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 artic...
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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-computerinteraction, 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.
As modern technology continues to evolve, human-computerinteraction (HCI) technology is becoming increasingly prevalent in various industries, including entertainment, e-commerce, education, artificial intelligence, ...
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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...
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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.
The arrival of human-computerinteraction (HCI) technology has mainly transformed all areas of education. This study discusses the use of HCI technology in college mental health education and its impact on teaching me...
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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 recogni...
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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.
The purpose of this paper is to explore the application potential of HCI (human-computerinteraction) technology under AI (artificial intelligence) in enterprise performance evaluation and the influence of abusive man...
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The purpose of this paper is to explore the application potential of HCI (human-computerinteraction) 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.
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 b...
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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.
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 ...
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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.
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