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相关概念视频

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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分析AI驱动的聊天机器人如何影响目的地决策.

Miguel Orden-Mejía1, Mauricio Carvache-Franco2, Assumpció Huertas3

  • 1Facultat de Turisme i Geografia, Universitat Rovira I Virgili, Carrer Joanot Martorell, Vila-seca, Spain.

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此摘要是机器生成的。

目的地聊天机器人通过提高用户满意度和影响访问意图来增强旅行计划. 高质量的信息和感知到的乐趣是旅游业中持续使用聊天机器人的关键驱动因素.

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科学领域:

  • 旅游 旅游技术 技术 技术
  • 人与计算机的交互
  • 信息系统信息系统信息系统

背景情况:

  • 目的地聊天机器人是旅行计划中的新兴工具.
  • 了解用户接受因素对于优化它们在旅游业中的使用至关重要.
  • 像TAM,ECM和ISS这样的现有模型为这项研究提供了信息.

研究的目的:

  • 探索目的地聊天机器人如何影响用户体验和旅行计划中的决策.
  • 识别导致用户满意度和持续使用的心理,情感和技术因素.
  • 评估聊天机器人使用对访问目的地的意图的影响.

主要方法:

  • 一项对312名参与旅游活动的大学生进行的调查.
  • 使用结构化问卷来衡量信息质量,满意度,享受度,有用度和行为意图.
  • 采用结构方程建模 (SEM) 来分析构造之间的关系.

主要成果:

  • 信息质量对用户的满意度,感知到的乐趣和有用性有积极的影响.
  • 感知到的乐趣和有用性显著推动了持续使用聊天机器人.
  • 继续使用聊天机器人的意图强烈预测了访问目的地的意图.

结论:

  • 目的地聊天机器人可以显著提高用户满意度,并影响旅行决策.
  • 专注于信息质量,享受和实用性对于有效的聊天机器人设计至关重要.
  • 在旅游业采用聊天机器人为目的地管理和旅行者参与提供了实际的好处.