Lean Based and Artificial Intelligence Powered Support Framework for Independent Screen Entertainment Creators (CROSBI ID 70376)
Prilog u knjizi | ostalo | međunarodna recenzija
Podaci o odgovornosti
Buturac, Ivan Spajić ; Mršić, Leo ; Balković Mislav
engleski
Lean Based and Artificial Intelligence Powered Support Framework for Independent Screen Entertainment Creators
Our research is focused in helping new entrants into online comedy business and propose a solution that would enable them to enter a “virtuous cycle of success” very early on using digital technologies. We focus on these independent creators as they represent an enormous potential in future of the industry. Named, screen entertainment, term refers to audiovisual entertainment formats that were traditionally represented by movies and TV series, but have since gone through a transformation in the era of online entertainment, where format boundaries have become blurred. As part of our research, we are using many learnings from traditional movie and TV, acknowledging that the online screen entertainment is much more fluid and diverse. In paper, we first present the problem and run an overview of industry history in order to highlight existing business models and challenges they represent. Next, we provide an overview of existing methods already used in screen entertainment industries. Then, based on all the learnings we aim to propose solution most beneficial to independent creators. Our concept is inspired by Lean methodology, in which we approach early stage comedy in a similar fashion one might approach early stage startup companies using the Lean methodology: by introducing content with just enough features (or qualities) to analyze and test the market potential very early in the process.
Lean methodology, Screen entertainment, Online video creators, Advanced analytics, Video content analysis, Test screening
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Podaci o prilogu
226-237.
objavljeno
Podaci o knjizi
Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science
Sitek P., Pietranik M., Krótkiewicz M., Srinilta C.
Singapur: Springer
2020.
978-3-030-33585-4