Automated vehicles (AVs) are expected to transform the passenger experience, which is largely shaped by the emotions perceived on board. This study, conducted as part of the SUaaVE H2020 project, aimed to identify key emotions and generate associated driving scenarios, focusing on vehicles with high levels of automation. Using the Orthony Claire Collins model (OCC model), 45 participants from Spain and Italy, through an online bulletin board, described situations that could trigger emotional responses as passengers in AVs. A qualitative analysis led to the development of a scenario database featuring 15 key situations, each capable of evoking different emotions. The results reveal that “satisfaction” and “joy” were the most prominent positive emotions, while “fear” emerged as the most frequently mentioned negative emotion. These findings offer valuable insights to guide the design and optimization of AVs to improve passenger experience and emotional well-being.