营销数字人对话智能特征的动态加工与神经机制OA

As a new-generation human-computer interaction interface,marketing digital humans'conversational intelligence systems have emerged as a crucial engine for driving consumption upgrades and cultivating new quality productive forces in the digital economy.Nevertheless,the mechanisms through which the conversational intelligence features of marketing digital humans influence consumer behavior remain unclear due to the complexity of multidimensional conversational intelligence characteristics,the dynamics of multi-turn interaction patterns,and the challenges in decoupling dual-trust effects,which hinders the healthy development of the marketing digital human industry.Guided by the cognitive-affective trust theory,this study primarily investigates:(1)the consumer behavior phenomena under the interactive influence of multidimensional conversational intelligence features and various external factors;(2)the dynamic cognitive process resulting from the impact of conversational intelligence features on dual trust;(3)the cognitive neuroscience mechanisms underlying dual trust in marketing digital human;and(4)the optimization of conversational intelligence features in marketing digital human and practical application validation.Based on these research findings,the study aims to explore effective pathways for leveraging marketing digital humans'conversational intelligence systems to enhance consumer experiences,optimize business costs,and improve efficiency.