@article{ART003197573},
author={Ji Yang and Zhi-Zhong Xiao and Zi-Yang Liu},
title={Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={4},
pages={151-160}
TY - JOUR
AU - Ji Yang
AU - Zhi-Zhong Xiao
AU - Zi-Yang Liu
TI - Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 4
PB - The Korean Society Of Computer And Information
SP - 151
EP - 160
SN - 1598-849X
AB - This study explores consumer attitudes toward virtual reality (VR) devices by analyzing user comments text from China’s Bilibili platform. Using the Latent Dirichlet Allocation (LDA) topic model, it identifies four key areas of focus: (1) performance and immersive experience, covering video quality, gaming latency, and network stability; (2) brand innovation and technological progress, featuring companies like Apple, Huawei, and Sony; (3) health and usage factors, including eye comfort and spatial needs; and (4) content ecosystem and promotion, addressing video diversity and marketing strategies. The analysis reveals that consumers prioritize high-performing hardware for immersion, reliable network support, and ergonomic design to mitigate eye strain, alongside accessible content. This social media text-mining approach fills a gap in VR user feedback research, providing manufacturers with actionable insights for optimizing device performance and health features, while informing content creators about user preferences. Innovatively, it links cultural influences to technology adoption, offering practical recommendations for product enhancements and new research directions for the global VR industry’s development.
KW - Virtual reality(VR);Latent Dirichlet Allocation(LDA);Social media;Consumer needs
DO -
UR -
ER -
Ji Yang, Zhi-Zhong Xiao and Zi-Yang Liu. (2025). Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data. Journal of The Korea Society of Computer and Information, 30(4), 151-160.
Ji Yang, Zhi-Zhong Xiao and Zi-Yang Liu. 2025, "Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data", Journal of The Korea Society of Computer and Information, vol.30, no.4 pp.151-160.
Ji Yang, Zhi-Zhong Xiao, Zi-Yang Liu "Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data" Journal of The Korea Society of Computer and Information 30.4 pp.151-160 (2025) : 151.
Ji Yang, Zhi-Zhong Xiao, Zi-Yang Liu. Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data. 2025; 30(4), 151-160.
Ji Yang, Zhi-Zhong Xiao and Zi-Yang Liu. "Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data" Journal of The Korea Society of Computer and Information 30, no.4 (2025) : 151-160.
Ji Yang; Zhi-Zhong Xiao; Zi-Yang Liu. Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data. Journal of The Korea Society of Computer and Information, 30(4), 151-160.
Ji Yang; Zhi-Zhong Xiao; Zi-Yang Liu. Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data. Journal of The Korea Society of Computer and Information. 2025; 30(4) 151-160.
Ji Yang, Zhi-Zhong Xiao, Zi-Yang Liu. Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data. 2025; 30(4), 151-160.
Ji Yang, Zhi-Zhong Xiao and Zi-Yang Liu. "Analyzing Consumer Feedback on Virtual Reality Devices: A Latent Dirichlet Allocation(LDA) Approach Using Chinese Social Media Data" Journal of The Korea Society of Computer and Information 30, no.4 (2025) : 151-160.
