Apple is seeking a patent on something it calls “Inferring user mood based on user and group characteristic data” that its application says would figure out how you are feeling and “… then deliver content that is selected, at least in part, based on the inferred mood.”
The application observes that “While the development of digital content delivery has enabled new techniques for identifying user characteristics, the user characteristics are often focused on a more general understanding of an individual’s interest in targeted content. This can lead to periods of time where the targeted content delivery is misaligned, thereby resulting in decreased satisfaction for both the content provider and the content receiver.”
It’s possible to figure out a user’s mood, the application continues, by asking them how they feel. But that approach “could quickly lead to user aggravation, and likely a majority of users reporting a similar mood.” Apple’s unobtrusive mood-detection plans rely on sniffing “recently consumed content” such as “a digital media item, a social networking activity, and/or an invitational content item response. Examples of digital media items can include apps, digital audio, digital videos, digital publications, webpages, invitational content, etc.”
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