心理科学进展2026，Vol.34Issue(9)：1590-1605,16.DOI:10.3724/SP.J.1042.2026.1590
生成式人工智能个性化推荐对旅游信息决策的影响
The impact of generative AI personalized recommendations on tourists' travel decision-making
摘要
Abstract
Generative artificial intelligence(GAI)personalized recommendations are reshaping tourists'decision-making.Based on the 5A model,this study divides the pre-travel stage into three phases:travel need recognition,itinerary planning,and booking decision-making.It examines how different types of GAI personalized recommendations influence tourists'information search behaviors and decision-making across these phases.The research comprises three studies.First,drawing on information processing theory and the Heuristic-Systematic Model,it examines the mechanisms and boundary conditions through which proactive(vs.Reactive)GAI-driven personalized recommendations during the travel need recognition stage affect tourists'continuance intention to use GAI.Second,from a trust perspective,it explores how personalized recommendation with high(vs.low)adaptive algorithms during the itinerary planning stage influence tourist satisfaction.Third,from the perspectives of human-AI collaboration and cue filtering theory,it investigates how personalized recommendation provided by GAI(vs.human-GAI collaboration)during the booking decision stage affect tourists'acceptance of GAI recommendations.The findings provide practical theoretical foundations and managerial implications for optimizing GAI-driven tourism information search and personalized recommendation systems.关键词
生成式人工智能/个性化推荐类型/旅游信息决策/信息处理理论/5A模型Key words
generative artificial intelligence/personalized recommendation types/tourism information decision-making/Information Processing Theory/5A model分类
社会科学引用本文复制引用
宋潇潇,凌小蝶,谷慧敏,马双..生成式人工智能个性化推荐对旅游信息决策的影响[J].心理科学进展,2026,34(9):1590-1605,16.基金项目
国家自然科学基金项目(72502012,72572033,72332010,72072006) （72502012,72572033,72332010,72072006）
国家社科基金项目(21AGL016) （21AGL016）
北京第二外国语学院科研项目(KYZX25A012) （KYZX25A012）
北京市属高校基本科研业务费专项资金资助项目(XJQN25A006). （XJQN25A006）
