PATENT CLAIM ANALYSIS

Application Number: 15886050
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["725", "012000"]

Abstract:
Techniques for conditional presentation of auxiliary information are provided. In one example, a computer-implemented method comprises determining, by a device operatively coupled to a processor, feedback information for a user in response to a media presentation, wherein the feedback information is indicative of a mental state of the user during presentation of the media presentation. The computer-implemented method can further comprise determining content of the media presentation associated with the mental state of the user, and determining auxiliary information about the content based on the mental state of the user. The computer-implemented method can further comprise providing, by the device, the content to a user device during the presentation of the media presentation and for rendering at the user device in association with presentation of the content.

Claim (Index 15):
The computer-implemented method of  claim 12 , wherein the monitoring the mental state of the user comprises:\n receiving feedback information identifying one or more facial expressions of the user made during the provision of the presentation to the user; and determining the mental state of the user based on the one or more facial expressions.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.65385
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15645593', '15208690', '15208776', '15474475', '15842334']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4506039044937417
- 35 USC 102 Novelty (BERT): 0.5776315185886646
- Combined Prediction Score: 0.463306665903234
- Mean Citation Score: 305.66351999999995
- Max Citation Score: 455.7307
- Similarity Product: 413.94510348011255

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test