Jung, Normanvon der Linde, MiraThielsch, Meinald T.Stolze, MarkusLoch, FriederBaldauf, MatthiasAlt, FlorianSchneegass, ChristinaKosch, ThomasHirzle, TeresaSadeghian, ShadanDraxler, FionaBektas, KenanLohan, KatrinKnierim, Pascal2023-08-242023-08-242023https://dl.gi.de/handle/20.500.12116/42012This research aims to create an app-based visualization of fire probability to enhance fire safety measures in public and cultural buildings through the integration of the Internet of Things and wireless sensor networks. We employed a two-stage research methodology: the first study (N=104) used the Kano model to identify key app features and attributes prioritized by both laypersons and experts; the subsequent study (N=507) examined the efficacy of low-fidelity interface mock-ups derived from the results of the first study, focusing specifically on how effectively fire probability information was presented. The results showed that participants prioritized functionality and effectiveness over aesthetics in such an application. In addition, interfaces with clear, organized presentations and multi-level risk ratings were found to be the most effective. In addition, the use of visual cues increased user engagement, while oversimplification decreased user interaction. Ultimately, these findings highlight the need to prioritize functionality, user engagement and ease of use in the development of fire probability systems, thereby promoting more effective prevention and mitigation strategies in public and cultural spaces.enFire Probability Visualization User-Centered Design Kano Model Risk MitigationText/Conference Paper10.1145/3603555.3608535