VIRTUAL PERFORMANCES AND AI-DRIVEN AUDIENCE ANALYTICS
DOI:
https://doi.org/10.29121/shodhkosh.v6.i1s.2025.6653Keywords:
Virtual Performances, Artificial Intelligence, Audience Analytics, Machine Learning, Natural Language Processing, Audience EngagementAbstract [English]
Entertainment business is going into computers and this has brought a change in the manner shows are produced, shown and enjoyed. The creation of the interactive platform and the greater global connectivity has propelled the growth of the virtual performances as a dynamic substitute of the traditional live performances. These are digital programs, theatre, and music shows. In this paper, the author will discuss how artificial intelligence (AI) is changing crowd data to make virtual performance worlds more interesting, personal, and creative decision worlds. Newer, more established ways of gauging an audience that relied on feedbacks of individuals and basic demographics is being rapidly phased out by intelligent systems that have the capacity of capturing and analysing real time data. Using machine learning, AI models can be used to guess the emotion of people, how many they are engaged, and what they like with high precision. In other words, the methods of computer vision and emotion monitoring can determine the attention and emotions and natural language processing (NLP) can assist in making what is being said on social networks and chats, polls and social networks more complicated. Through this addition, virtual performance platforms can modify things such as lighting, music or even the performance of the story in real-time to better communicate to the audiences. Moreover, the information created on the basis of artificial intelligence will allow the manufacturers and producers to improve the strategies of their performance, increase the efficiency of marketing, and build the more profound emotional connections. The case studies of the digital experiences where AI has been used to enhance the experience, provide an example of how such systems may change the experiences to be more flexible, data-driven, and engaging.
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Copyright (c) 2025 Dr. Swarna Swetha Kolaventi, Amritpal Sidhu, Rashmi Manhas, Mandar K Mokashi, Dr. Aneesh Wunnava, Suhas Gupta
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