The Master's thesis focuses on designing a solution for the relief of menstrual pain by experimentally implementing artificial intelligence tools in the design process. Artificial intelligence became widely available in 2022, and since then its popularity has skyrocketed. The development of generative models is the fastest because it is the easiest to use. This technology promises to perform a variety of tasks (text, image, video generation) faster and with above-average results. The aim of the Master's thesis was to implement generative artificial intelligence tools in the design process and to test them in designing a product.
Menstrual pain was chosen as the design problem. 80% of the female population experience severe pain every month, triggered by their cycle. These pain limits their lifestyle to a large extent and has a negative impact on their mental and physical wellbeing. Research showed that most menstrual cramp relief products are simple, without clever features, and that they are uncomfortable and noticeable under clothing, which is a stress factor. A test group was involved in the design of the solution, giving their opinions, wishes and criticisms throughout the conceptualisation of the solution. The proposed solution was therefore a joint product of artificial intelligence and human input. Through this process, a solution to relieve menstrual cramps was developed in the form of a smart wearable device that, in addition to alleviating pain symptoms with thermotherapy, helps the user track pain and understand the state of their body's health.
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