PATENT CLAIM ANALYSIS

Application Number: 15958510
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["704", "275000"]

Abstract:
Methods, systems, and related products that provide emotion-sensitive responses to user's commands and other utterances received at an utterance-based user interface. Acknowledgements of user's utterances are adapted to the user and/or the user device, and emotions detected in the user's utterance that have been mapped from one or more emotion features extracted from the utterance. In some examples, extraction of a user's changing emotion during a sequence of interactions is used to generate a response to a user's uttered command. In some examples, emotion processing and command processing of natural utterances are performed asynchronously.

Claim (Index 15):
A non-transitory computer readable medium comprising:\n an emotion processor having one or more sequences of emotion processor instructions that, when executed by one or more processors, causes the one or more processors to generate an output adapted to an emotion detected in a natural utterance; and one or more sequences of instructions which, when executed by one or more processors, cause the one or processors to:\n receive, via a user device, a natural utterance, the natural utterance including at least one emotion feature; \n extract the at least one emotion feature from the natural utterance; \n map each of the at least one emotion feature to an emotion; \n infer, based on the emotion, an inferred command of the natural utterance; and \n respond to the natural utterance at least by one or both of: 1) performing an action corresponding to the inferred command; and 2) providing a verbalized acknowledgement of the natural utterance adapted to the emotion.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 91.0
- Lexical Diversity: 1.74194
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15958340', '15958485', '12579233', '13053179', '11185092']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2864140981070525
- 35 USC 102 Novelty (BERT): 0.5523867012341521
- Combined Prediction Score: 0.3130113584197624
- Mean Citation Score: 282.82459200000005
- Max Citation Score: 424.61987
- Similarity Product: 374.3972012250464

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

Dataset: test