The Impact of Virtual Reality on Social Interaction and Relationship via Statistical Analysis

Abstract

The digital environment is rapidly expanding with the advancement of technologies. This research aims to quantitatively measure the impact of Virtual Reality (VR) on social interactions and relationships by focusing on variables such as duration and frequency of VR use, type of VR headset, and user demographics (age and gender). Qualitative data was collected from online data repositories and previous studies. Statistical analysis was employed on data from 1,000 participants using SPSS to uncover significant patterns in VR social experiences. The findings reveal that age, motion sickness, and immersion levels have minimal impact on VR usage duration, while these factors significantly determine user engagement levels and social interaction. These results challenge previous assumptions about the role of demographic variables in VR experiences. The research provides valuable insights for VR creators, social scientists, and policymakers, highlighting the need for further exploration of additional factors that may influence VR's social impact. Utilizing both descriptive and inferential statistics, this study offers a comprehensive understanding of VR's influence on social dynamics. The limitations of the research are acknowledged, and recommendations for future studies are proposed to enhance the responsible integration of VR into social contexts.