<.01和p<.001的范围内。结果作为前后分析结果的结果,进行了匹配样本t检验,以探索所有96名受访者的教育效果。在性态度、责任义务、责任能力、责任效能和责任表现五个领域的教育结果具有统计学意义,从前测(M=3.69)到后测(M=4.35),总体因素为0.66。教育效果得到验证。结论通过本研究,使用人工智能的高中设计课对学生的社会责任感有积极影响。尽管通过对四个班的学生进行研究来概括这项研究存在局限性,但预计将实现对类似主题的持续和有意义的研究。©这是一篇根据知识共享署名非商业许可条款分发的开放获取文章(http://creativecommons.org/licenses/by-nc/3.0/),允许不受限制的教育和非商业用途,前提是正确引用了原作。
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引用次数: 0
The Application of Motion Graphics to Disaster Safety Pictograms for the Hearing-Impaired 运动图在听力受损者灾难安全图中的应用
Q1 Arts and Humanities Pub Date : 2022-11-30 DOI: 10.15187/adr.2022.11.35.4.175
Jeong-il Son, Eunsil Yi
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引用次数: 2
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Archives of Design Research
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