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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The concept of biodiversity, which usually serves as a shorthand to refer to the diversity of life on Earth at different levels (ecosystems, species, genes), was coined in the 1980s by conservation biologists worried over the degradation of ecosystems and the loss of species, and willing to make a case for the protection of nature – while avoiding this “politically loaded” term (Takacs, 1996). Since then, the concept has been embedded in the work of the Convention on Biological Diversity (CBD, established in 1992) and of the Intergovernmental science-policy Platform on Biodiversity and Ecosystem Services (IPBES, aka ‘the IPCC for biodiversity’, established in 2012). While the concept has gained policy traction, it is still unclear to which extent it has captured the public imagination. Biodiversity loss has not triggered the same amount of attention or controversy as climate change globally (with some exceptions). This project, titled Prompting for biodiversity, investigates how this issue is mediated by generative visual AI, directing attention to both how ‘biodiversity’ is known and imagined by AI and to how this may shape public ideas around biodiversity loss and living with other species.
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-Chatbots are being used at an increasing rate, for instance, for simple Q&A conversations, flight reservations, online shopping and news aggregation. However, users expect to be served as effective and reliable as they were with human-based systems and are unforgiving once the system fails to understand them, engage them or show them human empathy. This problem is more prominent when the technology is used in domains such as health care, where empathy and the ability to give emotional support are most essential during interaction with the person. Empathy, however, is a unique human skill, and conversational agents such as chatbots cannot yet express empathy in nuanced ways to account for its complex nature and quality. This project focuses on designing emotionally supportive conversational agents within the mental health domain. We take a user-centered co-creation approach to focus on the mental health problems of sexual assault victims. This group is chosen specifically, because of the high rate of the sexual assault incidents and its lifetime destructive effects on the victim and the fact that although early intervention and treatment is necessary to prevent future mental health problems, these incidents largely go unreported due to the stigma attached to sexual assault. On the other hand, research shows that people feel more comfortable talking to chatbots about intimate topics since they feel no fear of judgment. We think an emotionally supportive and empathic chatbot specifically designed to encourage self-disclosure among sexual assault victims could help those who remain silent in fear of negative evaluation and empower them to process their experience better and take the necessary steps towards treatment early on.
Mycelium biocomposites (MBCs) are a fairly new group of materials. MBCs are non-toxic and carbon-neutral cutting-edge circular materials obtained from agricultural residues and fungal mycelium, the vegetative part of fungi. Growing within days without complex processes, they offer versatile and effective solutions for diverse applications thanks to their customizable textures and characteristics achieved through controlled environmental conditions. This project involves a collaboration between MNEXT and First Circular Insulation (FC-I) to tackle challenges in MBC manufacturing, particularly the extended time and energy-intensive nature of the fungal incubation and drying phases. FC-I proposes an innovative deactivation method involving electrical discharges to expedite these processes, currently awaiting patent approval. However, a critical gap in scientific validation prompts the partnership with MNEXT, leveraging their expertise in mycelium research and MBCs. The research project centers on evaluating the efficacy of the innovative mycelium growth deactivation strategy proposed by FC-I. This one-year endeavor permits a thorough investigation, implementation, and validation of potential solutions, specifically targeting issues related to fungal regrowth and the preservation of sustained material properties. The collaboration synergizes academic and industrial expertise, with the dual purpose of achieving immediate project objectives and establishing a foundation for future advancements in mycelium materials.
The presented research project will address parasocial interaction (PSI) directed towards non-player characters (NPCs) within video games. As first described by Horton and Wohl in 1956, the investigation of PSI has been predominantly limited to the context of linear media. Consequently, a significant research gap has emerged, prompting the need for this study. This research endeavors to bridge this gap by conducting multiple studies that delve into different aspects of a character's presence that seem to affect PSI. For example, factors such as obtrusiveness and persistence will be investigated due to their potential influence on the strength of PSI (Hartmann, Schramm, & Klimmt, 2004). Furthermore, the inquiry extends to exploring the collective impact of a group of NPCs on PSI dynamics. To achieve these objectives, the research will employ research through design methods, involving iterative modifications to the NPCs across various test setups. A game-based research environment will be created for participant exposure, leveraging the video game RimWorld (Ludeon Studios, 2018) as a foundational framework that can be adapted as necessary. Employing a quantitative approach, the studies will document the impact different aspects of a character’s presence have on the strength of PSI observed. The outcomes of this research endeavor will be disseminated among fellow game developers through artistic interventions, such as, for example, game jams. This approach seeks to not only contribute to the scholarly understanding of PSI but also offer practical insights in the context of game development.
