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Comparing Sensor Solutions in Practice: Philips Interact and Siemens Enlighted 传感器解决方案在实践中的比较:飞利浦Interact和西门子Enlighted
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967062
Peter Kerr
smartphones, and even the light sensors we use within our built environments. While we can use any connected device, there is only one system that is prevalent throughout a building—lighting. The deployment of a smart lighting control solution provides a single overarching system that enables digital touchpoints throughout the building and creates an observer grid. Lighting control companies are developing traditional lighting control presence sensors into combined smart sensors that can collect more data about the space where they are located. Comparing Sensor Solutions in Practice: Philips Interact and Siemens Enlighted
智能手机,甚至是我们在建筑环境中使用的光传感器。虽然我们可以使用任何联网设备,但在整个建筑中只有一个系统是普遍存在的——照明。智能照明控制解决方案的部署提供了一个单一的总体系统,使整个建筑的数字接触点成为可能,并创建了一个观察者网格。照明控制公司正在将传统的照明控制传感器开发成组合智能传感器,可以收集有关其所在空间的更多数据。传感器解决方案在实践中的比较:飞利浦Interact和西门子Enlighted
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引用次数: 0
Design Evaluation in Architecture Education with an Affordance-Based Approach Utilizing Non-Virtual Reality and Virtual Reality Media 基于非虚拟现实和虚拟现实媒体的可视性方法在建筑教育中的设计评估
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967059
Fauzan Alfi Agirachman, M. Shinozaki
Virtual reality (VR) technology can help students conduct a design evaluation process on their architecture studio course submission. This study explores an architectural design evaluation method that uses an affordance-based design approach with two phases: “Non-VR (NVR) prior to VR” and “NVR followed by VR.” A game-engine-based VR system was developed for this research. The simulated VR system used information from building information modeling (BIM) models to provide information about the evaluated architectural design. Participants evaluated submissions by recognizing the affordances and then mapping them using an affordance structure matrix. All data were evaluated to compare the evaluation results between the two phases. Generally, the evaluation process helps identify perceived affordances in design submissions. The different media provide additional feedback for students.
虚拟现实(VR)技术可以帮助学生对他们的建筑工作室课程提交进行设计评估。本研究探索了一种建筑设计评估方法,该方法采用基于能力的设计方法,分为两个阶段:“非VR (NVR)先于VR”和“NVR之后再VR”。为此,我们开发了一个基于游戏引擎的VR系统。模拟的虚拟现实系统使用建筑信息模型(BIM)模型的信息来提供评估的建筑设计信息。参与者通过识别启示,然后使用启示结构矩阵对它们进行映射来评估提交。对所有资料进行评价,比较两阶段的评价结果。一般来说,评估过程有助于识别设计提交中的可感知性。不同的媒体为学生提供了额外的反馈。
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引用次数: 2
The Anthropomorphism of Intelligence 智慧的拟人论
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967056
A. Schultz, A. Zarzycki
T A D 5 : 2 E D IT O R IA L The call for papers for this issue embraced the broad nature of intelligence, its multiple frameworks and its impact on fabrication, representation, and construction. The breadth of Intelligence was confirmed by the range of papers received, several of them examining systems that deal with the intersection of humans and machines, in physical and virtual realities. Research involving conventional and machine learning shared in this issue represents the interplay of intelligence with architecture and design throughout the design process into post occupancy. The essays display a shared interest in the potential of digital operations and intelligent systems—aiming at improving, understanding, and creating better environments. The enumeration of terms, such as intelligent buildings and cities, smart materials, and autonomous agents is a direct projection of human anthropomorphic tendencies into our actions and outputs. Human perception, awareness, use patterns, and their feedback loop back into the built environment, personifying and individualizing systems. This issue of INTELLIGENCE is reflective of these tendencies and this dichotomy. The work demonstrates that our tools, technologies, and, ultimately, the environment we design, become a responsive and autonomous partner in our lives. This is evident in the contribution by Jeffrey Huang, Mikhael Johanes, Frederick Chando Kim, Christina Doumpioti, and GeorgChristoph Holz, connecting machine learning creativity (generative adversarial networks— GAN) with human verbal narration utilizing natural language processing (NLP). These authors go beyond data analysis and synthesize these generative qualities into computer-based creativity. This partnership is particularly encouraging since it not only provides opportunity for cultural contextualization of GANs but also enables, perhaps, the most human characteristic—creativity—into a broader spectrum of the physical matter. A similar conceptual interest in humans interfacing with the built environment is present in Eugene Han’s research integrating eye tracking with visual simultaneous localization and mapping (VSLAM) techniques to capture and understand an individual’s gaze within spatial environments at various scales. The presented framework not only transforms the established approach from screen-base to spatial analysis but also allows for less scripted and more spontaneous explorations of environments without predefined boundaries. Designing with humans in mind, particularly those more vulnerable, is the focus of the contribution by Yomna El-Ghazouly and Ahmed El Antably. The framework proposed by the authors utilizes digital human models (DHMs) to validate and design spaces that consider individual human characteristics including disabilities. This method demonstrates the promise of moving beyond often generalized ADA requirements and designs to create spaces that fit individual situations. Material-based research by Vasilik
这个问题的论文征集包含了智能的广泛本质,它的多种框架以及它对制造、表示和构建的影响。收到的论文的范围证实了智能的广度,其中一些研究了在物理和虚拟现实中处理人与机器交集的系统。本期分享的涉及传统和机器学习的研究代表了智能与建筑和设计在整个设计过程中的相互作用。这些论文显示了对数字操作和智能系统的潜力的共同兴趣——旨在改善、理解和创造更好的环境。诸如智能建筑和城市、智能材料和自主代理等术语的列举是将人类拟人化倾向直接投射到我们的行为和输出中。人类的感知、意识、使用模式以及它们的反馈循环回到建筑环境中,使系统人格化和个性化。本期《情报》杂志反映了这些趋势和这种二分法。这项工作表明,我们的工具、技术,以及最终,我们设计的环境,成为我们生活中一个有反应的、自主的伙伴。这在Jeffrey Huang、mikhail Johanes、Frederick Chando Kim、Christina Doumpioti和george christoph Holz的贡献中很明显,他们将机器学习创造力(生成对抗网络- GAN)与利用自然语言处理(NLP)的人类口头叙述联系起来。这些作者超越了数据分析,并将这些生成特性合成为基于计算机的创造力。这种伙伴关系尤其令人鼓舞,因为它不仅为gan的文化背景化提供了机会,而且还可能使最具人类特征的创造力进入更广泛的物理物质领域。尤金·韩(Eugene Han)将眼动追踪与视觉同步定位和映射(VSLAM)技术结合起来,在不同尺度的空间环境中捕捉和理解个人的目光,这一研究也体现了人类与建筑环境之间的类似概念兴趣。所呈现的框架不仅将既定的方法从屏幕基础转换为空间分析,而且还允许更少的脚本和更多的自发探索环境,没有预定义的边界。Yomna El- ghazouly和Ahmed El antable在设计时考虑到人类,特别是那些更脆弱的人,这是他们贡献的重点。作者提出的框架利用数字人体模型(DHMs)来验证和设计考虑个人特征(包括残疾)的空间。这种方法展示了超越通常普遍化的ADA需求和设计的希望,以创造适合个人情况的空间。Vasiliki Fragkia, Isak Worre Foged和Anke Pasold的基于材料的研究结合了计算机视觉(CV),机器学习和预测(数据驱动)制造具有梯度特性的行为和几何复杂的天然材料。通过对藻类和木材的案例研究,该研究证明了所提出的预测信息建模(PIM)框架在解决材料意识和不确定性、多尺度数据集成和周期性制造工作流程方面的可行性。Fauzan Alfi Agirachman和Michihiko Shinozaki使用了基于功能支持的设计评估过程,他们通过功能支持和虚拟现实(VR)工具的组合来比较设计工作室项目的评估,并通过非虚拟现实(NVR)媒体进行评估。研究结果记录了媒体的选择在如何感知能力方面所起的重要作用,提出了优势和劣势,可以为未来的评估框架提供信息。围绕智能的研究——人工智能和人类智能——在这个智能问题中讨论的是围绕动态过程进行的;它质疑现有的设计方法,并将正在进行的工作与在不久的将来取得更多成果的承诺结合起来。为了突破评估和预测的界限,研究智能的工作可能自然而然地倾向于涉及拟人化,以寻求与我们的地点和技术之间深刻而富有成效的关系。智慧的拟人论
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引用次数: 1
Integrating Mobile Eye-Tracking and VSLAM for Recording Spatial Gaze in Works of Art and Architecture 结合移动眼动追踪与VSLAM记录艺术与建筑作品的空间凝视
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967058
Eugene Han
This paper proposes a method for spatial eye-tracking for use with three-dimensional objects and environments. By integrating mobile eye-tracking (MET) with Visual Simultaneous Localization and Mapping (VSLAM) technologies, the study provides an unobtrusive technique for capturing an individual’s gaze across an open space and through an unprescribed viewing path. The included proof-of-concept is tested against three scales, from a large sculpture to a set of towering cement kilns and an exterior building passage. Demonstrations show that the integration of MET and VSLAM provides a useful tool for testing scenarios without predefined viewing conditions and allowing insight into how others view works of art and architecture.
本文提出了一种用于三维物体和环境的空间眼动追踪方法。通过将移动眼动追踪(MET)与视觉同步定位和映射(VSLAM)技术相结合,该研究提供了一种不引人注目的技术,可以在开放空间和未经规定的观看路径上捕捉个人的目光。包含的概念验证在三个尺度上进行了测试,从大型雕塑到一组高耸的水泥窑和外部建筑通道。演示表明,MET和VSLAM的集成为测试场景提供了一个有用的工具,无需预定义的查看条件,并允许深入了解其他人如何查看艺术和建筑作品。
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引用次数: 7
Undertaking Research with Humans within Artificial Intelligence and Robotics: Multimodal Elderly Care Systems 人工智能与机器人中的人类研究:多模式老年护理系统
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967052
J. Tørresen
Artificial Intelligence (AI) has become widespread in recent years and made tremendous progress thanks to automated learning and optimization. This paper outlines research methods within human-centered AI and robotics utilized in the Multimodal Elderly Care Systems (MECS 2021) research project. The project’s main research question asked how human activities and states can best be monitored by a mobile robot. A primary result is that sensors can be both effective and preferable while addressing increasing privacy concerns. Another result is that the user’s age impacts the preferred speed and distance for human/robot interaction. Research ethical considerations are also important for AI research and are presented in this paper.
人工智能(AI)近年来得到广泛应用,由于自动学习和优化,人工智能取得了巨大的进步。本文概述了在多模式老年护理系统(MECS 2021)研究项目中使用的以人为中心的人工智能和机器人技术的研究方法。该项目的主要研究问题是,移动机器人如何才能最好地监测人类的活动和状态。一个主要的结果是,在解决日益增加的隐私问题时,传感器既有效又更可取。另一个结果是,用户的年龄会影响人机交互的首选速度和距离。研究伦理考虑对人工智能研究也很重要,并在本文中提出。
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引用次数: 4
Using Digital Human Models to Evaluate the Ergonomic Comfort of Interior Layouts and Furniture Design 利用数字人体模型评估室内布局和家具设计的人体工程学舒适性
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967061
Yomna El-Ghazouly, Ahmed El Antably
Despite broad adoption of Digital Human Models (DHMs) in other disciplines, the use of ergonomics in interior design heavily depends on design standards that offer rigid guidelines that do not adapt to design or human schemata. Digital ergonomic assessments and DHMs help designers predict and evaluate comfort for more human-centered designs. This paper proposes a framework to incorporate digital ergonomic evaluations to quantify and assess interior spaces’ ergonomic comfort using customized DHMs. The framework demonstrates a closed feedback loop connecting 3D models with Human Builder to perform quantitative ergonomic tests while offering real-time results with design recommendations. This implementation showed that individual physical capabilities affected the users’ comfort and design outcomes.
尽管在其他学科中广泛采用了数字人体模型(DHMs),但在室内设计中使用人体工程学在很大程度上依赖于设计标准,这些标准提供了严格的指导方针,不适应设计或人类模式。数字人体工程学评估和dhm帮助设计师预测和评估更以人为本的设计的舒适性。本文提出了一个框架,结合数字人体工程学评估,量化和评估室内空间的人体工程学舒适性使用定制的dhm。该框架演示了一个封闭的反馈回路,将3D模型与Human Builder连接起来,以执行定量的人体工程学测试,同时提供带有设计建议的实时结果。这一实现表明,个人的身体能力会影响用户的舒适度和设计结果。
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引用次数: 1
The Intelligence of Architectural Research 建筑研究的智能
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967026
M. Uihlein
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引用次数: 0
Autonomous Robotics in the AEC practice 自主机器人在AEC实践
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967072
A. Simondetti, N. Bachand, A. Delahunty, J. Griffith, Julius Sustarevas
In recent years, technical development in robotics has been enhanced by leaps forward in artificial intelligence and machine learning (ML). Today’s robots learn and optimize their motion, are remotely connected and ready for deployment, and can transfer learned models and behaviors between industries or applications. This paradigm shift and step change in available autonomy necessitates rethinking how robotics may impact the AEC industry. Until now, contractors and fabricators have mainly used robots to replace humans in the narrow opportunity presented by “Dull, Dirty, and Dangerous” tasks (the 3Ds)—repeated millions of times with little variability. However, AEC professionals are starting to explore robots’ ability to perform tasks that are “Specific, Sustainable, and Scalable” (the 3Ss). Robots complete specific tasks by producing one-off designs and sustainable tasks as they render viable reuse as well as material and waste reduction. Yet they maintain scalability by being able to effortlessly multiply into the hundreds or even millions. They are “smart” enough to work alongside humans, rather than replace them.
近年来,人工智能和机器学习(ML)的突飞猛进促进了机器人技术的发展。今天的机器人学习和优化他们的运动,远程连接并准备部署,并且可以在行业或应用程序之间传输学习的模型和行为。这种模式的转变和可用自主性的变化需要重新思考机器人将如何影响AEC行业。到目前为止,承包商和制造商主要使用机器人来代替人类完成“枯燥、肮脏和危险”的任务(3Ds),这些任务重复了数百万次,几乎没有变化。然而,AEC专业人员开始探索机器人执行“特定、可持续和可扩展”(3s)任务的能力。机器人通过生产一次性设计和可持续任务来完成特定任务,因为它们提供了可行的重复使用以及材料和废物减少。然而,它们通过能够毫不费力地增加到数百甚至数百万来保持可伸缩性。它们足够“聪明”,可以与人类一起工作,而不是取代人类。
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引用次数: 0
Thinking Tools for Systems Thinking 系统思考的思考工具
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967051
Azam Khan
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引用次数: 0
Internet of Construction: Research Methods for Practical Relevance in Construction 建筑互联网:建筑实践相关的研究方法
Q1 Arts and Humanities Pub Date : 2021-07-03 DOI: 10.1080/24751448.2021.1967053
Lukas Kirner, Elisa Lublasser, S. Brell-Çokcan
The German Federal Ministry of Education and Research (BMBF)-funded research “Internet of Construction” (IoC) explores the digitalization and interconnection of construction processes throughout the value chain. It addresses the implementation of robotic processes and Industry 4.0 technologies within a broad consortium of industry partners. The consortium brings together suppliers of construction and robotic machinery with fabrication and construction contractors as well as architecture, mechanical engineering, and economics researchers. The IoC incorporates a living lab (Aachen West site), where new approaches are developed, tested, and evaluated in the context of real-world settings. While the project is ongoing, promising results in the enhancement of productivity in construction have already been demonstrated through the collaboration of industry and academic partners.
德国联邦教育和研究部(BMBF)资助的研究“建筑互联网”(IoC)探索了整个价值链中建筑过程的数字化和互联互通。它解决了机器人过程和工业4.0技术在广泛的行业合作伙伴联盟中的实施。该联盟将建筑和机器人机械的供应商、制造和施工承包商以及建筑、机械工程和经济学研究人员聚集在一起。IoC包含了一个生活实验室(亚琛西部站点),在这里,新的方法被开发、测试和评估在现实环境的背景下。虽然该项目仍在进行中,但通过工业和学术伙伴的合作,在提高建筑生产力方面已经取得了可喜的成果。
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引用次数: 4
期刊
Technology Architecture and Design
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