[期刊]symmetry

[作者]Wang Zhang, Fuquan Zhao and Zongwei Liu*

[摘要]Under the trend of AI-deffned vehicles, multi-agent collaboration has become the core feature for intelligent vehicles to deliver superior user experience (UX). Traditional linear and independent evaluation methods can no longer adapt to the new technical characteristicsand logic. Taking the agents of four functional domains—intelligent driving, intelligentcockpit, intelligent vehicle control, and intelligent connectivity—and their cross-domaincollaborative relationships as research objects, this study constructs a UX evaluation index system consisting of ffve primary indicators and 14 secondary indicators. Innovatively,the analytic network process is adopted for indicator weight allocation, which effectivelycharacterizes the interdependencies among indicators caused by multi-agent collaboration.Meanwhile, the coupling coordination theory is introduced to construct a comprehensiveUX index, enabling quantitative evaluation of the balanced development level across the ffve dimensions. The results show that in intelligent vehicle UX, excellence in a single dimension does not equal excellent overall UX. Only through the collaborative upgradingof multiple agents and balanced development of the ffve dimensions can the comprehensiveUX be maximized. This study further reveals the UX mechanism of multiagentcollaboration in intelligent vehicles and determines the optimal collaborative evolutionpath based on the dynamic programming algorithm, providing theoretical support and practical guidance for automakers in rational product development planning.

[关键词]user experience; intelligent vehicle; multi-agent collaboration; analytic network process; coupling coordination

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