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首页> 外文期刊>Journal of travel research >Antecedents of Trust and Adoption Intention toward Artificially Intelligent Recommendation Systems in Travel Planning: A Heuristic-Systematic Model
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Antecedents of Trust and Adoption Intention toward Artificially Intelligent Recommendation Systems in Travel Planning: A Heuristic-Systematic Model

机译:信任和通过意向于旅行计划的人工智能推荐系统的前进者:启发式系统模型

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摘要

Drawing on the dual process theory, this study investigates the impacts of systematic and heuristic cues on travelers’ cognitive trust, emotional trust, and adoption intention toward artificial intelligence (AI)–based recommendation systems in travel planning. The moderating effect of perceived risk is also examined. Two studies with both scenario-based surveys and lab experiment approaches are conducted. Findings suggest that while travelers utilize both systematic and heuristic cues, effects of systematic cues on adoption as a decision aid is stronger than the effects of heuristic cues. Emotional trust has a stronger impact on intention to adopt as a delegated agent than cognitive trust. Perceived risk moderates the relationships between systematic and heuristic cues, trust, and adoption intentions. When travelers perceive high risk, they rely more on systematic cues through building cognitive trust. However, when the level of perceived risk is low, travelers depend more on heuristic cues through establishing emotional trust.
机译:绘制在双程工艺理论上,本研究调查了系统和启发式提示对旅行者认知信托,情感信任和采用意图对人工智能(AI)的行程规划中的推荐系统的影响。还检查了感知风险的调节效果。进行了两种基于情景的调查和实验室实验方法的研究。调查结果表明,虽然旅行者利用系统和启发式提示,但系统性提示作为决策援助的采用的影响比启发式线索的影响更强大。情绪信任对委托代理人的意图具有比认知信托的意图更强。感知风险适度地调节系统和启发式线索,信任和采用意图之间的关系。当旅行者感知到风险很高时,他们通过建立认知信任来依赖系统性提示。然而,当感知风险水平低时,旅行者通过建立情感信任来依赖于启发式线索。

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