Sentiment analysis of AR and VR in multiple sectors using user experience from social media

Abstract

Augmented Reality (AR) and Virtual Reality (VR) technologies are revolutionizing how we engage with digital content, providing new experiences in gaming, entertainment, and beyond. Understanding users' opinions and attitudes around these developing technologies is critical for increasing adoption and user happiness. This study uses sentiment analysis approaches to analyze user experiences with AR and VR applications in the gaming and entertainment industries, utilizing data from social media platforms. The researchers used a combination of machine learning models, such as Naive Bayes, Support vector machine (SVM), and Random Forest, to determine whether user reviews and comments expressed positive or negative sentiment. The data show that people have a higher positive opinion of VR in gaming, with 46% expressing positive sentiments compared to 42% for AR gaming. In contrast, the entertainment sector reported a larger percentage of positive attitudes for AR (53.7%) than for VR (34.3%), implying that AR is better suited for immersive entertainment experiences. The study also identified critical aspects that influence user experiences, such as visual quality, comfort, and navigational challenges for VR and design, battery life, and confusing controls for AR. These insights can help developers and stakeholders improve the design and implementation of AR and VR technologies in order to better fulfill user needs and foster widespread adoption. The study helps to a better understanding of user impressions of AR and VR by conducting a complete sentiment analysis across many domains. The findings and conclusions addressed in this study can help to shape future research and development efforts in the AR and VR fields, ultimately boosting the quality and accessibility of these disruptive technologies.