With the rapid development of traditional industries, intelligent robots have been widely used in the hospitality industry. Although the development of intelligent robots faces a positive trend and a good market in the hospitality industry, it also faces the problem that robots cannot effectively collect and use user data in the field of human–computer interaction. It not only affects the interaction experience between users and robots, but also prevents companies from getting valuable feedback in a timely manner. In order for intelligent robots to effectively utilize interactive information, the user experience of robot entertainment is improved. This paper proposes and establishes a basic technical model called iRCXM. Combining the iRCXM model with a decision tree classification algorithm is excepted effectively improve the interaction experience between humans and robots in hospitality. This paper designs a model of intelligent robot based on decision tree algorithm. The model divides the user into three sections, each corresponding to a different standard function. Using a decision tree classification algorithm model is excepted effectively judge users’ current stage and whether they can move to the next stage. When the user reaches the final stage, it proves that the user has obtained a good interactive experience. At the same time, for users at different stages, the model will provide strategies for downward transformation so that companies can adjust and improve existing problems in a timely manner. In addition, the research developed a robot user interaction system based on the existing technology. The system is based on Android. Using HTTP protocol and Baidu Cloud AI API to realize simple face recognition and Sanbot-OpenSDK to implement simple robot control, the development of this system is to verify the feasibility of the model. The developed samples were tested in a real environment and feedback from customer experience was collected through semi-structured interviews. Finally, the feasibility of the model is verified.

随着传统产业的迅速发展，智能机器人已被广泛应用于酒店业。尽管智能机器人的发展在酒店业面临着积极的趋势和良好的市场，但也面临着机器人无法在人机交互领域有效收集和使用用户数据的问题。它不仅影响用户与机器人之间的交互体验，而且还会阻止公司及时获得有价值的反馈。为了使智能机器人有效地利用交互信息，改善了机器人娱乐的用户体验。本文提出并建立了称为iRCXM的基本技术模型。将iRCXM模型与决策树分类算法相结合，可以有效地改善人与机器人之间的互动体验。本文设计了一种基于决策树算法的智能机器人模型。该模型将用户分为三个部分，每个部分对应于不同的标准功能。使用决策树分类算法模型不能有效地判断用户的当前阶段以及他们是否可以进入下一阶段。当用户到达最后阶段时，证明用户获得了良好的交互体验。同时，该模型将为处于不同阶段的用户提供向下转换的策略，以便公司可以及时调整和改善现有问题。此外，该研究基于现有技术开发了机器人用户交互系统。该系统基于Android。使用HTTP协议和百度云AI API实现简单的人脸识别，并使用Sanbot-OpenSDK实现简单的机器人控制，该系统的开发是为了验证该模型的可行性。所开发的样本在真实环境中进行了测试，并通过半结构化访谈收集了来自客户经验的反馈。最后，验证了该模型的可行性。所开发的样本在真实环境中进行了测试，并通过半结构化访谈收集了来自客户经验的反馈。最后，验证了该模型的可行性。所开发的样本在真实环境中进行了测试，并通过半结构化访谈收集了来自客户经验的反馈。最后，验证了该模型的可行性。