Evaluation of Social interaction in virtual environments by using the method of MOORA
Virtual environments have become integral spaces for social interaction, blurring the lines between the physical and digital realms. This paper delves into the multifaceted aspects of social interaction in virtual environments, examining the current landscape and proposing innovative approaches to enhance and deepen these experiences. The study begins by surveying the existing literature on social interaction within virtual environments, highlighting key theories and frameworks that underpin the understanding of virtual social dynamics. Building upon this foundation, the paper explores the psychological and sociological aspects of human behavior in virtual spaces, considering factors such as presence, identity, and the impact of social cues. As virtual workspaces become more prevalent, understanding social dynamics in these environments becomes crucial. Research can help design effective virtual collaboration tools and platforms, optimizing communication and productivity for remote teams. Virtual environments are increasingly being used for therapeutic and healthcare purposes. Studying social interactions within these environments can aid in developing virtual interventions for mental health, phobia treatment, and rehabilitation, among other applications. Versatile with unique alternatives a new method for optimization is proposed MOORA. This method is objective denotes the matrix of responses of the alternatives, however, proposing better policies, which rates are used. Well established. Multi-objective another method for optimization is used for comparison, reference point method. Then, various competitions this proved to be the best choice among the methods. From the result Social VR Platforms is in 1st rank whereas Online Multiplayer Games is in last rank.
Publication Details
- Journal
- Trends in Finance and Economics
- Published
- 2025-03-15
- DOI
- https://doi.org/10.46632/tfe/2/4/8
- Primary Topic
- Virtual Reality Applications and Impacts
- Type
- article
- Field-Weighted Citation Impact
- 0.00