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Our modern agricultural sector faces an exceptional set of challenges, from misalignment between solutions and actual use-cases, to cultural and social barriers that hinder inclusive innovation. Inclusive innovation is a strategy that actively involves a diverse range of  stakeholders in the design, development, and implementation of solutions to ensure they are technically viable,  socially acceptable, and practically usable. Herein, we propose an inclusive innovation approach to bridge the gaps between  entrepreneurs, customers, users, and the use-cases they serve. By fostering more intentional, holistic, and inclusive technology development strategies, inclusive innovation can ensure that solutions are more valuable and applicable to the complexity of agricultural businesses.

A more equal and sustainable digital future depends on the inclusion of digitally marginalized communities in the socioeconomic opportunities created by digital technologies. Digital inclusion is a complex process that involves all stages of digital innovation, including development, adoption, use, and maintenance. However, past research has largely approached digital inclusion as an adoption and use challenge. In this paper, we develop a view of digital inclusion as a design challenge. We focus on the activities of requirements elicitation (RE) as a critical element of the design process and draw on a design-based interpretive study involving the design of two mobile apps for agricultural communities in India and China. We analyze how the conditions of digital inequality underlying the digital marginalization of these communities affect their sensemaking as they participate in RE activities. We conceptualize these challenges as limitations on the emergence of technology affordances. Our findings reveal various shifts, or translations, in the emerging affordances, which enabled the RE activities to be more generative and consequently more inclusive. These affordance translations manifested along three main dimensions: specificity, temporality, and collectivity. We discuss the implications of these findings for the inclusion of marginalized communities in the design of new technologies. [ABSTRACT FROM AUTHOR]

Collaborative approaches to destination design require conscious and reflexive stakeholder involvement in activities and decision making. Design science studies such participatory processes by observing design teams in practice. From these observations, scientists have identified design strategies and processes that design teams use to support their work in identifying problems and developing solutions. Observing design processes in tourism destinations provides an opportunity to identify successful co-design strategies for destination design. This study presents three key co-design strategies based on data collected from five living labs in five destinations. Each co-design strategy is presented with a recommended use, suggestions for stakeholder involvement, and activities to develop solutions efficiently and effectively with the available resources. Together, the strategies provide a framework to optimise decision-making in relation to shaping destination design processes, and to validate processes and outcomes. [ABSTRACT FROM AUTHOR]

ABSTRACT Decomposition is a critical enabler of complex system development, as it enables both task specialization and efficiency through parallel work. The process of decomposing involves partitioning system parameters into tightly coupled modules and managing any cross‐module coupling by designing passive interfaces or through active coordination. A rich literature has developed algorithms and tools to support this process. However, we contend that this view has placed too much emphasis on module selection, and not enough on the interaction with interface design. This perspective has significant implications for lifecycle costs and development time. To that end, this study explores how earlier consideration of interface design can create more valuable options to better navigate performance, cost, and schedule tradeoffs. Specifically, through an abstract simulation experiment, we demonstrate that (1) a sequential approach that first selects modules and then designs interfaces to support those modules, yields lower performance than an integrated approach that considers modules and supporting interfaces simultaneously; and (2) this result is even stronger when schedule and cost are considered as part of the evaluation. In other words, an integrated approach provides more options for project managers seeking to navigate the performance‐cost‐schedule tradeoff known as the golden triangle. These results emphasize the need for a decomposition aid that adopts a holistic view of the optimization problem, accounting for interface creation, intra‐organization collaboration, and valuing nonperformance measures of effectiveness. [ABSTRACT FROM AUTHOR]

Facing the challenges posed by increasingly complex, dynamic, and unforeseen requirements, the design process is grappling with the critical issue of ensuring sustained product satisfaction amid changing demands. This paper introduces an approach for evaluating design adaptability, considering potential future requirements. Entropy serves as a crucial indicator to quantify design effort and the Markov process is employed to simulate potential requirement changes. The information contents of design requirements and design solutions are defined based on information entropy theory, and the design adaptability of a design candidate is evaluated by calculating the extra design effort for satisfying the design requirements, which is the difference in information content between the design candidate and design requirements. Moreover, a simulation method for requirement evolution is proposed, which integrates information entropy theory and the Markov process to accommodate potential future requirements. The general design adaptability of design solutions is then calculated based on conditional entropy, taking into account the evolving design requirements. Finally, the effectiveness of the proposed approach is validated through a case study involving the design and evaluation of a hybrid additive manufacturing device. [ABSTRACT FROM AUTHOR]

The integration of novel technologies into existing product architectures poses significant challenges, especially in managing the associated technical risks that affect system functionality and reliability. Traditional methods often struggle with the unpredictability and complexity of field effects due to technological integration. To address these challenges, this study introduces a novel DSM (Design Structure Matrix)-based method that accurately accounts for and mitigates both first-order and higher-order field effects. By employing the inverse-square law, our method quantifies the attenuation of field effects with distance, thereby enhancing the precision of impact assessments across the system architecture. This approach is substantiated through a case study involving the introduction of a steer-by-wire (SbW) system in automotive design. The case study highlights the method's effectiveness in identifying and managing potential integration points for new technologies, offering a systematic framework for minimizing risk and enhancing system design in automotive engineering. The success of this method in the case study provides practical insights into the design around the impact of field effects, emphasizing its applicability and value in real-world engineering scenarios. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) has the potential to revolutionize product design, and designers need to know how to best leverage its capabilities. Based on the concept-knowledge (C-K) theory, a set of inspirational stimuli (IS) for the design of AI-powered products (ISfAI) has been developed to contribute to the conceptual design stage. We extracted 40 ISs from 1755 granted AI patents using a five-step process and validated their feasibility through a controlled experiment using three design aids: brainstorming, ISfAI sheet, and ISfAI cards. Results suggest that the ISfAI cards can serve as a creative tool to enabling practitioners to generate a greater range of high-quality AI-powered ideas, particularly in terms of novelty, creativity, elaboration, and flexibility. This study has practical implications for developing AI-powered products and services. [ABSTRACT FROM AUTHOR]

This study investigates the effectiveness of Text-to-image (T2I) models in assisting industrial designers with the visualization of product concepts. Using action research and a reflection-in-action, this research conducts a series of experiments utilizing Stable Diffusion for generating chair concepts. The research findings are positioned within an existing framework of computational tools usage, and assess the quality of the generated images in supporting industrial design activities during the define and develop phases of the design process. While T2I models provide competent support to ambiguity and sketch improvement, their efficacy in generating coherent solutions for further development is limited. This study provides guidelines for the effective application of T2I models in industrial design practice. It discusses the T2I models' suitability for specific design activities, addresses associated risks, and proposes a taxonomy of prompt modifiers that ensures a closer match between input prompts and generated product concepts. [ABSTRACT FROM AUTHOR]

In the past decade, there has been an increasing recognition of the role of computational design optimization in early-stage performance-based architectural design exploration. However, it remains challenging for designers to apply such optimization-based design explorations in practice. To address this issue, this paper introduces a design tool, called EvoMass, and an associated design method that facilitates design exploration for building massing typologies in performance-based design tasks. EvoMass is capable of offering architects design options reflecting performance-related building massing typologies for the design task, without necessitating advanced computational design skills. More importantly, it can provide architects with insights into the underlying performance implications, thereby enhancing early-stage performance-based design exploration. EvoMass and its associated design method overcome the limitation in the conventional typology-first-optimization-second design procedure adopted by most existing tools, and it promotes a typology-oriented design exploration method of using computational optimization in performance-based architectural design. To demonstrate the efficacy of EvoMass, case studies derived from architectural design studio tasks, incorporating daylighting, solar exposure, and subjective design intents, and the result of a user survey are presented, which highlights how EvoMass and the performance-based design optimization and exploration can enable architects to achieve a more performance-aware design. [ABSTRACT FROM AUTHOR]

Testing products during the design process can help design teams anticipate user needs and predict a positive emotional response. Emerging technologies, e.g., Virtual Reality (VR), allow designers to test products in a more sophisticated manner alongside traditional approaches like sketches, photographs or physical prototypes. In this paper, we present the results of a study conducted to evaluate the feasibility of seven visualization techniques for product assessment within the framework of emotional design, suggesting that the user's perception depends on the visualization technique used to present the product. This research provides recommendations for product evaluation using physical, virtual, or conceptual prototypes to analyze the user's emotional response throughout 19 parameters. Our results indicate that the use of virtual environments, including VR and VR with Passive Haptics (VRPH), can facilitate user participation in the design process, although these visualization techniques may also exaggerate the emotions perceived by users. In this context, VRPH tends to overstate the tactile perception of the product. Additionally, our results reveal that both virtual and conceptual environments can amplify a user's likelihood to purchase a product. However, the latter setting could also potentially lead to confusion among users in regards to their perception of the product's weight, dimensions, and cost. Based on these findings, the authors encourage industrial designers to develop new methodologies to optimize design process and minimize costs. [ABSTRACT FROM AUTHOR]

Scholars studying engineering design have long identified three essential, interacting elements: the artifact being designed, the actors designing it, and the actions they take to do so. However, concerns about tractability and the effort required to capture data on all three have often led to studies examining only one or two at a time, potentially obscuring important (and explanatory) dynamics. Addressing this gap, Computer-Aided Design (CAD) platforms can observe all three elements simultaneously, unobtrusively, over the entire duration of the design process, and across many different contexts. Whether the research is inductive, abductive, or deductive, these platforms can improve a study’s internal, external, construct, and face validity if wielded wisely. As such, we advocate CAD as the central research instrument to study micro-level engineering design. [ABSTRACT FROM AUTHOR]

The objective of this research is to understand how different representations of requirements influence idea generation in terms of quantity, addressment, novelty, and variety of conceptual sketches. Requirements are testable statements of need, desires, and wishes of the stakeholders that are used by engineers to frame the problem. Project success is highly dependent on well-defined requirements documents. An experimental study was conducted with 52 fourth-year mechanical engineering undergraduate students. Two design problems are used with three different representations: a problem statement with embedded requirements, a problem statement and a traditional requirement list, and a problem statement with contextualized scrum stories. Each student addressed both design problems with two different representations of requirements. It was found that the use of contextualized scrum story representations significantly affected the novelty of solution fragments and addressment of requirements, while no significant change in variety and quantity was seen. Finally, it was found that quantity is not directly related to the number of requirements addressed in the sketches. [ABSTRACT FROM AUTHOR]

Design thinking is a way to create solid designs that responds to design problems and solve it in a creative and suitable way. However, it is not widely recognized in architectural education pedagogy in Egypt for undergraduate. Despite being very efficient in several business avenues but not in architectural pedagogy. So, this paper aims to spot the light on design thinking and the possibility of its usage in design process to help students have a successful architectural project that solves the design problems and face the site challenges through the use of visualization design thinking tool. Where students face a challenge in translating the verbal language of their collected data in the research phase to the architectural language in the schematic phase. There is a recognized gap between the research students perform in the beginning of design project and the schematic designs that students deliver. The study proposes the possibility of using visualization as a tool for design thinking to have a sufficient and successful schematic design phase. The study will explain how students could apply design thinking in architectural design to benefit from their research phase in their schematic design. Moreover, come up with solutions and variable ideas using the tools of deign thinking as a way for helping in delivering design problem solution and have a more effective schematic design. At the end of the research paper the study concludes how the students can use visualization tool to translate the verbal language to architectural language and the possibility for using design thinking. That to help students realize the importance of analysis phase in synthesis. The research follows descriptive method and quantitative analysis where first the descriptive method is used in illustrating design process and design thinking. Then the quantitative analysis in the experiment is done followed by a survey to prove research problem and help in proposing the solution. [ABSTRACT FROM AUTHOR]

This research explores the pivotal role of Building Information Modeling (BIM) technology in revolutionizing the design and construction of prefabricated buildings. It highlights the benefits of BIM-enabled design processes, including improved coordination and efficiency, while addressing challenges in integrating BIM with prefabricated elements. The study proposes artificial intelligence (AI) solutions to enhance architectural detailing, optimize workflows, and facilitate human–robot collaboration. Using autoethnographic methods, the research refines BIM-forward design through thematic analysis and technology gap (TG) assessments. It advocates for a comprehensive technology roadmap that emphasizes BIM libraries, external data sources, and the transition to a multi-dimensional BIM environment. This research contributes valuable insights to advance BIM practices in prefabricated building construction and offers a strategic framework to bridge existing TGs, enabling seamless integration of BIM and AI in future practices. [ABSTRACT FROM AUTHOR]

Recently, data utilisation and digital service offerings are becoming primary methods of value creation. In this context, designing and offering 'digital service systems' (DSSs) that integrate physical elements (e.g., products, facilities, and physical infrastructure) and digital service elements (e.g., digital services, data, apps, and cloud systems) are important to create sustainable social values and achieve the United Nations' Sustainable Development Goals 9 and 11. In this study, we propose a novel method for designing a DSS that simultaneously consider three system domains, namely social, physical, and digital domains. Specifically, we developed design models and a design process to support the DSS design. The proposed method was applied to an actual DSS design case. The results revealed that the proposed method could effectively consider components in the social system domain in addition to those in the digital and physical system domains in the DSS design. In particular, we identified that the proposed design models were useful for enabling the systematic management of a long-term collaborative design process among various stakeholders. They also enabled value-oriented thinking in DSS design and encouraged designers to consider different types of value in the DSS. [ABSTRACT FROM AUTHOR]

Despite the widely recognized potential of product‐as‐a‐service (PaaS) business models to contribute to the circular economy, many industrial case studies have reported that several systemic factors tend to hinder product manufacturers from effectively designing such solutions. More specifically, factors such as linear value chains, organizational structures, and market and financial conditions tend to restrict the freedom of product manufacturers to design circular PaaS solutions effectively. In this article, we take a novel approach to advance the body of knowledge concerning the interactions between policies and circular PaaS designing. We first explore the potential of the existing policy landscape to support designing for a circular economy in the manufacturing industry. The results suggest that the existing policy landscape is primarily focused on regulating product design outcomes and is thus deemed unsuitable for supporting circular PaaS designing. Subsequently, we investigate the literature to uncover how internal and external systemic factors may hinder the implementation of the key facets of circular PaaS designing in the manufacturing industry. Based on these findings, we propose a prospective policy framework that includes a mix of complementary policy interventions that systemically target the identified internal and external factors to support the implementation of the key facets of circular PaaS designing. [ABSTRACT FROM AUTHOR]

Engineering designers are tasked with complex problems necessitating the use and development of various supports for navigating complexity. Prescriptive design process models are one such tool. However, little research has explored how engineering designers perceive these models' recommendations for engagement in design work. In this exploratory study, we analyzed data from individual semi-structured interviews with 18 mechanical engineering students to identify participant perceptions of design process models. As many design process model visualizations lack explicit attention to some social and contextual dimensions, we sought to compare perceptions among two models drawn from engineering texts and one model that was developed with the intent to emphasize social and contextual dimensions. We identified perceptions of the recommendations from the design process models related to starting and moving through a design process, gathering information, prototyping, evaluating or testing, and what they should consider. Participant perceptions across the three process models suggest different design process models make perceptions of certain recommendations more salient than others. However, participant perceptions also varied for the same process model. We suggest several implications for design education and training based on participant perceptions of the process models, particularly the importance of leveraging multiple design process models. The comprehensive descriptions of participant perceptions provide a foundation for further investigations bridging designers' perceptions to intent, behavior, and, ultimately, design outcomes. [ABSTRACT FROM AUTHOR]

Resource management in engineering design seeks to optimally allocate while maximizing the performance metrics of the final design. Bayesian optimization (BO) is an efficient design framework that judiciously allocates resources through heuristic-based searches, aiming to identify the optimal design region with minimal experiments. Upon recommending a series of experiments or tasks, the framework anticipates their completion to augment its knowledge repository, subsequently guiding its decisions toward the most favorable next steps. However, when confronted with time constraints or other resource challenges, bottlenecks can hinder the traditional BO's ability to assimilate knowledge and allocate resources with efficiency. In this work, we introduce an asynchronous learning framework designed to utilize idle periods between experiments. This model adeptly allocates resources, capitalizing on lower fidelity experiments to gather comprehensive insights about the target objective function. Such an approach ensures that the system progresses uninhibited by the outcomes of prior experiments, as it provisionally relies on anticipated results as stand-ins for actual outcomes. We initiate our exploration by addressing a basic problem, contrasting the efficacy of asynchronous learning against traditional synchronous multi-fidelity BO. We then employ this method to a practical challenge: optimizing a specific mechanical characteristic of a dual-phase steel. [ABSTRACT FROM AUTHOR]

Copyright of Egyptian International Journal of Engineering Sciences & Technology (EIJEST) is the property of Egyptian International Journal of Engineering Sciences & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the past decade, there has been an increasing recognition of the role of computational design optimization in early-stage performance-based architectural design exploration. However, it remains challenging for designers to apply such optimization-based design explorations in practice. To address this issue, this paper introduces a design tool, called EvoMass, and an associated design method that facilitates design exploration for building massing typologies in performance-based design tasks. EvoMass is capable of offering architects design options reflecting performance-related building massing typologies for the design task, without necessitating advanced computational design skills. More importantly, it can provide architects with insights into the underlying performance implications, thereby enhancing early-stage performance-based design exploration. EvoMass and its associated design method overcome the limitation in the conventional typology-first-optimization-second design procedure adopted by most existing tools, and it promotes a typology-oriented design exploration method of using computational optimization in performance-based architectural design. To demonstrate the efficacy of EvoMass, case studies derived from architectural design studio tasks, incorporating daylighting, solar exposure, and subjective design intents, and the result of a user survey are presented, which highlights how EvoMass and the performance-based design optimization and exploration can enable architects to achieve a more performance-aware design.

Several efforts have been undertaken to define generic guidelines that address specific gaps in the ‘build’ activity of Design Science Research (DSR) artifacts, i.e., constructs, models, methods and frameworks, and instantiations. Unfortunately, explicit guidance is still lacking on how to coherently operationalize such guidelines when building a DSR artifact, particularly a framework. In addition, there is no an elaborate procedure or logical thinking pattern that can be followed when building a DSR artifact, particularly a framework for solving an unstructured problem. Consequently, structural compositions of some artifacts insufficiently subscribe to several general design guidelines, which often hinders the artifacts from fulfilling their intended purposes. To address this gap, Soft Systems Methodology can be leveraged during the design cycle of a DSR initiative, to elaborate the ‘build’ activity and simultaneously support the coherent operationalization of existing general design guidelines. This is demonstrated herein by presenting a Technique of Building Frameworks for guiding Interventions against unstructured problems (TBUFI). From 2011 to 2023, TBUFI has undergone 11 evaluation iterations, which involved: (a) using it to support the building of frameworks for guiding digital interventions in ten research studies; and (b) engaging information systems specialists in a group walkthrough meeting to deliberate its structural composition. Evaluation iterations since 2011 (including feedback from information systems specialists) confirm TBUFI’s ability to successfully guide the design of frameworks that can direct interventions against complex and unstructured problems, by making their ‘build’ activity more elaborate, coherent, and aligned with existing general design guidelines. Thus, TBUFI can be perceived as a supplement for the ‘build’ activity in DSR.

In the current data-rich environment, valorizing of data has become a common task in data science and requires the design of a statistical model to transform input data into a desirable output. The literature in data science regarding the design of new models is abundant, while in parallel, other streams of literature such as epistemology of science, has shown the relevance of anomalies in model design processes. Anomalies are to be understood as unexpected observations in data, an historical example being the discovery of Mercury based on its famous anomalous precession perihelion. Therefore, this paper addresses the various design processes in data science and their relationships to anomalies. To do so, we conceptualize what designing a data science model means, and we derive three design processes based on the latest theories in engineering design. This allows us to formulate assumptions regarding the relationships between each design process and anomalies, which we test with several case studies. Notably, three processes for the design of models in data science are identified and, for each of them, the following information is provided: (1) the various knowledge leveraged and generated and (2) the specific relations with anomalies. From a theoretical standpoint, this work is one of the first applications of design methods in data science. This work paves the way for more research at the intersection of engineering design and data science, which could enrich both fields. [ABSTRACT FROM AUTHOR]

This text was taken from a notebook by Francisco Barata dated July 2012. According to Mariana Sá, who is carrying out doctoral research on the work of the architect who died prematurely in 2018, these are notes for a lecture that were part of the material that Barata was accumulating and elaborating in view of the Prova de Agregação at Faup, an academic task that was actually carried out in February 2016. It is therefore not a finished text, with defined terms and program, but rather a text under construction from which inserts and notes have been omitted, windows open to hypothetical developments, which it might be interesting to analyse elsewhere but which in this publication would make reading and understanding the underlying concepts difficult and not very fluent. Having said this necessary premise, it is important to add that this lecture, despite the freedom of concatenation of thoughts typical of an outline in search of a definitive form, is structured around three clearly identified concepts: on the didactics of architecture, on drawing, on the design process. As a transversal background to the three concepts and the reflection that connects them, there is a central question: what path should Porto’s school take, his school on the model and experience of which he reflects in the text, concluding, in the footsteps of Fernando Távora’s teaching, that the task of every “good professor is to be able to select and transmit what remains of ancient knowledge, to create restlessness, to open debates, new doors, new paths”.

Understanding the reasoning in the design process is essential to comprehend design practice and promote students' learning. Followingly, to effectively support students through the design process, it is crucial to pay attention to their reasoning. Therefore, in this study, we have built a model for students' reasoning in the design process in technology education to be used as a utility in further research. Here, reasoning is viewed as the process of using premises to reach a conclusion. Drawing from philosophy of technology and philosophy of technology education, the model introduces relevant concepts that are particularly useful in technology education. The model incorporates two types of reasoning: means-end reasoning and cause-effect reasoning. Means-end reasoning involves identifying actions to achieve a desired end. While cause-effect reasoning leads to conclusions in the form of beliefs about causes, effects, consequences, and side-effects, which is important when predicting and evaluating in the design process. The model highlights the interplay between these two types of reasoning, where students would constantly move between them in the design process. The model involves a holistic view of the reasoning and the design process, rather than taking a purely instrumental approach. That the model fuse two types of reasoning, makes it applicable at any point in the design process and across different contexts in technology education. Overall, the model provides a comprehensive view of reasoning in the design process in technology education. [ABSTRACT FROM AUTHOR]

Academic design pedagogy in the early stages of design is crucial and complicated. The complicated stems from the diverse aspect of architectural design. The world of values, opinions, and ideas begins the architectural design process, and junior architecture students strive to express their ideas in the language of architectural forms. Transforming and actually translating ideas into form is one of the biggest challenges that juniors face. According to the experience of preliminary design studio 3, the concept phase as a translation or transition stage from idea to form and flexibility as a basic approach were investigated in this phase. In this research, three methods used by junior architecture students in three design studios were compared with each other. The results of the pretest–posttest methodology demonstrated that only 15% of students in Studio A, who utilized the two-step process (idea-form) were able to create the desired form, while 55% of students in Studio B (idea-concept-form) and 95% of students in Studio C (idea-flexibility in concept-form) successfully achieved it. The comparison of the three processes shows that the three-phases process, which used the flexibility approach in the concept phase to develop the idea and create the form, is the most efficient method in the early stages of architectural design for architectural juniors. [ABSTRACT FROM AUTHOR]

This paper proposes a general kinematic-based design method for optimizing the side-mounted leg mechanism of BJTUBOT, a novel multi-mission quadrupedal Earth rover. The focus issue lies in designing structural improvements that not only enhance its kinematic performance but also prevent singularity, all while meeting the demands for miniaturization and lightweight without deviating from the original leg design concept. To solve this issue, a novel 3-UPRU&PPRR mechanism is envisaged based on the original configuration. Around the unique structural features of this mechanism, its inverse kinematic solution and Jacobian matrix are calculated, and a coupled motion relation between a key limb and its moving platform (MP) is presented. In order to achieve singularity avoidance, some typical singularity configurations based on line geometry analysis are given. In accordance with this result, an initial configuration for multi-objective dimensional optimization is presented. To further enhance its kinematic performance, we introduce the use of the GCI (global conditional index) performance at extreme positions as one of the optimization criteria based on the NSGA-II (Non-dominated Sorting Genetic Algorithm) algorithm, and directly measuring the crowding distance using the position vector of the U (universal) joints on the moving platform. This optimized mechanism prototype is demonstrated in a single-leg Adams simulation, which exhibits good velocity mapping effects and displacement accuracy. Finally, a new BJTUBOT prototype was constructed based on the optimized leg, and its flexibility was tested with various classical forms of motions. The workflow in this paper significantly improves the leg performance under the current design needs. [ABSTRACT FROM AUTHOR]

Structural design synthesis considering discrete elements can be formulated as a sequential decision process solved using deep reinforcement learning, as shown in prior work. By modeling structural design synthesis as a Markov decision process (MDP), the states correspond to specific structural designs, the discrete actions correspond to specific design alterations, and the rewards are related to the improvement in the altered design's performance with respect to the design objective and specified constraints. Here, the MDP action definition is extended by integrating parametric design grammars that further enable the design agent to not only alter a given structural design's topology, but also its element parameters. In considering topological and parametric actions, both the dimensionality of the state and action space and the diversity of the action types available to the agent in each state significantly increase, making the overall MDP learning task more challenging. Hence, this paper also addresses discrete design synthesis problems with large state and action spaces by significantly extending the network architecture. Specifically, a hierarchical-inspired deep neural network architecture is developed to allow the agent to learn the type of action, topological or parametric, to apply, thus reducing the complexity of possible action choices in a given state. This extended framework is applied to the design synthesis of planar structures considering both discrete elements and cross-sectional areas, and it is observed to adeptly learn policies that synthesize high performing design solutions. [ABSTRACT FROM AUTHOR]

In the engineering design process, design fixation significantly constrains the diversity of design solutions. Numerous studies have aimed to mitigate design fixation, yet determining its occurrence in real-time remains a challenge. This research seeks to systematically identify the emergence of fixation through the behavior of novice designers in the early stages of the design process. We conducted a laboratory study, involving 50 novice designers possessing engineering drafting skills. Their design processes were monitored via video cameras, with both their design solutions and physical behaviors recorded. Subsequently, expert evaluators categorized design solutions into three types: Fixation, Low-quality, and Innovative. We manually recorded the names and durations of 31 different physical behaviors observed in the videos, which were then coded and filtered. Meanwhile, we propose a filtering and calculation method for the behavior in the design process. From this, four fixation behaviors were identified using variance analysis (ANOVA): Touch Mouth (TM), Touch Head (TH), Rest Head in Hands (RH), and Hold Face in Hands (HF). Our findings suggest that continuous interaction between the hand and head, mouth, or face can be indicative of a fixation state. Finally, we developed a Behavior-Fixation model based on the Support Vector Machine (SVM) for stage fixation judgment tasks, achieving an accuracy rate of 85.6%. This machine-learning model outperforms manual assessment in speed and accuracy. Overall, our study offers promising prospects for assisting designers in recognizing and avoiding design fixation. These findings, coupled with our proposed computational techniques, provide valuable insights for the development of automated and intelligent design innovation systems. [ABSTRACT FROM AUTHOR]

This applied research proposes a solution to the static government design process for Thai healthcare architecture to better serve the needs of its elderly society. In its place, a novel real-time design process, termed the Digital Twin Immersive Design Process (DT-IDP), repurposes aspects of digital twin and virtual reality technologies into a 'unitary' immersive design system. This system accesses 'experiential' user-centered data, helping enhance the design of Thai healthcare space beyond a standardized government response. This text builds a rationale for departing from the current design process by describing the formation and advantages of the DT-IDP process. To test its credibility, the DT-IDP process is used to build and compare two digital versions of an existing healthcare space. In these spaces, participants are immersed (elderly patients n = 30; nursing staff n = 5; government healthcare architects n = 5) to assess visitor experiences based on daylighting, artificial lighting, and views of nature. Following immersion, government healthcare architects are interviewed in-depth to evaluate the process's efficacy and their willingness to adopt it. Results confirm the potential for this process to capture 'user-centered' insights, otherwise unobtainable without immersion. Consequently, healthcare architects express a unanimous preference for DT-IDP, acknowledging its unique capacity to bridge a market gap through an experiential component that could better assist them in creating a superior final product. Ultimately, they assert that demand for these features could have a disruptive impact to the current healthcare design process, helping to re-envisage the design of future Thai healthcare space. [ABSTRACT FROM AUTHOR]

The uptake of a circular economy (CE) in the building sector is challenging, primarily due to the complexity associated with the design process and the dynamic interaction among architects, engineers, and construction (AEC) stakeholders. The standard and typical design process and construction methods raise concerns about building life cycles. Buildings should not only fulfill current needs, but one also needs to consider how they will function in the future and throughout their lifetime. To address these complexities, early planning is required to guide designers in holistically applying systems thinking to deliver CE outcomes. This paper outlines a critical review of CE implementation in buildings, with a proposed trifecta of approaches that significantly contribute to the development of circular buildings (CBs). The findings outline a proposed visualized framework with a conceptual formula that integrates CE design strategies to simplify and enhance AEC stakeholders' perception of the circularity sequence in buildings. By strategically integrating loop-based strategies with the value retention process (VRP) and design for X (DFX) strategies, along with efficient assessment tools and technologies, it becomes feasible to embrace a CE during the design phase. The outcome of this review informs AEC stakeholders to systematically and strategically integrate the critical dimensions of a CE throughout the building life cycle, striking a balance between environmental concern, economic value, and future needs. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper discusses the use of a card-game design task to teach the implementation of Universal Design (UD) principles to undergraduate students. The underlying assumption is that in order to implement UD methods, designers need to select the right tools to gather information and they need to understand the theoretical basis of the tools chosen. The aim is to bridge the theory/practice gap by getting students to actively consider how each aspect of their design research contribute to the implementation of the theory. Work by Herriott (2023) shows that design researchers are not consistent in explaining or making transparent the underlying reasons for why a UD tool was chosen. UD theory is also somewhat weak on the topic of implementation, a necessary element of design theory according to Jones & Gregor (2007). The didactic purpose of the card-game design was to encourage students to become conscious of the reason they chose the design tools eventually used in their course project. It was also to examine how, from a UD theory standpoint, implementation of UD could be enhanced since this aspect of UD theory appears to be in need of reinforcement. The students developed in class a card-game which could be used to create and advance their designs and also to retrospectively analyse them upon completion. The in-class discussion of what was required for a game also focused students' attention to the elements of UD and their possible implementation. The work shows that more time is needed to explain game design; mapping of UD concept to game affordances is necessary; the course learning outcomes require addition of demonstration of theory-to-implementation. [ABSTRACT FROM AUTHOR]

Learning to reason in the design process is enclosed in the process of learning to design. Hence, in this study, we explore teacher-student interactions with the aim of describing teachers' support strategies in relation to enacted reasoning in the design process in secondary school technology education in Sweden. The study deploys social cultural theory as a lens, with a focus on scaffolding means and intentions of the teacher. Relevant reasoning in the design process is theoretically framed as means-end reasoning and cause-effect reasoning. Empirical data was collected through three classroom observations with three different Swedish secondary school technology teachers, with subsequent interviews with the teachers using stimulated recall. During the observations the students were engage in different design processes. The data was analysed using thematic analysis, where themes as strategies were constructed for each reasoning type from patterns of meaning in teachers' scaffolding means and intentions. For each reasoning type, teachers employed strategies of decreasing control and increasing control. However, the enactment of these strategies differed in scaffolding intentions and means in relation to what reasoning was verbally enacted. Our findings indicate that teacher-student interactions within the design process in technology education classrooms hold significant meaning and value. This has implications for both teaching and learning in the field. [ABSTRACT FROM AUTHOR]

The integration of robots into classroom settings has a long-established presence in both general and vocational education. With the developments in Industry 4.0, the importance of robotics in schools has also increased, which has become clear through various funding programmes. Especially in general education, there is often a focus on utilising robots as a tool to provide learners with an interactive learning experience centred around feedback. This approach effectively connects theoretical concepts from the curriculum to practical real-world applications through the utilisation of robots. However, the emphasis often overlooks the robots themselves and their design elements. It is important to note that the possibility for learners to design robots for self-set goals is often limited by this traditional approach. This article introduces a methodological approach that promotes a design-oriented perspective within robotics in education. In addition to outlining the methodology, the article also presents initial examples on the implementation of this design-oriented approach in training future technology teachers. [ABSTRACT FROM AUTHOR]

The significant influence of residential spaces on quality of life and social growth has constantly encouraged a desire for design quality in housing. This study delves into the complicated aspect of well-designed housing, driven by the need for liveable, eco-friendly, and aesthetically pleasing habitats. The study aims to analyze numerous aspects of housing quality using a systematic approach, considering the significance of the design quality of housing. The article discusses relevant research, consistent contributors, and keywords used in the field. To understand the design quality of housing, this study used a PRISMA technique for systematic literature search, VOSviewer for bibliometric analysis, and NVivo for thematic analysis. It highlights the necessity of user-centered, interdisciplinary design as well as suitable frameworks for quality evaluation. The research also emphasizes the significance of adaptable quality frameworks, holistic approaches, and the collaborative relationship between qualitative and quantitative assessment methods. This study also provides a global perspective on housing quality research. The comprehensive study encourages further research and development in the area and contributes to the current discussion on the design quality of housing. [ABSTRACT FROM AUTHOR]

In China, industrial designers are usually educated with engineering background while product designers are educated with art background. Despite these educational differences, both of them are adept at tackling design-related issues. However, different educational backgrounds can affect the idea generation, especially in the early stages of the design progress. This study investigates the thinking processes of designers between engineering and art backgrounds in the early stages of the design process. Designers are encouraged to express ideas verbally or by sketching, and linkography was used to visually depict the designer's thinking process. Subsequently, with the help of vertical transformation value and the chunk, the features in the thinking of the two types of designers are explored, including: 1) In most cases, the vertical transformation value of the product designer is higher than that of industrial designer, which indicates that product designer is better at the reflection in design. 2) The chunk patterns in the linkographs show that industrial designers prefer to decompose tasks into sub-tasks and solve them individually, while product design participants tend to solve problems as a whole from a global view. These findings can enlighten the future research directions for design education and design organizations in multidisciplinary backgrounds. [ABSTRACT FROM AUTHOR]

As artificial intelligence (AI) systems become increasingly capable of performing design tasks, they are expected to be deployed to assist human designers' decision-making in a greater variety of ways. For complex design problems such as those with multiple objectives, one AI may not always perform its expected accuracy due to the complexity of decision-making, and therefore, multiple AIs may be implemented to provide design suggestions. For such assistance to be productive, human designers must develop appropriate confidence in each AI and in themselves and accept or reject AI inputs accordingly. This work conducts a human subjects experiment to examine the development of a human designer's confidence in each AI and self-confidence throughout decision-making assisted by two AIs and how these confidences influence the decision to accept AI inputs. Major findings demonstrate severe decreases in a human designer's confidence especially when working with one or more low-performing AI teammates and/or receiving negative feedback. Additionally, a human designer's decision to accept AI suggestions depends on their self-confidence and confidence in one of the two AIs. Finally, an additional AI does not increase a human designer's likelihood of conforming to AI suggestions. Therefore, in comparison to a scenario with one AI, the results in this work caution against the implementation of an additional AI to AI-assisted decision-making scenarios. The insights also inform the design and management of human-AI teams to improve the outcome of AI-assisted decision-making. [ABSTRACT FROM AUTHOR]

Recently, new alternatives have been applied to enhance the architectural design process through comprehensive interaction with all variables. This approach suggests a dynamic scheme to collect all factors comprehensively. This research introduces approaches to better cognition of architectural concepts based on the site context parameter. It investigates the role of site context in generating architectural ideas by formulating a model of analysis to find similarities and differences in senior architects' strategies. This approach aims to adapt context to explore aspects that may create diversity in architectural products. The reality is that creating original architectural concepts has received progressively less attention in the professional practice of architecture in recent decades. The research applied a mixed methodology, checklist factors and graphical analysis. It used a two-level method with several steps to evaluate the twelve international cases related to deconstructive architects (Eisenman, Koolhaas, and Hadid). This study concludes that creating a site context that supports the surrounding context can enrich the design concept and create unexpected results. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos del Centro de Estudios de Diseño y Comunicación is the property of Cuadernos del Centro de Estudios de Diseno y Comunicacion and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Jurnal Pendidikan Indonesia is the property of Publikasi Indonesia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recent advances in generative adversarial networks (GANs) applications continue to attract the attention of researchers in different fields. In such a framework, two neural networks compete adversely to generate new visual contents indistinguishable from the original dataset. The objective of this research is to create a complementary co-design process between humans and machines to augment character designers' abilities in visualizing and creating new characters for multimedia projects such as games and animation. Driven by design cognitive scaffolding, the proposed approach aims to inform the processes of perceiving, knowing, and making. The machine-generated concepts are used as a launching platform for character designers to conceptualize new characters. A labelled dataset of 22,000 characters was developed for this work and deployed using different GANs to evaluate the most suited for the context, followed by mixed methods evaluation for the machine output and human derivations. The discussed results substantiate the value of the proposed co-creation framework and elucidate how the generated concepts are used as cognitive substances that interact with designers' competencies in a versatile manner to influence the creative processes of conceptualizing novel characters. [ABSTRACT FROM AUTHOR]