PATENT CLAIM ANALYSIS

Application Number: 15891008
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "633000"]

Abstract:
An intelligent recommendation system and method for suggesting users perform various tasks in different reality systems to help user to maximize their productivity and achieve better satisfaction. By recognizing that a user is not efficient or unable to perform tasks well in real reality, the system suggests that the user try doing the similar task in a virtual reality (VR) or augmented reality (AR) environment and effects a physical switching to that environment for the user to practice and improve user's skill on the tasks. Further, by recognizing that user's emotions(e.g., sad or bad mood), the system further suggests the user to do certain things in the VR or AR environment to improve user's mood. The system and method continuously suggests performing tasks in VR or AR as needed, based on user's task efficiency score in real reality and any improvement occurred in RR when doing the task in VR.

Claim (Index 4):
The task recommender tool as claimed in  claim 3 , wherein the processor is further configured to:\n conduct a voice analysis on said recorded audio to determine that user's emotional state while performing the task in the current or switched reality environment.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.04819
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13721276', '15717564', '15466348', '14997454', '15409430']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.598105916997989
- 35 USC 102 Novelty (BERT): 0.5008324442584557
- Combined Prediction Score: 0.5883785697240357
- Mean Citation Score: 150.49125
- Max Citation Score: 154.2976
- Similarity Product: 92.87352516860962

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