PATENT CLAIM ANALYSIS

Application Number: 15959527
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["455", "414100"]

Abstract:
Apparatuses, systems, and methods are provided for analyzing an incoming telephonic event (e.g., call, message, and/or notification) to a mobile device during operation of a vehicle in relation to a combination of factors to determine if the incoming telephonic event is to be allowed to be received during vehicle operation. The mobile device associated with a driver of the vehicle may receive the incoming telephonic event during operation of the vehicle. An incoming telephonic event analysis application operating on the mobile device may apply a soft block preventing the incoming telephonic event from being displayed on the mobile device. Based on the incoming telephonic event data, vehicle operational data, user preferences, hands-free device activation, and driver and road ratings, the incoming telephonic event analysis application may determine whether or not to maintain the soft block or allow the incoming telephonic event to be displayed on the mobile device during operation of the vehicle.

Claim (Index 13):
The apparatus of  claim 8 , wherein the memory stores further computer-readable instructions that, when executed by the processor, cause the apparatus to:\n receive an additional incoming telephonic event; prevent the additional incoming telephonic event from being displayed based on the calculated driver risk score and the calculated road risk score; and generate a rollup comprising data associated with the additional incoming telephonic event.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 91.0
- Lexical Diversity: 2.34722
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15284728', '15284801', '13770634', '15914040', '15347211']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6951758049107264
- 35 USC 102 Novelty (BERT): 0.5875508276972161
- Combined Prediction Score: 0.6844133071893754
- Mean Citation Score: 314.347212
- Max Citation Score: 513.77594
- Similarity Product: 398.9091599879074

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

Dataset: test