Tubi Launches AI-Powered 'Scenes' Feature to Enhance Content Discovery

Tubi Introduces 'Scenes' to Revolutionize Content Discovery

Tubi, the free ad-supported streaming TV service owned by Fox, has launched a new feature called 'Scenes' aimed at transforming how users discover content on its platform. This innovative tool, now available on iOS and Android devices, leverages artificial intelligence and machine learning to offer a unique viewing experience 1

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How Scenes Works

The Scenes feature presents users with 60- to 90-second video clips from Tubi's extensive library of over 250,000 movies and TV episodes. Users can scroll through these clips in a manner similar to popular social media platforms like TikTok or Instagram Reels 2

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AI-Powered Curation with Human Touch

Tubi employs a combination of AI-powered machine learning tools and human curators to select the most intriguing clips from its vast catalog. The AI algorithms generate a pool of clips, which are then curated by Tubi's team to ensure quality and relevance 3

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User Interaction and Personalization

As users interact with Scenes, they have several options:

1. Watch the full-length video immediately
2. Save the title to their watchlist
3. Like the clip to improve future recommendations

The more users engage with Scenes, the more personalized their content suggestions become, thanks to Tubi's machine learning engine 1

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Cross-Platform Integration

One of the key features of Scenes is its seamless integration across devices. Users can save titles to their 'My List' on mobile and access them later on any of the 30+ devices where Tubi is available, including smart TVs and streaming devices 2

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Addressing User Needs

Mike Bidgoli, Tubi's Chief Product and Technology Officer, emphasized that Scenes is designed to meet the needs of mobile users on the go. The feature aims to provide a balance between short-form video content and full-length streaming, all within a single app 2

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Potential Impact and Challenges

While Scenes offers an innovative approach to content discovery, its success will depend on user adoption. Questions remain about whether viewers will integrate this mobile-first feature into their TV watching habits or if it will primarily serve mobile-only users 3

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