Spotlight : Redefining Theatre Application Through AI-Driven Personalization and Community Engagement
Spotlight, a platform dedicated to the dramatic arts, aims to change spotlight at theatres and redefine the experience at theatres. This research paper aims to depict the evolution of Spotlight by emphasizing on its usage of Kotlin and Android Studio, making use of which it provides user-friendly UI. Spotlight is not only a mobile application, but it uses artificial intelligence (AI) which can generate personalized scripts automatically that are based on preferences, thus, enhancing user experience. Users, by recording and sharing their performances of the scripts, facilitate the community involvement and self-expression channel. What gives Spotlight the main benefit is their interactive community feature, which highlights ratings and supports everyone needs to create a feeling of belonging. This paper illustrates the engineering details of Kotlin, Android Studio, as well as AI integration, and the contributions of these in the development of Spotlight's cutting-edge features. Moreover, it scrutinizes the role played by the rating system in enhancing user interaction and strengthening the friendships. In a nutshell, Spotlight is a game-changing platform that leads towards a lively, fun, and possibly engaging theatre experience for everyone. The user gets a feel of belonging through the ratings, multilingual script generation, or even through other interactive functionalities. The research made was thus a larger application of AI in the performing arts, how scripts can then be transferred to the audience, or how the audience was incorporated in writing the scripts.
Authors
- Sujata Rane
- Richard Anthony (ORCID: https://orcid.org/0009-0003-4342-775X)
- Deepa Parasar (ORCID: https://orcid.org/0000-0002-2856-054X)
- Smriti Pillai
- Vedang Vaidya
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/ictbig64922.2024.10911220
- Citations
- 1
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.35