This study explores integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into design ideation of industrial design. Conducted at TU Delft, the research involved brainwriting and video-based design (VBD) methodologies. The primary aim was to legitimize and valiate context-injected LLMs and VLMs in supporting designers' search for inspiration through development of experiment framework. The study measured workload, user experience, acceptance of technology, divergent thinking capabilites and attitudes towards AI. It also preliminary analysed the results, focusing on qualitative insights.

Data was collected through surveys and interviews, but although eye-tracking data was also gathered, it was excluded from the analysis. The study found that while AI tools support ideation by generating diverse ideas and handling repetitive tasks, they need improvement for contextually relevant and accurate information. Designers expressed cautious optimism about AI's potential, emphasizing the need for human oversight to retain creativity and ensure context-aware assistance. 

The research highlighted optimistic leaning opinions on AI integration, noting that current AI capabilities are not yet sufficient for design ideation demands. It emphasized the necessity for AI to act as a collaborative partner, preserving the designer's critical role in the creative process. 

This report describes a graduation project for the MSc program Strategic Product Design. The client in this project is the Erasmus MC in the Netherlands and commissions this project incorporation with the Critical Alarms Lab (CAL) of the TU Delft. The Erasmus MC and CAL want to improve the experience of the Intensive Care Unit (ICU) both for patients and for the stakeholders surrounding the patient. They are also interested in using Artificial Intelligence (AI) and data to benefit ICU patients. A research project is set up to find how the experience for ICU patients can be improved and how AI can play a role in the ICU. Therefore, the research questions of this project is defined as: “How should the intensive care unit of the Erasmus MC innovate in the coming years to give critically ill patients a humane experience?”. The research resulted in a future vision that describes different values for the ICU of the Erasmus MC. Also, it is described what consider concerning humanization and Artificial Intelligence in the ICU of the future. Secondly, the research results in design guidelines that can be used by the Erasmus MC or designers to design for the ICU and ICU patient. The investigation into the ICU, the ICU patient, stakeholders with influence on the ICU and the future vision come together in a website. This website can be used to retrieve information, used as a guide or function as an inspiration for designers for healthcare.