Showing papers on "Design tool published in 2020"
01 Oct 2020
TL;DR: This paper presents how to architect an SFQ-based architectural unit by providing design principles with an extreme-performance neural processing unit (NPU), and presents SuperNPU, an exampleSFQ- based NPU architecture, which effectively resolves the challenges.
Abstract: Superconductor single-flux-quantum (SFQ) logic family has been recognized as a highly promising solution for the post-Moore’s era, thanks to its ultra-fast and low-power switching characteristics. Therefore, researchers have made a tremendous amount of effort in various aspects to promote the technology and automate its circuit design process (e.g., low-cost fabrication, design tool development). However, there has been no progress in designing a convincing SFQ-based architectural unit due to the architects’ lack of understanding of the technology’s potentials and limitations at the architecture level.In this paper, we present how to architect an SFQ-based architectural unit by providing design principles with an extreme-performance neural processing unit (NPU). To achieve the goal, we first implement an architecture-level simulator to model an SFQ-based NPU accurately. We validate this model using our die-level prototypes, design tools, and logic cell library. This simulator accurately measures the NPU’s performance, power consumption, area, and cooling overheads. Next, driven by the modeling, we identify key architectural challenges for designing a performance-effective SFQ-based NPU (e.g., expensive on-chip data movements and buffering). Lastly, we present SuperNPU, our example SFQ-based NPU architecture, which effectively resolves the challenges. Our evaluation shows that the proposed design outperforms a conventional state-of-the-art NPU by 23 times. With free cooling provided as done in quantum computing, the performance per chip power increases up to 490 times. Our methodology can also be applied to other architecture designs with SFQ-friendly characteristics.
43 citations
21 Apr 2020
TL;DR: A design method for fluidic mechanisms that respond to deformation by mechanical inputs from the user, such as pressure and bending is presented, and a set of primitive venous structures that act as embedded analog fluidic sensors, displaying flow and color change are designed.
Abstract: Venous Materials is a novel concept and approach of an interactive material utilizing fluidic channels. We present a design method for fluidic mechanisms that respond to deformation by mechanical inputs from the user, such as pressure and bending. We designed a set of primitive venous structures that act as embedded analog fluidic sensors, displaying flow and color change. In this paper, we consider the fluid as the medium to drive tangible information triggered by deformation, and at the same time, to function as a responsive display of that information. To provide users with a simple way to create and validate designs of fluidic structures, we built a software platform and design tool UI. This design tool allows users to quickly design the geometry, and simulate the flow with intended mechanical force dynamically. We present a range of applications that demonstrate how Venous Materials can be utilized to augment interactivity of everyday physical objects.
34 citations
18 Oct 2020
TL;DR: The CBC-generator as discussed by the authors is a three-tiered design tool, consisting of a technical, industrial and business model generator, which can support the building industry in developing and implementing circular building components in the built environment.
Abstract: The transition to a circular economy in the built environment is key to achieving a resource-effective society. The built environment can be made more circular by applying circular building components. The purpose of this paper is to present a design tool that can support industry in developing circular building components.,The tool was developed and tested in five steps. In Step 1, the authors analysed existing circular design frameworks to identify gaps and develop requirements for the design tool (Step 2). In Step 3, the authors derived circular design parameters and options from existing frameworks. In Step 4, the authors combined and specified these to develop the “circular building components generator” (CBC-generator). In Step 5, the CBC-generator was applied in the development of an exemplary component: the circular kitchen and tested in a student workshop.,The CBC-generator is a three-tiered design tool, consisting of a technical, industrial and business model generator. These generators are “parameter based”; they consist of a parameter-option matrix and design canvasses. Different variants for circular components can be synthesised by filling the canvasses through systematically “mixing and matching” design options.,The developed tool does not yet support establishing causal links between “parameter-options” and identification of the most circular design variant.,The CBC-generator provides an important step to support the building industry in developing and implementing circular building components in the built environment.,Whilst existing tools and frameworks are not comprehensive, nor specifically developed for designing circular building components, the CBC-generator successfully supports the integral design of circular building components. First, it provides all the design parameters which should be considered; second, it provides extensive design options per parameter; and third, it supports systematic synthesis of design options to a cohesive and comprehensive circular design.
34 citations
21 Apr 2020
TL;DR: Using virtual reality (VR) as a design tool for sketching and simulating spatially-aware interactive spaces and playful design explorations as key opportunities is proposed.
Abstract: We propose using virtual reality (VR) as a design tool for sketching and simulating spatially-aware interactive spaces. Using VR, designers can quickly experience their envisioned spaces and interactions by simulating technologies such as motion tracking, multiple networked devices, or unusual form factors such as spherical touchscreens or bezel-less display tiles. Design ideas can be rapidly iterated without restrictions by the number, size, or shape and availability of devices or sensors in the lab. To understand the potentials and challenges of designing in VR, we conducted a user study with 12 interaction designers. As their tool, they used a custom-built virtual design environment with finger tracking and physics simulations for natural interactions with virtual devices and objects. Our study identified the designers' experience of space in relation to their own bodies and playful design explorations as key opportunities. Key challenges were the complexities of building a usable yet versatile VR-based "World Editor".
32 citations
TL;DR: It is shown that building neural networks allows one to train a surrogate model to accelerate the structural performance assessment of various possible structural forms without going through a significantly slower process of geometric form-finding.
30 citations
TL;DR: Comparisons between literature data and model show that the hydrogen system proposed model is suitable to evaluate systems with respect to energy efficiency and system performance, and could be a powerful tool for exploring control strategies and understanding the contributions to the overall energy consumption.
29 citations
TL;DR: Exoscore was effectively applied to three phases of evaluation during a testing session of a soft exoskeleton, revealing how the introduction of Exoscore toExoskeleton development will be advantageous when assessing technology acceptance of exoskeletons by older adults.
Abstract: Objective:This pilot study proposed and performs initial testing with Exoscore, a design evaluation tool to assess factors related to acceptance of exoskeleton by older adults, during the technolog...
26 citations
TL;DR: In this paper, a new modeling approach and its implementation is presented, based on kinematic enrichment, has been derived from the orientation and volume of the micro-constituents of the material, their respective constitutive laws and the orientation of interfaces between them.
20 citations
24 Mar 2020
TL;DR: An electric machine design tool for electric machines using MATLAB® in order to enable an automated machine design is presented and published under an LGPL open source license.
Abstract: The rising mobility demand of today’s society leads to an increasing strain of noise and pollutant emissions on people and the environment. An increasing environmental awareness and the scarcity of fossil fuels are increasingly placing alternative-powered vehicles in the focus of politics, research and development. Electric vehicles represent a promising solution to this problem. The electric machine represents a design control lever for the optimization of the electric powertrain with regard to efficiency, power, weight and size. Therefore, accurate and realistic machine design tools for the design of electric machines are becoming increasingly important. In this paper, the authors present an electric machine design tool for electric machines using MATLAB® in order to enable an automated machine design. The electric machine design tool is published under an LGPL open source license.
20 citations
01 Jul 2020
TL;DR: Findings include seven desirable features and three desirable characteristics for wellbeing-supportive design tools, including that these tools should satisfy the need for proof, buy-in, and tangibility.
Abstract: While research on wellbeing within Human-Computer Interaction (HCI) is an active space, a gap between research and practice persists. To tackle this, we sought to identify the practical needs of designers in taking wellbeing research into practice. We report on 15 semi-structured interviews with designers from four continents, yielding insights into design tool use generally and requirements for wellbeing design tools specifically. We then present five resulting design tool concepts, two of which were further developed into prototypes and tested in a workshop with 34 interaction design and HCI professionals. Findings include seven desirable features and three desirable characteristics for wellbeing-supportive design tools, including that these tools should satisfy the need for proof, buy-in, and tangibility. We also provide clarity around the notion of design for wellbeing and why it must be distinguished from design for positive emotions.
19 citations
TL;DR: This exhibition celebrates the 20th anniversary of the birth of T.A.M.E.RUNDONGWU, Cornell University, USA, and features work by some of the country's leading artists, including Damien Hirst, Banksy, and more.
Abstract: 3D weaving is an emerging technology for manufacturing multilayer woven textiles. In this work, we present Weavecraft: an interactive, simulation-based design tool for 3D weaving. Unlike existing textile software that uses 2D representations for design patterns, we propose a novel weave block representation that helps the user to understand 3D woven structures and to create complex multi-layered patterns. With Weavecraft, users can create blocks either from scratch or by loading traditional weaves, compose the blocks into large structures, and edit the pattern at various scales. Furthermore, users can verify the design with a physically based simulator, which predicts and visualizes the geometric structure of the woven material and reveals potential defects at an interactive rate. We demonstrate a range of results created with our tool, from simple two-layer cloth and well known 3D structures to a more sophisticated design of a 3D woven shoe, and we evaluate the effectiveness of our system via a formative user study.
TL;DR: SiQAD is introduced, a computer-aided design tool enabling the rapid design and simulation of computational assemblies of atomic silicon quantum dots and provides the first set of open design tools for the exploration of the emerging design space of Atomic silicon quantum dot circuits.
Abstract: This paper introduces SiQAD, a computer-aided design tool enabling the rapid design and simulation of computational assemblies of atomic silicon quantum dots. SiQAD consists of several simulation tools: a ground state electron configuration finder, a non-equilibrium electron dynamics simulator, and an electric potential landscape solver for the exploration of field-driven modulation with electrodes. Simulations have been compared against past experimental results to inform the electron population estimation and dynamic behavior. Fundamental logic building blocks and circuits suitable for this platform have been designed and simulated, and a clocked wire has been demonstrated. This work paves the way and provides the first set of open design tools for the exploration of the emerging design space of atomic silicon quantum dot circuits.
TL;DR: A method was developed to investigate the multi-drug concentration effect, which can be the starting point for off-the-shelf usage of the CGGs in personalized medicine.
TL;DR: In this paper, a design tool has been developed that allows researchers to directly enter physical and thermodynamic metal hydride properties into a simple sizing module that then estimates the systems parameters required to run the storage system model.
TL;DR: In this article, the authors tackle the embedded MPC design problem using a global, data-driven optimization approach and demonstrate the potential of this approach by tuning an MPC controller on two hardware platforms characterized by largely different computational capabilities.
TL;DR: A BIM-based envelope insulation optimisation design tool using a common software Revit and its extension Dynamo to find the trade-off between the total embodied energy of the insulation system and the thermal performance of the envelope by considering the material type and thickness.
Abstract: Insulation systems for the floor, roof, and external walls play a prominent role in providing a thermal barrier for the building envelope. Design decisions made for the insulation material type and thickness can alleviate potential impacts on the embodied energy and improve the building thermal performance. This design problem is often addressed using a building information modelling (BIM)-integrated optimisation approach. However, one major weakness that lies in the current studies is that BIM is merely used as the source for design parameters input. This study proposes a BIM-based envelope insulation optimisation design tool using a common software Revit and its extension Dynamo to find the trade-off between the total embodied energy of the insulation system and the thermal performance of the envelope by considering the material type and thickness. In addition, the tool also permits data visualisation in a BIM environment, and automates subsequent material library mapping and instantiates the optimal insulation designs. The framework is tested on a case study based in Sydney, Australia. By analysing sample designs from the Pareto front, it is found that slight improvement in the thermal performance (1.3399 to 1.2112 GJ/m2) would cause the embodied energy to increase by more than 50 times.
20 Oct 2020
TL;DR: SimuLearn as discussed by the authors is a data-driven method that combines finite element analysis and machine learning to create real-time (0.61 seconds) and truthful (97% accuracy) morphing material simulators.
Abstract: Morphing materials allow us to create new modalities of interaction and fabrication by leveraging the materials? dynamic behaviors. Yet, despite the ongoing rapid growth of computational tools within this realm, current developments are bottlenecked by the lack of an effective simulation method. As a result, existing design tools must trade-off between speed and accuracy to support a real-time interactive design scenario. In response, we introduce SimuLearn, a data-driven method that combines finite element analysis and machine learning to create real-time (0.61 seconds) and truthful (97% accuracy) morphing material simulators. We use mesh-like 4D printed structures to contextualize this method and prototype design tools to exemplify the design workflows and spaces enabled by a fast and accurate simulation method. Situating this work among existing literature, we believe SimuLearn is a timely addition to the HCI CAD toolbox that can enable the proliferation of morphing materials.
TL;DR: Results of the evaluation indicated that the tool is not only applicable in a design process but is also effective at enriching design concepts with human values.
Abstract: Human values play an integral role in any design that aims to improve the quality of human life. However, only a few design approaches concentrate on human values in their design, and there is even very little agreement between them in identifying human values. Considering this, we created a design tool based on a comprehensive value framework to support designers’ addressing human values in their designs. This tool intends to raise designers’ awareness about human values and provide tangible materials to facilitate the use of selected values within the design process. This article investigated whether this tool is applicable and effective to be used in design education. A quasi-experimental study with design students showed that the project groups who were supported with this tool addressed significantly stronger human values in their design concepts compared to the control groups. Results of the evaluation indicated that the tool is not only applicable in a design process but is also effective at enriching design concepts with human values.
TL;DR: Focusing to further accelerate and cheapen the customized micro-turbogenerators for low temperature applications, this work provides an outlook of possibilities of additive manufacturing methods like 3D printing of turbine nozzles and rotors that provide potential to improve the competiveness of small-scale ORC.
TL;DR: The tool developed in this study is based on learnings from numerous life cycle assessments and provides design recommendations for the improved resource efficiency of products based on product characteristics and demonstrates how different product types can become more resource-efficient and when trade-offs occur over the lifecycle of a product.
Abstract: The circular economy provides a potential solution to the take–make–dispose model of resource use that currently characterizes the economy Guidelines for the circular economy often consist of prioritized lists of measures to achieve resource efficiency However, for the purpose of designing products, such general prioritizations of measures are less useful Instead, the tool developed in this study is based on learnings from numerous life cycle assessments and provides design recommendations for the improved resource efficiency of products based on product characteristics The tool includes measures over the whole lifecycle of different products that lead to improved resource efficiency The tool also demonstrates how different product types, such as different varieties of durable and consumable products, can become more resource-efficient and when trade-offs occur over the lifecycle of a product The tool was tested in a design case where its usefulness and usability were evaluated using a comparative life cycle assessment and a questionnaire The evaluation shows the tool is informative and provides design suggestions that lead to improved resource efficiency The tool is considered usable and could be implemented in design practice
23 Mar 2020
TL;DR: A case study of a design project tasked with developing LA tools for a reading game for primary school children is presented, using the Inspiration Cards Workshop to promote meaningful teacher involvement even for participants with low background in data literacy or experience in using learning analytics.
Abstract: Despite the recognition of the need to include practitioners in the design of learning analytics (LA), especially teacher input tends to come later in the design process rather than in the definition of the initial design agenda. This paper presents a case study of a design project tasked with developing LA tools for a reading game for primary school children. Taking a co-design approach, we use the Inspiration Cards Workshop to promote meaningful teacher involvement even for participants with low background in data literacy or experience in using learning analytics. We discuss opportunities and limitations of using the Inspiration Cards Workshops methodology, and particularly Inspiration Cards as a design tool, to inform future LA design efforts.
05 Nov 2020
TL;DR: This work introduces an end-to-end tool that enables an initially flat sheet to self-transform into the input height field, and varies both the printing direction and local layer thickness; and extends the shape space to continuous-height-field surfaces without the requirement of symmetry.
Abstract: 4D printing encodes self-actuating deformation during the printing process, such that objects can be fabricated flat and then transformed into target 3D shapes. While many flattening algorithms have been introduced for 4D printing, a general method customized for FDM (Fused-Deposition Modeling) printing method is lacking. In this work, we vary both the printing direction and local layer thickness; and extend the shape space to continuous-height-field surfaces without the requirement of symmetry. We introduce an end-to-end tool that enables an initially flat sheet to self-transform into the input height field. The tool first flattens the height field into a 2D layout with stress information using a geometry-based optimization algorithm, then computes printing tool paths with a path planning algorithm. Although FDM printing is the fabrication method in this work, our approach can be applied to most extrusion-based printing methods in theory. The results exemplify how the tool broadens the capabilities of 4D printing with an expanded shape space, a low-cost but precise coloring technique, and an intuitive design process.
TL;DR: A “conceptual Tool for environmentally benign design” – concepTe – is discussed that supports designers in decision-making during the conceptual design stage, by offering environmental impact (EI) estimates of abstract solutions with associated uncertainty, for evaluation and selection of the most environmentally benign solution as concept.
Abstract: Design is a decision-making process for which knowledge is a prerequisite. Most decisions are taken at the conceptual stage and have pronounced influence on the final design. The literature, therefore, recommends the incorporation of sustainability criteria, such as environment, at this stage. Difficulty in performing life cycle assessment (LCA) due to low availability of information at the conceptual stage for evaluation and highly abstract nature of solutions, inadequate incorporation of DfE (Design for Environment) guidelines and LCA reports into the design process, and a lack of effective communication of the same to the designers for prompt decision-making are major motivations for the development of a support. This paper discusses a “conceptual Tool for environmentally benign design” – concepTe – that supports designers in decision-making during the conceptual design stage, by offering environmental impact (EI) estimates of abstract solutions with associated uncertainty, for evaluation and selection of the most environmentally benign solution as concept. The EI estimates are calculated by a module in the tool based on a proposed EI estimation method, which requires the support of a knowledge base to fetch appropriate LCA information corresponding to the design element being conceptualized. This knowledge base is grounded in the domain-agnostic SAPPhIRE model ontology, allows semantic operability of the knowledge, and offers the results to the designers in a familiar domain language to aid decision-making. A “proof of concept” of the tool is developed for application in design of building in the AEC (Architectural design, Engineering, and Construction) domain. Further, empirical studies are conducted to evaluate the effectiveness of the “proof of concept” to support decision-making and results are found favorable. The paper also discusses the future scope for further development of the tool into a holistic design decision-making platform.
TL;DR: This study aims to determine the wheelchair users’ expectations and correspondingly to offer a smart mass customization design tool which potential users are able to interact with easily, and an example of a parametric smart customization tool design are illustrated.
Abstract: Portable ramps are generally used by wheelchair users, provide temporary solution to increase accessibility in their daily lives. Portable ramps should allow for modifications in terms of weight, length, load bearing capacity, ease of handling, storage and further design parameters. Different types of portable ramps can be found in the market; however, their modifications cannot go beyond just length modification, or they allow to select just some restricted width options. However, portable ramps are quite suitable for mass customization concept which helps to satisfy customer while being involved in design step. This study aims to determine the wheelchair users’ expectations and correspondingly to offer a smart mass customization design tool which potential users are able to interact with easily. To this end, a case study is conducted with a rollable ramp which is designed and developed within the scope of 1512 – Entrepreneurship Multi-phase Programme (Teknogirisim Sermaye Destegi Programi) of The Scientific and Technological Research Council of Turkey (TUBITAK). The methodology and its implementation are described elaborately, and example of a parametric smart customization tool design are illustrated in this study. First, the preliminary study is explained briefly. Afterward, the desired modification parameters are determined with literature and patent survey as well as observation and interviews with the potential users. After systematic review and evaluation of user experiences, the model is assessed.
25 Apr 2020
TL;DR: ShrinkyKit is a material-orientation method that allows novices to easily make adaptations to everyday objects with a desktop fused deposition modeling (FDM) 3D printer and can benefit from the shrinking property of printed thermoplastic to fasten arbitrary shapes without high-fidelity manual requirements.
Abstract: With the development of 3D printing techniques, recreating household objects has become a trend. We present ShrinkyKit - a material-orientation method that allows novices to easily make adaptations to everyday objects with a desktop fused deposition modeling (FDM) 3D printer. Compared to existing methods, our method can benefit from the shrinking property of printed thermoplastic to fasten arbitrary shapes without high-fidelity manual requirements. By means of a material experiment, we construct a design tool and multiple trigger environments through a set of daily design cases, which can enable users to custom design and quickly fabricate their adaptations to reform old items or prototype assistive technologies.
TL;DR: A simple, yet novel analytical model is proposed to cater for the torque-maximising advance angle in a closed-form analytical expression, directly from the machine geometry, to provide a non-iterative design tool that speeds up the design process.
Abstract: In the design processes of Switched Reluctance (SR) Machines that operate in wide constant power speed ranges, the maximum power available at maximum speed must be evaluated for every machine candidate. This is critical to ensure compliance with the power requirement. Important parameters to include in the design routine are the duration of the energizing period and the advance of the turn-on instant, i.e., advance angle. The latter is highly related to the machine geometry and is usually evaluated through time-consuming finite-element-based iterative methods. In this article, a simple, yet novel analytical model is proposed to cater for the torque-maximising advance angle in a closed-form analytical expression, directly from the machine geometry. The goal is to provide a non-iterative design tool that speeds up the design process. Successful validations against finite element analyses and experimental results on an SR machine prototype are reported. The main outcome of this article is shown by the improvement in computation time, without any significant loss of accuracy.
16 Nov 2020
TL;DR: A framework to optimize prognostic systems selection and positioning during the early stages of a complex system design and shows how the proposed framework can be used to support engineering design teams in making better informed decisions.
Abstract: Prognostics and Health Management (PHM) systems are usually only considered and set up in the late stage of design or even during the system’s lifetime, after the major design decision have been made. However, considering the PHM system’s impact on the system failure probabilities can benefit the system design early on and subsequently reduce costs. The identification of failure paths in the early phases of engineering design can guide the designer toward a safer, more reliable and cost-efficient design. Several functional failure modeling methods have been developed recently. One of their advantages is to allow for risk assessment in the early stages of the design. Risk and reliability functional failure analysis methods currently developed do not explicitly model the PHM equipment used to identify and prevent potential system failures. This paper proposes a framework to optimize prognostic systems selection and positioning during the early stages of a complex system design. A Bayesian network, incorporating the PHM systems, is used to analyze the functional model and failure propagation. The algorithm developed within the proposed framework returns the optimized placement of PHM hardware in the complex system, allowing the designer to evaluate the need for system improvement. A design tool was developed to automatically apply the proposed method. A generic pressurized water nuclear reactor primary coolant loop system is used to present a case study illustrating the proposed framework. The results obtained for this particular case study demonstrate the promise of the method introduced in this paper. The case study notably exhibits how the proposed framework can be used to support engineering design teams in making better informed decisions early in the design phase.
TL;DR: The technical core of the approach is an optimization-driven design tool that combines sensitivity analysis for optimization with the Harmonic Balance Method for simulation that establishes dynamic force equilibrium in the frequency domain.
Abstract: We present a computational method for designing compliant mechanical systems that exhibit large-amplitude oscillations. The technical core of our approach is an optimization-driven design tool that combines sensitivity analysis for optimization with the Harmonic Balance Method for simulation. By establishing dynamic force equilibrium in the frequency domain, our formulation avoids the major limitations of existing alternatives: it handles nonlinear forces, side-steps any transient process, and automatically produces periodic solutions. We introduce design objectives for amplitude optimization and trajectory matching that enable intuitive high-level authoring of large-amplitude motions. Our method can be applied to many types of mechanical systems, which we demonstrate through a set of examples involving compliant mechanisms, flexible rod networks, elastic thin shell models, and multi-material solids. We further validate our approach by manufacturing and evaluating several physical prototypes.
TL;DR: The study concludes that IEs hold promising potentials where performative design actions at conceptual, spatial and architectural domains can take place interactively and simultaneously with immediate feedback.
Abstract: In performative architectural design, daylighting is a crucial design consideration; however, the evaluation of daylighting in the design process can be challenging. Immersive environments (IEs) can create a dynamic, multi-sensory, first-person view in computer-generated environments, and can improve designers' visual perception and awareness during performative design processes. This research addresses the need for interactive and integrated design tools for IEs toward better-performing architectural solutions in terms of daylighting illumination. In this context, building information modeling and performance simulations are identified as critical technologies to be integrated into performative architectural design.,This research adopts a design science research (DSR) methodology involving an iterative process of development, validation and improvement of a novel and immersive tool, HoloArch, that supports design development during daylighting-informed design processes. HoloArch was implemented in a game engine during a spiral software development process. HoloArch allows users to interact with, visualize, modify and explore architectural models. The evaluation is performed in two workshops and a user study. A hybrid approach that combines qualitative and quantitative data collection was adopted for evaluation. Qualitative data analyses involve interviews, while quantitative data analyses involve both daylighting simulations and questionnaires (e.g. technology acceptance model (TAM), presence and system usability scale (SUS)).,According to the questionnaire results, HoloArch had 92/100 for SUS, a mean value of 120.4 for presence questionnaire (PQ) and 9.4/10 for TAM. According to the simulation results, all participants improved the given building's daylighting performance using HoloArch. The interviews also indicated that HoloArch is an effective design tool in terms of augmented perception, continuous design processes, performative daylighting design and model interaction. However, challenges still remain regarding the complete integration of tools and simultaneous simulation visualization. The study concludes that IEs hold promising potentials where performative design actions at conceptual, spatial and architectural domains can take place interactively and simultaneously with immediate feedback.,The research integrates building information modeling (BIM), performative daylighting simulations and IEs in an interactive environment for the identification of potentials and limitations in performative architectural design. Different from existing immersive tools for architecture, HoloArch offers a continuous bidirectional workflow between BIM tools and IEs.
06 Sep 2020
TL;DR: A case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner, that uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes.
Abstract: This paper reflects on a case study of a user-centred concept development process for a Machine Learning (ML) based design tool, conducted at an industry partner. The resulting concept uses ML to match graphical user interface elements in sketches on paper to their digital counterparts to create consistent wireframes. A user study (N=20) with a working prototype shows that this concept is preferred by designers, compared to the previous manual procedure. Reflecting on our process and findings we discuss lessons learned for developing ML tools that respect practitioners' needs and practices.