Exploring Multimodal Feedback Mechanisms for Improving User Interaction in Virtual Reality Environments
DOI:
https://doi.org/10.70393/6a69656173.323331ARK:
https://n2t.net/ark:/40704/JIEAS.v2n6a05Disciplines:
Virtual RealitySubjects:
Multimodal Feedback MechanismsReferences:
40Keywords:
Multimodal Feedback Mechanisms, Virtual Reality Interaction, Enhanced User Experience, Haptic Feedback, Immersive Human-Computer InteractionAbstract
As Virtual Reality (VR) technology progresses, the need for intuitive and immersive interaction mechanisms becomes increasingly important. However, current VR systems primarily rely on visual and auditory feedback, often overlooking other sensory modalities, which limits the depth of user immersion. While visual and auditory inputs allow users to perceive virtual objects and sounds, the experience remains somewhat one-dimensional compared to real-world, multi-sensory interactions. To address this limitation, this paper explores the impact of multimodal feedback mechanisms, particularly through the incorporation of haptic (touch) and olfactory (smell) cues, on user experience in VR environments. By enriching the sensory inputs, these additional feedback mechanisms can significantly enhance the realism and intuitiveness of virtual interactions, making the experience more engaging and immersive.
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Zhong, Y. N. (2024). Optimizing the Structural Design of Computing Units in Autonomous Driving Systems and Electric Vehicles to Enhance Overall Performance Stability. International Journal of Advance in Applied Science Research, 3, 93-98.
Zhong, Y. (2024). Enhancing the Heat Dissipation Efficiency of Computing Units Within Autonomous Driving Systems and Electric Vehicles.
Yan, Y., Guo, F., Mo, H., & Huang, X. (2024, March). Hierarchical Tracking Control for a Composite Mobile Robot Considering System Uncertainties. In 2024 16th International Conference on Computer and Automation Engineering (ICCAE) (pp. 512-517). IEEE.
Chen, Q., Li, D., & Wang, L. (2024). Network Security in the Internet of Things (IoT) Era. Journal of Industrial Engineering and Applied Science, 2(4), 36-41.
Qiao, Y., Li, K., Lin, J., Wei, R., Jiang, C., Luo, Y., & Yang, H. (2024, June). Robust domain generalization for multi-modal object recognition. In 2024 5th International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) (pp. 392-397). IEEE.
Sheng, Z., Li, Y., Li, Z., & Liu, Z. (2019, August). Displacement Measurement Based on Computer Vision. In 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (pp. 448-453). IEEE.
Wang, H., Wang, G., Sheng, Z., & Zhang, S. (2019). Automated segmentation of skin lesion based on pyramid attention network. In Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings 10 (pp. 435-443). Springer International Publishing.
Xu, C., Yu, J., Chen, W., & Xiong, J. (2024, January). Deep learning in photovoltaic power generation forecasting: Cnn-lstm hybrid neural network exploration and research. In The 3rd International Scientific and Practical Conference (Vol. 363, p. 295).
Zhu, M., Zhang, Y., Gong, Y., Xu, C., & Xiang, Y. (2024). Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach. arXiv preprint arXiv:2405.00026.
Wu, J., Qu, P., Zhang, B., & Zhou, Z. (2024). Sentiment Analysis in Social Media: Leveraging BERT for Enhanced Accuracy. Journal of Industrial Engineering and Applied Science, 2(4), 143-149.
Chen, Q., Li, D., & Wang, L. (2024). The Role of Artificial Intelligence in Predicting and Preventing Cyber Attacks. Journal of Industrial Engineering and Applied Science, 2(4), 29-35.
Zhang, B., Xiao, J., Yan, H., Yang, L., & Qu, P. (2024). Review of NLP Applications in the Field of Text Sentiment Analysis. Journal of Industrial Engineering and Applied Science, 2(3), 28-34.
Dang, B., Ma, D., Li, S., Qi, Z., & Zhu, E. (07 2024). Deep learning-based snore sound analysis for the detection of night-time breathing disorders. Applied and Computational Engineering, 76, 109–114. doi:10.54254/2755-2721/76/20240574
Chen, Q., & Wang, L. (2024). Social Response and Management of Cybersecurity Incidents. Academic Journal of Sociology and Management, 2(4), 49-56.
Song, C. (2024). Optimizing Management Strategies for Enhanced Performance and Energy Efficiency in Modern Computing Systems. Academic Journal of Sociology and Management, 2(4), 57-64.
Li, D., Chen, Q., & Wang, L. (2024). Phishing Attacks: Detection and Prevention Techniques. Journal of Industrial Engineering and Applied Science, 2(4), 48-53.
Song, C., Zhao, G., & Wu, B. (2024). Applications of Low-Power Design in Semiconductor Chips. Journal of Industrial Engineering and Applied Science, 2(4), 54–59.
Zhao, G., Song, C., & Wu, B. (2024). 3D Integrated Circuit (3D IC) Technology and Its Applications. Journal of Industrial Engineering and Applied Science, 2(4), 60–65.2
Kholmatov, S. (2024). Multimodal Sentiment Analysis: A Study on Emotion Understanding and Classification by Integrating Text and Images. Academic Journal of Natural Science, 1(1), 51-56.
Lin, W., Xiao, J., & Cen, Z. (2024). Exploring Bias in NLP Models: Analyzing the Impact of Training Data on Fairness and Equity. Journal of Industrial Engineering and Applied Science, 2(5), 24-28.
Dang, B., Zhao, W., Li, Y., Ma, D., Yu, Q., & Zhu, E. Y. (2024). Real-Time Pill Identification for the Visually Impaired Using Deep Learning. 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE), 552–555. doi:10.1109/CISCE62493.2024.10653353
Guo, F., Mo, H., Wu, J., Pan, L., Zhou, H., Zhang, Z., ... & Huang, F. (2024). A hybrid stacking model for enhanced short-term load forecasting. Electronics, 13(14), 2719.
Zhao, G., Li, P., Zhang, Z., Guo, F., Huang, X., Xu, W., ... & Chen, J. (2024). Towards sar automatic target recognition multicategory sar image classification based on light weight vision transformer. arXiv preprint arXiv:2407.06128.
Sun, Y., & Ortiz, J. (2024). Data Fusion and Optimization Techniques for Enhancing Autonomous Vehicle Performance in Smart Cities. Journal of Artificial Intelligence and Information, 1, 42-50.
Sokolov, A., Sabelli, F., Li, W., & Seco, L. A. (2023). Towards Automating Causal Discovery in Financial Markets and Beyond. Behzad and Li, Wuding and Seco, Luis A., Towards Automating Causal Discovery in Financial Markets and Beyond (December 27, 2023).
Wu, J., & Xiao, J. (2024). Application of Natural Language Processing in Network Security Log Analysis. Journal of Computer Technology and Applied Mathematics, 1(3), 39-47.
Xiao, J., & Wu, J. (2024). Transfer Learning for Cross-Language Natural Language Processing Models. Journal of Computer Technology and Applied Mathematics, 1(3), 30-38.
Wu, B., Song, C., & Zhao, G. (2024). Applications of Heterogeneous Integration Technology in Chip Design. Journal of Industrial Engineering and Applied Science, 2(4), 66–72.
Song, C., Wu, B., & Zhao, G. (2024). Optimization of Semiconductor Chip Design Using Artificial Intelligence. Journal of Industrial Engineering and Applied Science, 2(4), 73–80.
Li, W. (2024). User-Centered Design for Diversity: Human-Computer Interaction (HCI) Approaches to Serve Vulnerable Communities. Journal of Computer Technology and Applied Mathematics, 1(3), 85-90.
Wang, L., Xu, Z., Stone, P., & Xiao, X. (2024). Grounded curriculum learning. arXiv preprint arXiv:2409.19816.
Sheng, Z., Wu, F., Zuo, X., Li, C., & Qiao, Y. (2024). LProtector: An LLM-driven Vulnerability Detection System. arXiv. https://arxiv.org/abs/2411.06493
Yan, H., Xiao, J., Zhang, B., Yang, L., & Qu, P. (2024). The Application of Natural Language Processing Technology in the Era of Big Data. Journal of Industrial Engineering and Applied Science, 2(3), 20-27.
Zhang, W., Huang, J., Wang, R., Wei, C., Huang, W., & Qiao, Y. (2024). Integration of Mamba and Transformer--MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics. arXiv preprint arXiv:2409.08530.
Yi, X., & Qiao, Y. (2024). GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction. arXiv preprint arXiv:2404.10928.
Sun, Y., & Ortiz, J. (2024). Machine Learning-Driven Pedestrian Recognition and Behavior Prediction for Enhancing Public Safety in Smart Cities. Journal of Artificial Intelligence and Information, 1, 51-57.
Song, C., Wu, B., & Zhao, G. (2024). Applications of Novel Semiconductor Materials in Chip Design. Journal of Industrial Engineering and Applied Science, 2(4), 81–89.
Li, W. (2024). Transforming Logistics with Innovative Interaction Design and Digital UX Solutions. Journal of Computer Technology and Applied Mathematics, 1(3), 91-96.
Chen, Q., Li, D., & Wang, L. (2024). Blockchain Technology for Enhancing Network Security. Journal of Industrial Engineering and Applied Science, 2(4), 22-28.
Li, D., Chen, Q., & Wang, L. (2024). Cloud Security: Challenges and Solutions. Journal of Industrial Engineering and Applied Science, 2(4), 42-47.
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