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Hybrid recommendation system based on human-computer interaction technology and smart tourism

INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING 2025年第1期48卷 1-12页

作者： Yan, Jianan Wang, Meiqi Xue, Ruixiang Moutai Inst Dept Tourism Management Renhuai 564500 Guizhou Peoples R China Univ Putra Malaysia Sch Business & Econ Seri Kembangan 43300 Malaysia

With the development of information technology, people's demand for personalised and intelligent tourism experiences is increasing, and traditional recommendation systems can no longer meet this demand. This article proposes a design based on human-computer interaction technology and the concept of smart tourism, aiming to enhance users' personalised travel experience. Firstly, the study collects user preference and demand data through human-computer interaction, analyses the data using collaborative filtering algorithms, and then recommends personalised travel routes for users based on their interest characteristics, travel routes, and transportation modes. The experimental results show that the hybrid collaborative filtering algorithm proposed in this paper outperforms a single collaborative filtering algorithm in terms of recommendation accuracy, recall, coverage, and popularity, achieving the best recommendation performance at a k value of 50. Therefore, human-computer interaction technology and smart tourism concepts can help users achieve more comprehensive, accurate, and personalised travel recommendations.

关键词： tourism routes personalised recommendations smart tourism human-computer interaction technology collaborative filtering

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The Application of human-computer interaction technology in the Design of Digital Media Mobile Interface

The Application of Human-Computer Interaction Technology in ...

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2023 International Conference on Integrated Intelligence and Communication Systems, ICIICS 2023

作者： Lei, Jing Wuhan City Polytechnic Hubei Province Wuhan China

ISBN: (纸本)9798350315455

As modern technology continues to evolve, human-computer interaction (HCI) technology is becoming increasingly prevalent in various industries, including entertainment, e-commerce, education, artificial intelligence, and game development. The application of HCI is particularly critical in the field of digital media, especially when it comes to designing interfaces for digital media on mobile devices, where HCI forms the foundation of the entire design process. This article delves into the details of HCI technology, presenting an overview of human-computer interaction interfaces and exploring how to assess their usability. The discussion extends to the optimization of these interfaces using the GOMS model and the eventual development of a novel GOMS layered quantitative model. Practical testing of this design system has demonstrated that the application of HCI technology plays a pivotal role in enabling multi-screen interactions for digital media. The test results indicate that the utilization of this technology offers a new perspective on the development of digital media for mobile devices, making their use more efficient. The ongoing success of the digital media industry hinges on the continuous development and application of HCI technology. Looking forward, it is crucial to persist in exploring and improving this technology to create even more powerful and effective interfaces, propelling the growth of this field for years to come. © 2023 IEEE.

关键词： digital media on mobile end human-computer interaction technology interface design multi-screen interaction visual design

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Application of e-learning and new media teaching platform based on human computer interaction technology in civil and commercial law courses

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ENTERTAINMENT COMPUTING 2024年 50卷

作者： Mei, Chang JiaoZuo Normal Coll Jiaozuo 454000 Peoples R China

At present, the traditional teaching mode has been difficult to meet the students' needs for independent learning, interactive learning and diversified learning resources. Therefore, it is of great significance to develop an elearning platform that can provide rich learning resources and promote student participation and individualized learning to improve the teaching effect. The research adopts the e-learning new media teaching platform based on human-computer interaction technology, and combines the civil and commercial law courses. The e-learning platform provides personalized learning recommendations according to the students' learning conditions, interests and hobbies. It effectively stimulates the enthusiasm and initiative of students to learn. Teachers can monitor and evaluate students' learning situation in real time through the platform, so as to give better guidance and feedback. The e-learning new media teaching platform based on human-computer interaction technology can greatly improve students' learning effect and learning participation. With the help of the platform, students are easier to understand and master the course content, and through online discussion and interaction can better deepen the understanding and application of knowledge. Personalized learning recommendation also enables students to learn according to their own learning needs and improves their learning efficiency.

关键词： human-computer interaction technology E-learning New media teaching platform Civil and commercial law Curriculum application

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Gesture recognition based on modified Yolov5s

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IET IMAGE PROCESSING 2022年第8期16卷 2124-2132页

作者： Hu, Dunli Zhu, Jun Liu, Jiayu Wang, Jiaju Zhang, Xiaoping Beijing Key Lab Field Bus Technol & Automat Beijing 100144 Peoples R China North China Univ Technol Coll Elect & Control Engn Beijing 100144 Peoples R China

With the development of artificial intelligence technology, human-computer interaction technology through gestures, images and voices has gradually become a hot topic for discussion. A modified Yolov5s gesture recognition method is proposed in the field of human-computer cooperation by optimizing the network structure of Yolov5s backbone, CNN is replaced by Ghostbottleneck module to increase the target occlusion recognition rate. Secondly, tensor stitching is added to the output of Ghostbottleneck module for up sampling to strengthen the reuse of image features. Finally, the detection ability of the improved model in the face of complex environment is verified on the self-made data set. Experimental results show that, the mAP@0.5 (mean average precision) of the modified Yolov5s is 94.49%, the AP (average precision) is 94.2%. By comparing the Yolov5s algorithm, Yolov4 algorithm,Yolov3 algorithm and SSD algorithm, the detection accuracy of the modified method has been significantly improved, which can fully meet the application requirements of real-time detection of gesture-controlled robots.

关键词： convolutional neural nets deep learning (artificial intelligence) gesture recognition target occlusion recognition rate object detection Yolov5s algorithm Yolov5s backbone human-computer cooperation gesture recognition method artificial intelligence technology modified Yolov5 human-computer interaction technology gesture-controlled robots artificial intelligence Ghostbottleneck module feature extraction

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Knowledge Management in Relationship Among Abusive Management, Self-Efficacy, and Corporate Performance Under Artificial Intelligence

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JOURNAL OF GLOBAL INFORMATION MANAGEMENT 2022年第11期30卷 1-26页

作者： Li, Moye Shang, XianFa Liu, Na Pan, Xingchen Han, Fanshen Minist Culture & Tourism Lab Isl Tourism Resource Data Min & Monitoring Sanya Peoples R China Gachon Univ Seongnam South Korea Liaocheng Univ Liaocheng Shandong Peoples R China Gansu Univ Polit Sci & Law Business Sch Lanzhou Gansu Peoples R China

The purpose of this paper is to explore the application potential of HCI (human-computer interaction) technology under AI (artificial intelligence) in enterprise performance evaluation and the influence of abusive management and self-efficacy on enterprise performance. Guided by psychological theory, employees from a listed real estate enterprise are selected, and the research themes of abusive management, self-efficacy, and employee performance are assumed. Afterward, the employee job satisfaction and performance evaluation model and system interface based on deep learning BPNN (back propagation neural network), SVM (support vector machine) regression, and HCI are innovatively proposed. The results show that the HCI interface can be accessed accurately according to the employee's verbal instructions. BPNN model has reached the best performance at the iteration of 70 times, and all indexes have reached the expected employee satisfaction.

关键词： Abusive Management Artificial Intelligence BP Neural Network Enterprise Performance human-computer interaction technology Knowledge Management Self-Efficacy Support Vector Machine

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Research on Digital Protection technology of Based on Virtual Reality

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Procedia computer Science 2023年 228卷 315-324页

作者： Xiaoling Yu Ming Jiang Aijun Liu School of Foreign Languages Dalian Polytechnic University Dalian China School of Japanese Language and Culture Dalian University Dalian China

VR technology is a simulation of the virtual world. Users receive and respond to various sensory stimuli provided by the virtual environment with the help of special output and input devices, and interact with people and objects in the virtual world in a natural way to create an immersive feeling. Based on the virtual reality technology, the tourism intangible cultural heritage that has disappeared can be reproduced in front of people. Three technologies are specifically used. First, the three-dimensional modeling technology makes the real scene virtual reappearance, and produces a fully real three-dimensional effect. Second, three-dimensional panorama technology, which uses panoramic images to represent three-dimensional virtual environment, makes the picture effect more realistic. Third, human-computer interaction technology. After adding the somatosensory device, you can get an almost real interaction experience.

关键词： Virtual Reality technology Digital Protection Three-Dimensional Modeling technology Three-Dimensional Panorama technology human-computer interaction technology

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Virtual Dulcimer Auxiliary Teaching System Based on Musical Instrument Digital Interface

Virtual Dulcimer Auxiliary Teaching System Based on Musical ...

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International Symposium on Educational technology (ISET)

作者： Liu, Qingtang Ba, Shen Wu, Linjing Huang, Jingxiu Li, He Cent China Normal Univ Sch Educ Informat Technol Wuhan Hubei Peoples R China

ISBN: (纸本)9781538672099

In recent years, with the rapid progress of game development technology as well as human-computer interaction technology, game-based learning (GBL) has not only drew the attention of increasing number of researchers but this method has also been implemented into classrooms by teachers around the world. And the improvement for knowledge acquisition is being reported as the most frequently occurring outcome of GBL across a wide range of subjects like mathematics, physics, health etc. However, there are very limited cases where GBL being employed into music class especially for Chinese traditional musical instruments which are facing the danger of being lost since children today are far less likely to have a chance to play or listen to those beautiful instruments because schools usually focus more on the education of mainstream instruments like pianos and violins. Therefore, the present paper designs and develops an interactive virtual dulcimer auxiliary teaching system based on musical instrument digital interface, which in the future can be utilized as a tool in class to assist teaching or can be promoted as a self-teaching instrument.

关键词： game-based learning human-computer interaction technology musical instrument digital interface virtual reality

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