Technological Innovation in the Media Sector: Understanding Current Practices and Unraveling Opportunities

Publication date

2024-05-11

Authors

Ooms, SimoneISNI 0000000524576212
Cesar, Pablo
El Ali, Abdallah
Ceolin, Davide
Hollink, Laura
Slokom, Manel
Pauwels, Eric
Robu, Valentin
La Poutre, Han

Editors

Advisors

Supervisors

Document Type

Part of book
Open Access logo

License

taverne

Abstract

AI technologies offer significant opportunities for the media sector, including content production, distribution, and audience engagement. This case study aims to bridge the technological expertise of the AI, Media & Democracy lab in the Netherlands to stakeholders in the media sector, identifying current technology implementation practices and outlining the potential of our technological expertise. First, a visual portfolio of the expertise of the researchers was created. Then, focus group workshops were held with broadcasters and media institutions, using an interactive online Miro environment. Results include insights on current implementation of the presented technologies by the media organizations, and opportunities for further implementation. Key takeaways are the broadcaster need for short-term implementation possibilities and the importance of having both B2C (broadcasters) and a B2B (the entire sector) perspectives present in focus groups to provide confirmation of findings and offer a broader viewpoint on the media landscape.

Keywords

artificial intelligence, case study, focus group, industry practice, media sector, Taverne, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Software

Citation

Ooms, S, Cesar, P, El Ali, A, Ceolin, D, Hollink, L, Slokom, M, Pauwels, E, Robu, V & La Poutre, H 2024, Technological Innovation in the Media Sector : Understanding Current Practices and Unraveling Opportunities. in CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems., 533, Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024, Hybrid, Honolulu, United States, 11/05/24. https://doi.org/10.1145/3613905.3637147, conference