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 19):
The computer readable medium as claimed in  claim 17 , wherein the instructions further configure the at least one processor to:\n compute a task efficiency score based on one or more of: the detected user task efficiency and/or the user's emotional state when performing the task in the current environment or switched computing environment; and compare a user's task efficiency score from performing the task in the current or switched computing environment against that user's task efficiency score from performing a task in a prior real computing or switched computing environment to determine whether the user's efficiency in performing the task has increased or whether the user's emotional state has been elevated.

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): 0.6011997816263316
- 35 USC 102 Novelty (BERT): 0.4887418972549677
- Combined Prediction Score: 0.5899539931891952
- Mean Citation Score: 150.49125
- Max Citation Score: 154.2976
- Similarity Product: 103.90974033699035

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