Technological advancements have led to the development of aerial vehicle concepts for passenger transportation, termed "Urban Air Mobility." Related services could provide more efficient and flexible travel options. However, as flight modes will shift to autonomous operations in the near future, a deeper understanding of consumer perceptions and adoption intentions related to this AI-enabled service will be crucial to its success. Building on dual-process theory, we examine the influence of affective and cognitive considerations in the formation of adoption intentions of autonomous passenger drones. Using Virtual Reality (VR), we manipulate the presence of a pilot onboard the vehicle to assess the influence of human supervision on subsequent adoption intentions using structural equation modeling. In two experimental studies, we show that affective responses exert a stronger influence on adoption intentions than cognitive considerations. Results indicate that some form of human supervision will be crucial to trust formation, especially for risk-averse consumers.
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Janotta et al. (2024) studied this question.
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