This paper explores the process of trust development in human-drone interaction, focusing on how trust evolves over time when humans are unfamiliar with AI-assisted technology. The study investigates the development of trust, specifically whether it changes due to personal along a series of experiments. A study (N = 19) was conducted in a warehouse setting using aerial drones. Participants interacted with a drone that guided them through a that was based on real-world warehouse processes. Data was collected through questionnaires and distance measurements. Changes in comfortable human-drone distance were assessed before and after the interaction, changes in the mental model were measured before, right after, and two weeks later via an online questionnaire, and changes in trust were recorded during the interaction. Variables measured were 1) Subjective trust level: Participants rated their trust in the drone, 2) Changes in individual mental model: Participants answered a questionnaire to assess their understanding of the drone’s capabilities, and 3) Human-drone distance: The comfortable distance between the participant and the drone was measured. while the participants' mental models of the drone improved significantly after the interaction, their subjective trust levels remained relatively stable. The research suggests that initial trust levels are influenced by pre-existing psychological anchors and are difficult to change solely through new experiences delete word. It is concluded that, while human-drone experiences can enhance understanding of AI systems, it is more difficult to change pre-existing levels of trust. The findings suggest that a more comprehensive approach, that considers cognitive, affective, and behavioral measures, is important to examine human-drone interaction.