Exploration of Principles and Methods for Natural Interaction Design in Virtual Reality Environments

Authors

  • Lin Wang

DOI:

https://doi.org/10.54691/d2b0w665

Keywords:

Virtual reality, natural interaction design, user cognitive load, interaction principles, multimodal interaction, motion capture.

Abstract

With the increasing penetration rate of consumer grade virtual reality (VR) devices, interaction design has become a core element that constrains user immersion and user experience. Currently, most VR applications are still limited to non natural interaction modes such as controller buttons and complex commands, resulting in high learning thresholds and significant operational fatigue for users, making it difficult to achieve a "non sensory" immersive experience. This article focuses on the core orientation of "replicating the logic of real-life interaction and reducing user cognitive load", and combines cognitive psychology, ergonomics theory, and VR technology characteristics to systematically analyze the design principles and implementation paths of natural interaction in virtual reality environments. The study first defines the core characteristics of natural interaction and user needs, and then condenses five design principles such as "consistency of reality mapping", "immediacy of feedback", and "minimization of operating costs"; On this basis, from the dual dimensions of technical support and process methods, a multimodal interaction landing path based on motion capture, an iterative prototype testing scheme, and a scenario adaptation strategy are constructed. The research results can empower interactive design in VR games, education and training, medical rehabilitation and other fields, solve common problems in the industry such as "interaction fragmentation and immersion" and "imbalance between operation and experience", and promote the upgrading of VR technology from "usable" to "easy to use and user-friendly".

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References

[1] Azuma R, Baillot Y, Behringer R, etc. The latest progress in augmented reality [J]. IEEE Computer Graphics and Applications, 2002, 21 (6): 34-47

[2] Wang Guohua, Song Jiayin, Tian Lianghao, etc Can virtual reality technology help reduce learners' cognitive load? --Meta analysis based on 23 experimental and quasi experimental studies [J]. Open Education Research, 2023, 29 (04): 110-120. DOI: 10.13966/j.cnki. kfjyyj. 2023.04.011

[3] Cheng Yiting Research and Design of Multimodal Grammar and Gesture Set in VR Modeling Scene [D]. Beijing University of Posts and Telecommunications, 2021. DOI: 10.269699/ d.cnki. gbydu.2021.002832

[4] Zhao G, Yang Y, Liu J, etc Ev eye: Rethinking High Frequency Eye Tracking through Event Camera Lens [J]. Advances in Neural Information Processing Systems, 2023, 36:62169-62182

[5] Rahimi F, Sadeghi Niaraki A, Choi S. M. The Encounter of Generative Artificial Intelligence and Virtual Reality: A Comprehensive Review of Applications, Challenges, and Future Directions [J]. IEE Interview, 2025.

[6] Ding Y, Rich A, Wang M, et al. Sparse fusion for multimodal transformers[J]. arXiv preprint arXiv:2111.11992, 2021.

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Published

18-11-2025

Issue

Section

Articles

How to Cite

Wang, L. (2025). Exploration of Principles and Methods for Natural Interaction Design in Virtual Reality Environments. Frontiers in Humanities and Social Sciences, 5(11), 157-163. https://doi.org/10.54691/d2b0w665