Creativity plays a significant role in competitive product ideation. With the increasing emergence of Virtual Reality (VR) and Artificial Intelligence (AI) technologies, the link between such technologies and product ideation is explored in this research to assist and augment creative scenarios in the engineering field. A bibliographic analysis is performed to review relevant fields and their relationships. This is followed by a review of current challenges in group ideation and state-of-the-art technologies with the aim of addressing them in this study. This knowledge is applied to the transformation of current ideation scenarios into a virtual environment using AI. The aim is to augment designers’ creative experiences, a core value of Industry 5.0 that focuses on human-centricity, social and ecological benefits. For the first time, this research reclaims brainstorming as a challenging and inspiring activity where participants are fully engaged through a combination of AI and VR technologies. This activity is enhanced through three key areas: facilitation, stimulation, and immersion. These areas are integrated through intelligent team moderation, enhanced communication techniques, and access to multi-sensory stimuli during the collaborative creative process, therefore providing a platform for future research into Industry 5.0 and smart product development.

Creativity is fundamental to design problem-solving. This paper sets out a systematic review of the literature in relation to its role in the architectural design studio in order to identify central issues that impact upon this activity. Challenges and best practices in relation to systematic reviews are outlined, and the procedure followed in this context is set out in detail. This involves an iterative evaluation process that resulted in a pool of 17 papers for analysis. Eleven themes emerged in the analysis of the papers, which were organized into five key categories dealing with: pedagogy, cognitive approach, interaction and socialization, information representation, and measuring ideation and creativity. A discussion of these categories contributed to the comparison and connections between the selected papers, and the identification of critical issues and directions for promoting creativity in the architectural design studio.

Ten years have passed since the preparation of the inaugural issue of the International Journal of Design Creativity and Innovation (IJDCI). The editors at that time collected the reflections and i...

Prototyping constitutes a major theme of design education and an integral part of engineering design academic courses. Physical prototypes and the model building process, in particular, have been proved to boost students’ creativity and resourcefulness and assist in the better evaluation of concepts. However, students’ usage of prototypes has still not been explored in depth with the aim of being transformed into educational guidelines. This paper presents an investigation of students’ reasoning behind prototyping activities based on the concept of Purposeful Prototyping, developed in the authors’ previous work. This is performed by identifying instances of prototype use in students’ design projects and by discovering which types of prototyping purposes they apply and to what extent, as well as by studying the relationships between purposes, early design stages, academic performance and project planning. The analysis of the results shows that prototyping can support students’ learning objectives by acting as a project scheduling tool and highlights the contribution of early-stage prototyping in academic performance. It is also confirmed that students’ limited prototyping scope prevents them from gaining prototyping’s maximum benefits and that they require strategic guidelines tailored to their needs. A new, improved list of prototyping purposes is proposed based on the study’s results.

Algorithmic design harnesses the power of computation to generate a form based on input data and rules. In the product design setting, a major advantage afforded by this approach is the ability to automate the customization of design variations in accordance with the requirements of individual users. The background knowledge, intuition, and critical judgement of the designer are still essential but are focused on different areas of the design process. Thus far, little research has been applied directly to the problem of ergonomics in generative design. In this paper, we review the relevant literature in generative design, topology optimization, and computational design in order to describe the ways in which algorithms can be incorporated into the design process from a human-factors perspective–design tailored around human anatomy and usability requirements. We then develop a model for approaching generative design development work, oriented around human factors (particular ergonomics), and describe a case study from the PRIME-VR2 research project in which an algorithmic workflow utilized user scan data and 3D-printing technology to generate bespoke versions of a standard controller device.