User Experience is becoming an increasing centre of interest both in the academic and industrial worlds. Design agencies are no strangers to this phenomenon and are willing to shift from product-oriented design toward user experience design. However, their design process is often loose which may explain a lack of final UX quality or proof of quality, and does not allow to diagnose misuses and improvement opportunities due to a lack of UX formulation and traceability. We propose in this paper to retrospectively represent a design project and its specified, designed and validated UX, in the perspective to conduct a posterior collective diagnosis of UX design in a design agency. The proposed representation model is used to analyse one design project. Results show that only a few UX traces are found in the presented project, and that many dimensions are not considered (like perceptions or affects). Finally, we discuss the next steps of this tool's deployment to create a shared mental model of the design process among the design players.

With complex technology-intense industries follows an ever-increasing need for rapid innovation processes. Yet, innovation speed and the time from idea to product realization can vary and be unpredictable.

Design Thinking (DT) is suggested as a key driver to impact the speed of product innovation within product development projects. To understand and aid the road from early ideas and concepts to value- added products, this paper will provide a literature study on how Design Thinking can facilitate improved product innovation performance through innovation speed.

The paper seeks to develop an overview of new insight on DT applicability for improved product innovation capability. This is done by identifying components that comprise DT´s innovative ability and appropriateness to product development contexts beyond the early creative phases of product development.

As DT emphasize on visualization and re-framing problems, it contributes to enhanced clarity, meaning and confidence in ideas and decisions. DT in this way may impact strategy formulation and speed up complex innovation processes by pre-experiencing future situations.

Organizational competences are one of the main assets of companies. Models of these competences would allow for systematic reasoning for exploring technological innovations, enabled by combining and transposing organizational competences. Today, the literature linking organizational competencies to engineering design and systems engineering remains limited. In particular, a generic modelling approach for organizational competencies for engineering design and systems engineering seems to be missing, although first frameworks have been proposed for specific purposes. This paper presents a generic conceptual model of organizational competences. The objective is to link technology, product, and systems development with the corresponding organizational competencies and their future evolution in order to allow for a joint design of competencies and technologies, products, or systems. The conceptual model provides the basis for a competence combination framework which allows for modeling competence combinations in an organization. Finally, we validate our conceptual model using a case study from the automotive industry.

Amputees face challenges with prosthesis such as cost, long delivery periods, as well as social discomfort. Simultaneously, the prosthetists and manufacturers have a difficulty to handle such diverse issues. We thus contribute a Prosthetic Life-Cycle Service System (ProLiSS) Framework, prescribed to involve amputees in different life phases. From an evaluation of ProLiSS, we conclude that it influences how prosthetics need to be designed and that it is beneficial to perform further research to provide manufacturers with a systematic, amputee-centered development and servicing framework.

The emergence of intermediary platforms created networks that facilitate peer-to-peer interactions, as well as encourage the sharing of goods and services within the context of collaborative consumption and cost saving. This article sets out to inspect “why the sharing economy is so successful” and provide a critical viewpoint on the topic's essential ideas, while also taking a perspective on the advantages and disadvantages that affect the end users. A literature review paired with case studies of Airbnb, Uber, and other applications of the shared economy, looks upon how despite their rapid market growth in the past decade and public approval, such platforms caused disruptions to the markets they operate in. Results indicate that by being involved as a part of the collaborative consumption ecosystem, either as a provider or a user, the absence of personal ownership is key, while the utilisation of the product needs to be maximised to result in a pleasant experience. However, it is critical that the development of these platforms which thrive on connecting people stays closely monitored by regulatory bodies, and that the legislation needed for prevention of unethical practices follows quickly enough to ensure rightful operation.

Electric vehicles are playing an increasingly important role in the agricultural sector. The selection of tyres for reducing energy loss due to rolling resistance is an important consideration in determining the viability of these vehicles. To date little is known about rolling resistance of small all-terrain vehicles. In this study a test rig was used to collect rolling resistance data for seven ATV tyres. The study verifies the relationship between normal load and rolling resistance and gives insight into some of the important considerations when selecting tyres for small off road vehicles.

Performance assessment plays a crucial role in engineering education. Yet most instructor assessment focuses on student outcomes to analyse achievements. Although there is extensive research analysing student productions, however, few studies have explored assessment from instructor perspectives, especially when reporting their assessment practice. This study examines instructors' assessment of student performance through the lens of course review reports (CRRs). The CRRs were collected from 5 core undergraduate courses submitted for annual review and were related to the mappings of the measurable outcomes to performance indicators, assessment methods, and level of engagement. Regardless of the variability in reporting the student design experience, instructors' assessment and potential gaps, as well as strong existing correlations between some indicators and associated assessment methods, the study showed that the CRR may be a powerful and complementary approach to investigate the complexity of multidisciplinary design and design assessment.

The spare parts play a vital role in sustaining the operation and longevity of products and systems, but their unavailability can lead to prolonged downtime or expensive replacements. The integration of 3D scanning and Additive Manufacturing (AM) presents a promising path for spare part production. However, to utilise the full potential of AM, sometimes, redesign of the original part is needed. This paper investigates and proposes a new approach that integrates reverse engineering and redesign of an original part based on functional analysis to support the manufacturing of AM spare parts.

As the complexity of products and their development processes increases, a trend emerged where companies try to manage the complexity through implementing agile practices on all or on some levels of the development process. It is not yet clear if an agile approach is the solution or under which circumstances it can be most effective in the development of physical products. This paper aims to compile the information from existing empirical and meta-studies to give an overview of the strengths and weaknesses of conventional, agile and hybrid paradigms.

Representation of design information using causal ontologies is very effective for creative ideation in product design. Hence researchers created databases with models of engineering and biological systems using causal ontologies. Manually building many models using technical documents requires significant effort by specialists. Researchers worked on the automatic extraction of design information leveraging the computational techniques of Machine Learning. But these methods are data intensive, have manual touch points and have not yet reported the end-to-end performance of the process. In this paper, we present the results of a new method inspired by the cognitive process followed by specialists. This method uses the Knowledge Graph with Rule based reasoning for information extraction for the SAPPhIRE causality model from natural language texts. Unlike the supervised learning methods, this new method does not require data intensive modelling. We report the performance of the end-to-end information extraction process, which is found to be a promising alternative.

Big data provides high volume of data to inform product customisation. Understanding which data is relevant remains a challenge. A method is proposed to identify relevant data to inform data-driven customisation. A case study regarding customisation of orthoses was conducted. Verbal protocol analysis was employed to extract time spent on major fabrication phases. Data related to patients, therapists and fabrication time was analysed. Results showed that the number of stabilised joints, experience of therapists and whether the design is for in- or out-patient are key factors for customisation.

The automotive community has found to design and test autonomous systems, traditional CAE tools are not enough. The number of sensors and controls involved makes it very difficult to predict all the possible scenarios and system reactions to them. An approach to provide input to all the sensors and control systems is to use gaming engines. They are used “headless”, and in other cases with multiple users in the environment. In this paper we will highlight one case on how they are changing how the Army designs, tests, and sets requirements for autonomous ground systems.

In times of ‘grand challenges’, design theorists dealing with complex systems are facing a dilemma: grand challenges require rule breaking, but they also require the preservation, as much as possible, of existing resources, systems, know-how and societal values. Design for transition calls not for ‘creative destruction’, but for ‘creative preservation’. How do we model a design process that involves ‘creative preservation’?

Today, it is recognized that category/topos theory provides a solid foundation for modelling complex systems and their evolution in design processes. Category theory can account for a design process inside a given ‘theory of the object’, while topos theory and design theory can account for the phenomena whereby a design process is innovative to preserve the knowledge structure. At the heart of this creative preservation is sheafification.

In this study, we analyse the sheafification process using design theory. First, we characterize sheafification from a design perspective. Next, we propose a very simple illustration involving the sheafification of an ordinal 2 category presheaf. Finally, we show how sheafification can be used to enable ‘creative preservation’ in specific complex systems.

Design of software in the automotive domain often involves simulation to allow early software parametrization. Modeling complex systems or components impacted by the software in an analytical way can be time-consuming, require domain knowledge and executing the analytical models can result in high computational effort. In specific applications, these challenges can be overcome by applying machine learning based simulation. This contribution presents results of a case study in which powertrain components are modeled data-driven with artificial neural networks to support design space exploration

The education sector got severely impacted by the Covid-19 pandemic. In the beginning, remote learning posed challenges to teachers and students. However, many new pedagogical experiments demonstrated the potential to continue even in the post-Covid world. This study explains the pedagogical change in product design education from a traditional studio-based model to a virtual environment, without compromising the learning outcomes. The paper also describes the learning experiences of the students and measures the effectiveness of virtual education through qualitative and quantitative studies.

This paper reports the application of the methods and tools of fault-tolerant design to an automated shifting system and their reflection and extension. Fault-tolerant design has emerged in the last years and is generally understood as a collection of strategies, methods, algorithms, tools and insights which are intended to support the development of technical systems which are fault-tolerant because of their controllability but also their inherent fault-tolerant design qualities. The field of application is a shifting system for the gear system of a formula student driverless race car.

This paper is an invitation to a debate on the positioning of engineering design as a field of research. The paper lists a multiplicity of interpretations of design, questioning whether they are sufficient to describe engineering design in all its variety. Following a critical analysis of attempts to describe design's unique characteristics, and observations on the nature of design made from outside of the design research community, it presents a list of situations of design that the authors have observed in engineering practice, describing especially the relationship between design, technology and society. The paper then explores what these situations imply about the questions researchers should ask about the nature of design knowledge and expertise, and examines how the different situations might be categorised, before exploring the positioning of engineering design research with respect to other academic disciplines, in particular management and the human and earth sciences. The paper concludes with a call to a debate on the nature of engineering design with the aim to define this field more clearly to ourselves and to others.

The increasing availability of smart products creates a more pronounced need for designers to prototype and communicate interactive and environmental qualities of product during their design process. This paper explores which elements of User journey, Storyboards and Wireframes contribute to communicating these qualities, and how they might integrate with sketching. Results show depictions of user and temporal elements alongside low fidelity sketches are deemed most important. Our findings form the basis to propose and subsequently test combined prototyping approaches in future research.

This study explores the application of image generative AI to support design process by creating inspiration boards. Through an evaluative study, we compare the diversity, quantity, fidelity, and ambiguity of boards generated by image generative AI and traditional methods. The results highlight how generative AI produces a quantity of images, it exhibits limited diversity compared to traditional methods. This suggests a tendency for supporting interpolation rather than extrapolation of ideas, in turn providing insights on best practice and into the optimal stage for its application.

This paper presents five industrial cases where design automation (DA) systems supported by design optimization has been developed, and aims to summarize the lesson learned and identify needs for future development of such projects. By mapping the challenges during development and deployment of the systems, common issues were found in technical areas such as model integration and organizational areas such as knowledge transfer. The latter can be seen as a two-layered design paradox; one for the product that the DA system is developed for, and one for the development of the DA system.