The observation of designers' behaviour in collaborative design activities and the analysis of protocols improved the understanding of how novel ideas emerge, what occurs among designers and, indirectly, what methods have a good impact on the outcomes. Yet, protocol analysis requires recording the design sessions, often in a simulated environment, thus introducing a bias in the observation. Moreover, the analysis takes up to 1000 times the duration of the observed design session. These limitations definitely hinder the scalability of this practice to large experiments in real operational environments.

This paper investigates the possibility to use the data collected in log files, automatically recorded during collaborative design sessions assisted by an ICT design support tool, as a means to extract relevant information about the design process and ultimately to infer insights about co-designers' cognition during the session. In this perspective, the paper proposes a set of metrics tailored to an Augmented Reality-based collaborative design tool. The study has been carried about by processing the data collected in 5 real case studies conducted in three different design companies.

Deep learning methods have been applied to randomly generate images, such as in fashion, furniture design. To date, consideration of human aspects which play a vital role in a design process has not been given significant attention in deep learning approaches. In this paper, results are reported from a human- in-the-loop design method where brain EEG signals are used to capture preferable design features. In the framework developed, an encoder extracting EEG features from raw signals recorded from subjects when viewing images from ImageNet are learned. Secondly, a GAN model is trained conditioned on the encoded EEG features to generate design images. Thirdly, the trained model is used to generate design images from a person's EEG measured brain activity in the cognitive process of thinking about a design. To verify the proposed method, a case study is presented following the proposed approach. The results indicate that the method can generate preferred designs styles guided by the preference related brain signals. In addition, this method could also help improve communication between designers and clients where clients might not be able to express design requests clearly.

Continuous subcutaneous insulin infusion using an insulin pump has been documented to have significant clinical benefits as a treatment plan for type 1 diabetes mellitus patients. However, despite this, adoption in resource constrained settings like India is severely limited. This is often attributed to the costs associated with the device.

The usage of such a device is closely associated with a patient's lifestyle and its design demands a more user-centric approach to engineering design. The stakeholder involvement is needed for validation and guiding the product development direction. In this paper, we've outlined a user-in-the-loop approach to engineering design using the design of an insulin pump as a case study.

Globalisation and the mixing of people, cultures, religions and languages fuels pressing healthcare, educational, political and other complex sociocultural issues. Many of these issues are driven by society's struggle to find ways to facilitate deeper and more emotionally meaningful ways to help people connect and overcome the empathy gap which keeps various groups of people apart. This paper presents a process to design for empathy – as an outcome of design. This extends prior work which typically looks at empathy for design – as a part of the design process, as is common in inclusive design and human centered design process. We reflect on empathy in design and challenge the often internalised role of the designer to be more externalised, to shift from an empathiser to become an empathy generator. We develop and demonstrate the process to design for empathy through a co-creation case study aiming to bring empathy into politics. The ongoing project is set in the Parliament of Finland, and involves co- creation with six Members of the Parliament from five political parties. Outcomes of the process and case study are discussed, including design considerations for future research.

We study a DevOps software development process for a Product-Service System (PSS) using a design structure matrix (DSM) representation. We find unique features such as nested, planned iterations at differing rates which are not evident in conventional engineering development projects. We describe the impact of integrating ongoing operations into a development process and identify some of the enablers that lead to adoption of a DevOps process. We conclude by discussing the implications of our findings and raise questions for further research.

In the midst of Industry 4.0 where digitalisation is stimulated through the Internet of Things (IoT), Big Data, and machine learning technologies, an increasing volume of valuable data has been acquired from sensors and interconnected devices. This data-driven paradigm can enable organisations to create new or improved products and services, build long-term customer relationships in a value co-creation manner, adapt to continuous business reconfiguration or address societal challenges such as sustainability. Scientific research addressing Data-driven design has increased steadily in the last few years. However, despite this, there is still a need for a comprehensive understanding of data-driven design processes. Thus, through a systematic literature review, we review the data-driven design activities observed in the new product and service development and types of data utilised in New Product Development (NPD) process. This paper contributes to design research and through reviewing the current landscape of Data-driven design identifies ten data-driven design activities and four-dimensional aspects in NPD process.

Companies struggle with identifying relevant sustainability aspects strategically, assessing alternative solutions quantitatively, and making trade-offs. This paper reports results from a prescriptive study with an aerospace company, and presents the Sustainability Criteria And product life-cycle Data Simulation (SCADS) approach. Based on strategic integration of sustainability indicators, this approach aims to enable visualisation and comparison of the sustainability implications of different concepts in early design phases of product development.

This paper shows how designers of IoT-enabled products can assess the environmental impacts associated with the user behaviour and the service system around the product. High-quality secondary data and a user-behaviour survey were able to highlight critical aspects of a smart fridge's design. A streamlined LCA looked at just the in-use phase of the product within 4 PSS scenarios. The system included: the effects on the food waste; grocery shopping methods; fridge door openings; and how the users interact with the smart fridge features. The results show that a smart fridge as within a PSS can reduce the impact on the environment (GWP of 21,700 kg CO2-eq within the ‘average PSS scenario’ and GWP of 23,100 kg CO2-eq for the normal fridge with ‘typical scenario’). The product's increased emissions are counteracted by the reduction in GWP due to: reduction in food waste; and shifts from brick-and-mortar grocery shopping to e-commerce. Therefore some of the critical aspects of the product's design that are most influential on the environmental impact of an IoT fridge are: the design of the web-browsing capability; and the use-by date tracking system.

Graph-based design languages offer a promising approach to address several major issues in engineering, e. g. the laborious manual transfer between CAD and CAE. Such languages generate a digital meta- or system model storing all relevant information about a design and feed this into any relevant CAE tool as needed to simulate and test the impact of any design variation on the resulting product performance. As this can be automated in digital compilers to perform systematic design variation for an almost infinite amount of parameters, such graph-based languages are a powerful means to generate viable design alternatives and thus permit fast evaluations.

To leverage the full potential of graph-based design languages, possibilities are presented to expand their applicability into the domain of product functions. This possibilities allow to cohesively link integrative function modelling to product structures. This intends to close the gap between the early, abstract stages and the systematic, concrete design generation and validation with relevant CAE tools. In this paper, the IFM Framework was selected as integrated function model to be linked with the graph- based design languages.

Policymakers have attempted to preemptively address the concern of ethical issues with the regulation of automated vehicles. Unfortunately, both policymakers and designers of these technologies struggle to articulate ethical issues and their resolution. We propose a framework that engineers and designers of automated technologies can apply that allows them to identify and resolve ethical tensions within the design task. We demonstrate the practicability of the framework to the engineering design process through a human-subject study where engineers applied the framework in a workshop.

The world is ageing, and this change will strongly impact the design of products, services and environments. Notwithstanding the proliferation of research initiatives, guidelines, policies and regulations, there is still a significant gap and lack of a uniformed strategy to guide engineers, designers, and architects to design inclusive environments. This article explores and summarizes through a review of international regulations and standards, the requirements that design practitioners need to consider when designing accessible, inclusive, smart, age-friendly environments. With this explorative study, we reviewed documentation and developed a comprehensive ontology comprised of people and design related criteria aiming to support the design of inclusive, smart and accessible buildings. The ontology was created by interpreting the criteria through semantics used in peoplecentered design approaches, where people's needs and design requirements are two fundamental phases for designing inclusively.

The results are intended to enable researchers and practitioners to better identify clusters of accessibility and inclusion criteria to facilitate the study and the design of accessible, inclusive, smart, age-friendly environments.

In modular products conflicting objectives may occur. This leads to characteristics as component-dependent oversizing and undersizing as well as increased complexity of the interfaces. These conflicts can be resolved using the potentials of AM processes. For the best use possible, the potentials are systematically considered in the early design phases as part of an extended procedure. The extended procedure improves the benefit-effort ratio of modular respectively individual products and a further optimization of the product architecture and consideration of synergy effects is achieved.

Engineering work is mostly done in 3D CAD software throughout the engineering process from conceptual design and layout of products. Physics-Based Virtual Prototypes are very valuable addition on Computer Aided Engineering enabling product development simulators, training simulators and digital twin concept in product lift-cycle process. In this work, we present a framework, how such virtual prototypes can be developed from 3D CAD models with meaningful effort.

This study delves into Industry 5.0's Human Centric Manufacturing and Systems (HCM and HCS), emphasizing worker welfare and sustainability. Industry 5.0 advocates a human-centric approach, built upon three foundational pillars safety, inclusivity, and empowerment. The paper highlights the successful integration of Design and Systems Thinking in HCM and proposes a workshop at MADE COMPETENCE CENTRE proving the effectiveness in raising awareness and promoting Human-Centric principles throughout the system life cycle and in achieving Human-Centric Systems (HCS).

Open-source hardware (OSH) development is a new design paradigm from a commercial perspective. Openly sharing designs of technical products is a step towards democratising access to new technologies for the benefit of individuals and communities in society. At the core of the open-source hardware definition lies the freedom for anyone to replicate the hardware based on the design. Thus, enabling this freedom is a step towards developing a successful OSH. Previous research supposes that a bill of materials and assembly instructions are enough for this. In this study, we question this assumption and investigate what other factors may influence replicability of an OSH. Using data from a survey and interviews with OSH practitioners, we identify and describe these factors, which relate to the documentation, the design and the context of the person replicating the hardware. Using these insights, we present a diagram of the replication process along with questions the person replicating the hardware would ask to check whether an OSH is replicable. Finally, we synthesise this information into practical advice for OSH projects to increase the replicability of the designs they produce, and thus the likelihood of their project's success.

Insufficient design often causes challenges to users on a cognitive level, hindering them from interacting with products smoothly. There is a lack of effective design tools and supporting materials that can help designers to understand human cognition and how it affects the way that users experience and use products and services. This paper aims to identify current approaches that can be applied to address this issue, and to examine their strengths and weaknesses. This helps to identify future directions for developing and improving cognitive design supports. A literature review was conducted of research publications in the fields of both design and cognition. Four key approaches are identified: cognitive design principles/guidelines, the demand-capability approach, cognitive walkthrough and cognitive modelling. Their strengths and weaknesses are analyzed from a design standpoint. The paper also analyses the underlying causes of the insufficient uptake of cognitive design approaches by designers.

In industry, Failure Mode and Effects Analysis is an established quality tool for minimizing development risks in systems, products and processes. Nevertheless, the presented use case shows that the application of the FMEA method in the development of Product-Service Systems in a SME requires modifications to ensure that the special character of PSS is appropriately included and that risks can be adequately assessed and prioritized.

In the age of the fourth industrial revolution, the competition between enterprises is fierce to operate efficiently and hold on to their customers. Due to lack of time and methodology, many leaders struggle to establish optimized strategies for their businesses. To do so, the key processes need to be measured using dashboards that proactively help decisions making, facilitate the strategy execution and keep the employees focused. The purpose of this article is to identify the design features of a risk analysis dashboard and their effects on the perceived ease of use and perceived usefulness.

In this paper, the authors propose a culture-centred tool called Speculative Ethnography to support the practice of design for the speculative future. Most explorations of tools and techniques of design for the speculative future focus on materialising the speculation. Instead, Speculative Ethnography provides a guideline to help designers define their speculation through the scientific imagination of the plausible future. It ensures the effectiveness of design for the speculative future and supports the interaction of culture and design for the speculative future.

Technological advances as well as novel manufacturing and design paradigms, such as industry 4.0 and digitalization, offer new opportunities for innovative products. However, they also increase the product complexity and cause new challenges in the production process. Therefore, agile production approaches are crucial. Tolerance compensation provides more flexibility in the production process, as demands on dimensional accuracy of the components are reduced. As a result, tolerance compensation also offers the possibility of reducing production costs without compromising product quality. Nevertheless, tolerance compensation is often considered a reactive intervention to reduce the number of out-of-spec parts a posteriori instead of including it in the early stages of Geometrical Variations Management. The contribution tackles this issue by characterizing and categorizing different methods of tolerance compensation as well as providing design guidelines for the application of tolerance compensation methods. This enables design engineers to select a suitable tolerance compensation method for different applications.