“Did you know that David Beckham speaks nine languages?”: AI-supported production process for enhanced personalization of audio-visual content

Abstract

The introduction of artificial intelligence (AI) into the media production process has contributed to the automation of selected tasks and stronger hybridization of man and machine in the process; however, the AI-supported production process has expanded from the traditional, three-stage model by a new phase of consumer evaluation and feedback collection, analysis, and application. This has opened a way for far-reaching content personalization and thus offers a new type of media experience. Powering the production process with a constant stream of consumer data has also affected the process itself and changed its nature from linear to cyclical.

Keywords:

• Media production process
• content personalization
• artificial intelligence
• production studies
• consumer experience

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Netherlands Organisation for Scientific Research under Grant KI.18.044.

Notes on contributors

Izabela Derda

Izabela Derda Ph.D. is a researcher and lecturer at Erasmus chool of History, Culture and Communication in Rotterdam, Netherlands. Her research interests lie in the investigation of the media as a practice, including networks, relationships and dynamics between the involved stakeholders, experience (co-)design and media production practices.