# Virtual Try-On Systems in Fashion Consumption: A Systematic Review
## 4 Conclusions  
This comprehensive review synthesizes findings from 69 research papers to explore the influence of VTO systems on consumer behavior within the fashion industry. The analysis results show that research in this field advanced primarily after 2019 and is currently increasing. In terms of research methods, experiments were the most commonly used, accounting for 56.98% of the studies. Regarding VTO application environments, over 40% of studies focused on web-based VTO systems. Content analysis of the 69 articles identified key factors that directly influence consumers' purchasing decisions and adoption intentions, including attitudes, media exposure, symbolic gratification, technological gratification, emotional values, utilitarian values, and user attributes. Based on these insights, we developed conceptual frameworks that outline how these factors and their underlying elements shape consumers' purchasing behaviors and technology adoption processes. Finally, this research identified key gaps and proposed future directions, inspiring further interdisciplinary studies between information science and retail management to enrich our understanding and application of this transformative technology in the fashion industry.  
Despite the comprehensive nature of this literature review, several limitations must be acknowledged. Firstly, the review primarily focuses on English-language publications, which may overlook significant research conducted and published in other languages. Future research should extend the search to include non-English publications to capture a more diverse and comprehensive range of studies. Secondly, the included studies exhibit considerable variability in research design, sample characteristics, and methodologies. This diversity poses challenges in drawing definitive conclusions and making direct comparisons. While efforts were made to include only peer-reviewed publications, the quality and robustness of the studies' designs, data collection methods, and analyses vary, potentially influencing the reliability and generalizability of the synthesized findings. Future studies should aim to standardize research methodologies and enhance the quality and rigor of experimental designs to facilitate more consistent and reliable comparisons. Thirdly, the rapidly evolving nature of VTO systems means that some findings may quickly become outdated. Technological advancements, such as large language models (LLMs), have the potential to enhance personalization and user interaction in VTO systems. Future research should consider how such technologies might influence consumer behavior and adoption, ensuring that ongoing developments are reflected in studies of VTO technology. Lastly, future studies should consider longitudinal and experimental designs to provide deeper insights into the long-term effects and causal relationships in VTO technology adoption and consumer behavior.  
Conceptualization, C.C. and J.N.; methodology, C.C., J.N. and P.Z.; writing--original draft preparation, C.C. and J.N.; writing--review and editing, C.C., J.N. and P.Z.; supervision, C.C.; funding acquisition, C.C. All authors have read and agreed to the published version of the manuscript. This research was funded by the fundamental research funds for the central universities (2232021G-08, 2232020E-03) and Shanghai University Knowledge Service Platform (13S107024). The authors declare no conflicts of interest.