Method of tracing knowledge level of user consuming content and recommending content based on knowledge level of user, and computing device executing the same
US-2024323464-A1 · Sep 26, 2024 · US
US8973022B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8973022-B2 |
| Application number | US-201213553515-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 19, 2012 |
| Priority date | Mar 7, 2007 |
| Publication date | Mar 3, 2015 |
| Grant date | Mar 3, 2015 |
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Various embodiments of the present disclosure create a novel system for rating an event in a media based on the strength of the emotions viewers feel towards the event. The viewer's responses to the media can be measured and calculated via physiological sensors. The metric for rating the strength of the media is created based on the mathematical coherence of change (up or down) of all pertinent physiological responses across multiple viewers. Such rating offers an objective ability to compare the strengths of events of the media, as there is a strong correlation between high coherence of physiological responses (all viewers feel the same thing at the same time) and strong ratings of emotionality, engagement, likeability, success in the marketplace/on screen.
Opening claim text (preview).
What is claimed is: 1. A system comprising: a data analyzer to determine a first plurality of responses a first viewer has to a first event and a second event of media based on first physiological response data obtained from the first viewer while exposed to the first and second events, the data analyzer to determine a second plurality of responses a second viewer has to the first event and the second event of the media based on second physiological response data obtained from the…
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