PATENT CLAIM ANALYSIS

Application Number: 15906804
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["704", "232000"]

Abstract:
A Personal Virtual Assistant (PVA) system takes existing inputs and processes them to understand the user's personality, intent, etc., through analysis of features such as the user's tone, language use, vocal volume, facial expressions, and context from device use and surroundings. As a result of the processing, the PVA system augments how it responds and interacts with the user. Such augmented responses may include simple things like changing the assistant's tone to complimenting the user's mood, as well as changing her use of language, volume, and the way she shares information, like giving good news when the user might be down, or suppressing bad news when the time is not right for the user to optimally process it.

Claim (Index 20):
A method comprising:\n receiving communications from a user that elicit responses from a personal virtual assistant system; providing responses to the communications from the user; sensing at least the user's voice during at least one of the communications; collecting user state information relating to an emotional state of the user from at least the user's voice during the at least one of the communications; during the communications, determining from at least the collected user state information emotional states of the user using a machine learning model at different times during the communications; tracking an emotional state of the user during the communications using the user state information; and using a difference in emotional state during the communications as a label for at least one response to the communications provided to the user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 1.62791
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15461200', '14315049', '15156883', '15870210', '12504983']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.250230924621296
- 35 USC 102 Novelty (BERT): 0.4647188258055976
- Combined Prediction Score: 0.2716797147397262
- Mean Citation Score: 150.12613000000005
- Max Citation Score: 156.86453
- Similarity Product: 118.7835726954454

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