Research Article
Research on Emotional Needs of AR Product Users Based on Online Review Mining
@INPROCEEDINGS{10.4108/eai.15-9-2023.2340876, author={Yan Zhou and Duanzheng Liu}, title={Research on Emotional Needs of AR Product Users Based on Online Review Mining}, proceedings={Proceedings of the 2nd International Conference on Art Design and Digital Technology, ADDT 2023, September 15--17, 2023, Xi’an, China}, publisher={EAI}, proceedings_a={ADDT}, year={2024}, month={1}, keywords={augmented reality; lda topic model; user emotional preference}, doi={10.4108/eai.15-9-2023.2340876} }- Yan Zhou
Duanzheng Liu
Year: 2024
Research on Emotional Needs of AR Product Users Based on Online Review Mining
ADDT
EAI
DOI: 10.4108/eai.15-9-2023.2340876
Abstract
This paper will provide a reference for the development and design of augmented reality devices in the metaverse era by analyzing users' emotional needs for existing AR products from the perspective of user-product interaction experience. This research mainly uses the method of text mining to obtain the user reviews of the top 100 augmented reality products from the Jingdong platform, and obtains 12,450 review information through de-duplication screening, and combines the LDA topic modeling method with the sentiment classification method to obtain The user's product perception attribute, which analyzes the user's perception and emotional preference characteristics of AR products. Based on this analysis, user emotional preferences and application design directions of augmented reality devices under the background of the metaverse are analyzed, providing reference for the development and design of future metaverse technology equipment.
