破解智能汽车“高潜力-低信任”研究综述：技术困境、组织障碍与环境约束

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中图分类号：U463.6 文献标志码：A DOI：10.19822/j.cnki.1671-6329.20250119

【Abstract】Toresolvethecontradictionof“highpotential-lowtrust”inintellgentvehicles，itisnecessrytoclarify thetrustconstaintmehaissossnologicalgazatial，andiometaldmensionsndeploretie pathways.Integratingtechnologicalmechanisms，organizational trust，andenvironmentalpolicieswithinthe TechndogyOrganization-Envivonment （TOE） framework model，thisstudyconstructsa human-machine trust system.Findingsreveal that：thetechnological logicdemonstratescompositecharacteristicsprioritizing transparency，redundancyassrance，and dynamicadaptation，efctivelyreducingusercognitiveuncertaintyviamultimodalinteractionandfault-tolerant mechanisms.Attheorganizational level，anoptimizedcorporate servicesystem，dynamic insurance mechanisms，and hierarchicalregulatoryframeworkareestablished，wherebrandreputationandtechnologicaltransparencycollaboratively resolveuserognitivebariers，whileclarifiedaccountabilityatributionandstandardizedevaluationreinforceinstitutional adaptability.Environmentalrisksmanifestindatasecurityalgorithmicthics，andsocialcognition，necesitatingsmart infrastructureupgradesand crossdomain ecologicalcollaboration tobridge trust gaps.Thisresearch proposesa multidimensional governanceframework tofacilitatetrustworthyimplementationofintellgentdriving technology，supporting risk regulation and public acceptance during commercialization processes.

Key Words： Intelligent vehicles，Human-machine trust system，TOE framework model，Trust mechanisms，Usertrust

0引言

近年来，以人工智能与车路协同技术为核心的智能汽车（IntelligentVehicles，IVs）正加速从实验室走向商业化应用。（剩余20504字）