Abstract: Humanity is entering an intelligent society, a development profoundly characterized by the deep integration of human, cyber, and physical systems. Against this backdrop, autonomous ride-hailing services (L4) constitute a crucial application scenario, providing an observational lens for exploring human-machine-object interactions. From May to August 2025, the research team conducted a survey in Wuhan among passengers of autonomous vehicles, focusing on the demographic characteristics and social attitudes of "early adopters". The findings reveal that the passenger profile predominantly consists of young adults with a relatively balanced gender distribution, primarily composed of office workers and students. Higher education levels correlate with enhanced cognitive understanding and usage inclination. In the diffusion of innovations, new media serves as the primary information channel, while key motivations include low-cost offerings, seamless experience, and the desire to try new technologies. A significant proportion of passengers become frequent users, demonstrating high repeat usage intention. Regarding subjective perceptions in human-machine-object interactions—such as safety, effectiveness, and trust—consensus coexists with divergence. The survey has found that first-time ride experiences significantly increase trust in technology. Meanwhile, passengers express concerns about social equity across dimensions such as labor alienation, social exclusion, and spatial justice. Furthermore, this new travel mode is expected to profoundly impact the industry and market. The findings of this paper reveal a series of significant changes that may occur in the future intelligent society, providing an important empirical basis for studying the interaction process and mechanism among human, machine and object in the intelligent society.