Conference Agenda

This research paper introduces the FlatFold approach, a novel method for local footwear production that leverages Additive Manufacturing and 3D pattern design. The proposed approach presents a new method that simplifies the footwear production process from around fourteen into five steps, applying Additive Manufacturing to enhance efficiency and minimise waste. The approach also explores the use of printed patterns on fabrics, facilitating and guiding manual folding of planar patterns into shoes and allowing for detailed and customizable designs. Furthermore, the research explores different filament attachment techniques to ensure reliable integration with textiles, promoting the creation of complex shapes in footwear manufacturing. The proposed approach is validated through consultations with industry experts, highlighting its potential impact on the footwear industry. Overall, the FlatFold3D approach presents an solution for localised and efficient footwear production, with advancements in customisation.

This research aims to revolutionize streetwear fashion brands' customization services by incorporating the Big Five personality psychology test and AI-generated content (AIGC) technology. Focus group discussions with professionals and designers explored integrating AIGC technology into customization services. An analysis of 200 questionnaires examined consumers' preferences for visual styles and image types in customized streetwear fashion brands. An experimental test matched AI-generated elements with personality dimensions, leading to personalized AI image-generation rules. This research identifies personalized needs and favored design elements, develops rules for data visualization, and offers insights into utilizing AI technology for data visualization. It presents a fresh approach to the future of customization services in streetwear fashion brands, combining AI technology with innovative psychological experiments. The study contributes to understanding the demand for customization services in the streetwear fashion industry, involving consumers and industry professionals.

In the digital manufacturing era of the automotive industry, high-level intelligent cabins are leading the shift towards software-defined cabins, driven by rapid advancements in in-cabin hardware. For the product development process of the future intelligent cabin, there is a lack of a humanized cabin design framework to help designers clarify user motivation and interaction process for design and development. This paper introduces an intelligent cabin narrative design framework and a tool named Spatio-Temporal Canvas , which provides guiding ideas for the design of Intelligent Cabins. The framework and the Spatio-Temporal Canvas are applied to a case study, providing a detailed illustration of the narrative process within intelligent cabin scenes. The paper concludes by discussing the current outcomes for this research, case study shows that intelligent cabin narrative design framework and the Spatio-Temporal Canvas can help designers gain insights into user behavior for interaction design activities.

The modern world of design is one of constant change and technological progress. One emerging technology that has the potential to revolutionize the design is additive manufacturing. This innovative technology challenges existing manufacturing processes to reflect and enable the efficient production of complex and customized objects through reimagination. Design education for additive manufacturing plays a crucial role in educating future designers to resist the adherence to conventional processes and to promote the recovery of innovative thinking. Therefore, it is significant to explore the integration of this emerging technology in academic education and identify the associated chances and challenges to ensure effective knowledge transfer to students. This paper explores how the integration of additive manufacturing into design education is being implemented in the fields of design and architecture worldwide. Thus, the courses offered in academic curricula in universities and by libraries are analyzed and the expected benefits are determined.

Standard urban planning models are nowadays being redefined with a renewed focus on reducing mobility times: proximity, walkability, self-sufficiency. Recon-figuring how cities, their flows, and services are organized also requires designers and citizens, with a potential role for the Maker Movement and Distributed Economies. We focus here on how urban creative communities and maker labor-atories could become public empowerment services by, for and with citizens within proximity of urban planning models. We propose a framework for such Proximity-based Making and Community Services based on 1) defining them as connecting makers, designers, citizens, and maker laboratories, 2) via digital technologies network into Distributed Economies, 3) interacting with Govern-ments through the interface of proximity-based urban models, governances, and policies. The framework has a descriptive model and an assessment indicator based on people, organizations, and policies for a) understanding current urban making, b) planning new services or c) developing new policies for them.

Product-Service Digital Twins are an emerging field about which little information is available. To overcome this deficit personas were utilized to elicit domain and user information requirements. As no user data exists for this domain, persona profiles were developed for the domain based on types of decision maker. Control task analysis was applied to the personas as a means of applying a people-centered approach to information gathering. A description is provided of how the control task analysis methodology is modified for use with the personas. Examples of the personas developed and the information gathered are given. This approach is shown to be an effective method for understanding human requirements for a Digital Twin.