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 9):
A method for recommending tasks for a user to perform comprising:\n detecting, by a processor, a user's task efficiency in performing a task; using the processor to recommend, based on a results of said task efficiency detecting, a switch from a current real environment to one of: a virtual reality computing environment or an augmented reality computer environment; using the processor to recommend a task to performed in the switched computing environment, wherein upon switching to the switched computing environment, the user performs the recommended task in the switched environment; determining, using the processor, whether the user's efficiency in performing the task has increased; and repeating said task efficiency detecting in each subsequent real or a switched environment while the user performs the recommended task in the real or switched environment until the user's task efficiency has improved.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.04819
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13721276', '15717564', '15466348', '14997454', '15409430']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5749875136501311
- 35 USC 102 Novelty (BERT): 0.4764701350276368
- Combined Prediction Score: 0.5651357757878817
- Mean Citation Score: 150.49125
- Max Citation Score: 154.2976
- Similarity Product: 113.026599741745

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