北京工业大学学报（社会科学版）2026，Vol.26Issue(1)：118-135,18.DOI:10.12120/bjutskxb202601118
智能社会人机物互动模式与发展趋向展望
The Prospect on Human-Machine-Object Interaction Mode and Development Trend in Intelligent Society:An Analysis Based on Passenger Data from Autonomous Ride-Hailing Services
摘要
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.关键词
智能社会/人机物互动/自动驾驶/乘客群体/社会公平Key words
intelligent society/human-machine-object interaction/autonomous ride-hailing/passenger groups/social equality分类
社会科学引用本文复制引用
LÜ Peng,LIU Yang..智能社会人机物互动模式与发展趋向展望[J].北京工业大学学报（社会科学版）,2026,26(1):118-135,18.基金项目
国家社会科学基金重大项目(23&ZD090) （23&ZD090）
武汉东湖新技术开发区国家智能社会治理实验综合基地项目 （）
