Publication Date: 2023/09/05
Abstract: In the context of swiftly progressing technological advances, Virtual Reality (VR) and Augmented Reality (AR) emerge as crucial developments with the potential to profoundly transform education, work environments, and society at large. This research article provides a thorough examination of the attitudes expressed by individuals towards VR and AR technology, as well as their corresponding experiences and views. The research used a custom sentiment analysis model that was trained using a dataset consisting of 107 responses obtained from a survey that was specifically created to investigate the various factors which influence the integration of AR and VR in daily life. Additionally, the survey aimed to measure the sentiments associated with these immersive technologies. The study utilizes machine learning techniques to identify subtle emotional nuances present in written responses. The sentiment analysis model is carefully constructed using a rigorous training method to assess each response and categorize sentiments into positive, negative, or neutral classifications. The factors that exert a significant influence on the integration of AR and VR technologies include the educational advantages, collaborative efforts in the workplace, and cost considerations. Furthermore, through the examination of sentiment predictions, this study reveals the range of emotions linked to the incorporation of VR and AR technologies into educational and professional environments.
Keywords: Augmented, Model, Machine Learning, Predictions.
DOI: https://doi.org/10.5281/zenodo.8318940
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23AUG1632.pdf
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