The Impact of VR Technology on the Interface Design of the Human-Computer Interaction Platform System
With the wide application of Virtual Reality (VR) technology in university education, the design of an efficient Human-Computer Interaction (HCI) interface is crucial for enhancing the learning experience and teaching effectiveness. This study constructs an experimental teaching platform based on VR technology, designs and evaluates an interactive interface suitable for college students. Meanwhile, it incorporates healthy psychological factors into the interface design to stimulate students’ learning interest and participation. Through the evaluation of the interface in actual user experience and experimental analysis, the effects of the interface’s color style and function design are assessed. The results show that students prefer the “relaxed” and “refined” color styles the most (mean value=4.1, 3.7), while the “serious” style is the least popular (M=2.1). Regarding function evaluation, the scores for operational relevance, convenience, and functional rationality are the highest (mean value=3.92, 3.79, 3.73). Moreover, the evaluation of operational interest reaches 71%, indicating that a user-friendly and interesting design is key to the learning experience. In terms of learning performance, the score of the VR-HCI group increases by 12.1 points, and the task time is shortened by 4.1 minutes, significantly exceeding that of the control group. This shows that the platform has advantages in improving learning efficiency and effectiveness. This study innovatively combines healthy psychology with VR-HCI interface design. It provides interface design guidelines and expands the theoretical research on VR in educational applications. Thus, it offers a novel and efficient teaching model for university experimental teaching and lays a practical foundation for designing intelligent and personalized interactive interfaces in the future.
Authors
- Xiao Lin (ORCID: https://orcid.org/0009-0009-1582-9771)
- Han Xue
Institutions
- Twitter (United States) (US)
Publication Details
- Journal
- Journal of Mechanics in Medicine and Biology
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1142/s0219519426400087
- Primary Topic
- Simulation and Modeling Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00