In this paper, we report on the initial results of an explorative study that aims to investigate the occurrence of cognitive biases when designers use generative AI in the ideation phase of a creative design process. When observing current AI models utilised as creative design tools, potential negative impacts on creativity can be identified, namely deepening already existing cognitive biases but also introducing new ones that might not have been present before. Within our study, we analysed the emergence of several cognitive biases and the possible appearance of a negative synergy when designers use generative AI tools in a creative ideation process. Additionally, we identified a new potential bias that emerges from interacting with AI tools, namely prompt bias.
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Academic design research often fails to contribute to design practice. This dissertation explores how design research collaborations can provide knowledge that design professionals will use in practice. The research shows that design professionals are not addressed as an important audience between the many audiences of collaborative research projects. The research provides insight in the learning process by design professionals in design research collaborations and it identifies opportunities for even more learning. It shows that design professionals can learn about more than designing, but also about application domains or project organization.
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From the article: Abstract Knowledge is essential to the product designer. It contributes to a better understanding of the difficulties in a design. With the right knowledge, design errors can be recognised in the early stage of product design, and appropriate measures can be applied before these errors escalate and delay the project. The axiomatic complexity theory, part of the Axiomatic Design methodology, can warn the designer in this process by disclosing his lack knowledge to fully understand the design. The Cynefin framework is a sense-making framework that distinguishes an organisational situation within four contexts. The state of relevant knowledge is the most important parameter to determine the actual context where an organisation, system, or design process is currently located. When knowledge is acquired, the context changes. Axiomatic Design and the Cynefin framework are applied in this paper to characterise the relation between the quality of the design and the knowledge of its designer. It is investigated if one follows the other, and how prompt that relation is. The outcome is that the quality of a design is proportional to the accumulation of applied knowledge to the product design. Therefore the quality of the design follows knowledge implementation but does not exceed the level of relevant knowledge of the designer. Knowledge should not be restricted to the designers only. Other people, e.g. production and maintenance-engineers, will also need the knowledge to take care of the product as the life cycle advances.
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This article examines how collaborative design practices in higher education are reshaped through postdigital entanglement with generative artificial intelligence (GenAI). We collectively explore how co-design, an inclusive, iterative, and relational approach to educational design and transformation, expands in meaning, practice, and ontology when GenAI is approached as a collaborator. The article brings together 19 authors and three open reviewers to engage with postdigital inquiry, structured in three parts: (1) a review of literature on co-design, GenAI, and postdigital theory; (2) 11 situated contributions from educators, researchers, and designers worldwide, each offering practice-based accounts of co-design with GenAI; and (3) an explorative discussion of implications for higher education designs and futures. Across these sections, we show how GenAI unsettles assumptions of collaboration, knowing, and agency, foregrounding co-design as a site of ongoing material, ethical, and epistemic negotiation. We argue that postdigital co-design with GenAI reframes educational design as a collective practice of imagining, contesting, and shaping futures that extend beyond human knowing.
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Co-creation as a concept and process has been prominent in both marketing and design research over the past ten years. Referring respectively to the active collaboration of firms with their stakeholders in value creation, or to the participation of design users in the design research process, there has arguably been little common discourse between these academic disciplines. This article seeks to redress this deficiency by connecting marketing and design research together—and particularly the concepts of co-creation and co-design—to advance theory and broaden the scope of applied research into the topic. It does this by elaborating the notion of the pop-up store as temporary place of consumer/user engagement, to build common ground for theory and experimentation in terms of allowing marketers insight into what is meaningful to consumers and in terms of facilitating co-design. The article describes two case studies, which outline how this can occur and concludes by proposing principles and an agenda for future marketing/design pop-up research. This is the peer reviewed version of the following article: Overdiek A. & Warnaby G. (2020), "Co-creation and co-design in pop-up stores: the intersection of marketing and design research?", Creativity & Innovation Management, Vol. 29, Issue S1, pp. 63-74, which has been published in final form at https://doi.org/10.1111/caim.12373. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. LinkedIn: https://nl.linkedin.com/in/overdiek12345
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Preliminary empirical research conducted by the leading author has shown that design students using biological analogies, or models across different contexts, often misinterpreted these, intentionally or unintentionally, during design. By copying shape or form without integrating the main function of the mimicked biological model, students failed to consider the process or system directing that function when attempting to solve the design need. This article considers the first step in the development of an applicable educational model using distant analogies from nature, by means of biomimicry thinking methodology. The analysis examines results from a base-line exercise taken by students in the Minor Design with Nature during the Spring semester of Industrial Design Engineering at The Hague University of Applied Sciences in 2019, verifying that students without biomimicry training use this hollow approach automatically. This research confirms the gap between where students are at the beginning of the semester and where they need to be as expert sustainable designers when they graduate. These findings provide a starting point for future interventions in biomimicry workshops to improve systematic design thinking through structural and scientifically based iterations of analogical reasoning. https://doi.org/10.1007/s10798-020-09574-1 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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The transition to an inclusive society through design Inclusive design can play a critical role in shaping a more equitable society. When products and services are intentionally created to be inclusive, they become more accessible to a wide audience, including people who might otherwise struggle to engage with them. In this way, designers become agents of social transformation. The project Active Inclusive Design (AID) addresses this challenge directly. It aims to enhance the capabilities of professional and future designers to create inclusive products and services, both digital and non-digital. In doing so, it supports a responsible and digital society central to the Expertise network Systemic Co-design (ESC) agenda, and is closely connected to all ESC Dynamic Learning Agenda (DLA) themes: Systemic Co-Design (SCD) in me, SCD with others, SCD in reality and SCD in time.
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Interactive design is an emerging trend in dementia care environments. This article describes a research project aiming at the design and development of novel spatial objects with narrative attributes that incorporate embedded technology and textiles to support the wellbeing of people living with dementia. In collaboration with people with dementia, this interdisciplinary research project focuses on the question of how innovative spatial objects can be incorporated into dementia long-term care settings, transforming the space into a comforting and playful narrative environment that can enhance self-esteem while also facilitating communication between people living with dementia, family, and staff members. The research methodologies applied are qualitative, including Action Research. Participatory design methods with the experts by experience—the people with dementia—and health professionals have been used to inform the study. Early findings from this research are presented as design solutions comprising a series of spatial object prototypes with embedded technology and textiles. The prototypes were evaluated primarily by researchers, health professionals, academics, and design practitioners in terms of functionality, aesthetics, and their potential to stimulate engagement. The research is ongoing, and the aim is to evaluate the prototypes by using ethnographic and sensory ethnography methods and, consequently, further develop them through co-design workshops with people living with dementia.
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ChatGPT’s emergence and subsequent evolution as a generative artificial intelligence tool introduces new ways of assisting students with research design. Fostering research skills with undergraduate students presents opportunities and challenges for faculty to aid with drafting research plans, questions for investigation, and methods for conducting the research. While some educators rightfully voice concerns over the ethical aspects of such a tool, this article will draw on my own experiences using ChatGPT 4.0 as a tool in research project supervision. I demonstrate how to prompt ChatGPT to give useful suggestions that can be used as actionable feedback. I also discuss how to instruct students to include ChatGPT in their research methodology when using the tool to refine research questions.
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Social issues are becoming increasingly pressing. From dementia to climate change to corona; we as people, citizens, residents and city users - through our own experience or otherwise - have a sense of them. However, truly understanding and addressing these issues is difficult because there is no single owner. Everything is related, intertwined and also changing. Getting an overview and deciding together on necessary steps proves difficult. Complex issues thus become orphaned. Design and more specifically co-design - creative collaboration with others - is increasingly seen as a possible approach to these such issues and collaborations because it can deal with complexity and uncertainty, is optimistic and investigative in nature. With a co-design approach, we can find a shared desire and with that we connect with each other. By then searching together for mechanisms that can lead to the desired values, we gain insights on how to tilt a problematic situation. That enables us to imagine alternative futures. These help us on our way to a better, greener and more social world and social change.
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