PATENT CLAIM ANALYSIS

Application Number: 16032926
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["705", "007290"]

Abstract:
Systems and methods are provided for providing a customized user experience. Providing a customized user experience may include receiving, from a graphical user interface displayed on a mobile device a user input indicative of a preferred level of interaction by the user, and monitoring, by a sensor, a facial expression of the user. Then, a first preference metric may be assigned to the user based on the monitored facial expression. Providing a customized user experience may further include monitoring, by a sensor, a behavior of the user, assigning a second preference metric based on the monitored behavior, and aggregating at least the user input, the first preference unit, and the second preference metric to generate a preference score of the user. The preference score may be stored in a central database, displayed on a remote device, and used to modify a customer service experience.

Claim (Index 21):
A computer-implemented method of providing a customized user experience, the method comprising:\n receiving, from a first device, a plurality of electromagnetic signals generated by a plurality of sensors, the first device being associated with a user; determining, by a processor, using triangulation, a movement of the user based on:\n strengths of the received electromagnetic signals; and \n locations of the sensors; \n requesting, by a second device, a history of a plurality of transactions associated with the user; requesting, by the second device, a first preference score associated with the user, the first preference score being stored in a central database; determining, by an image sensor positioned on the second device, an emotion metric of the user, wherein determining the emotion metric of the user comprises:\n recording a video of the user; \n separating the video into a plurality of frames; and \n processing the frames, by a machine-learning algorithm, to match the frames to one of a plurality of user emotions; \n varying the first preference score based on the emotion metric of the user to generate a second preference score, wherein varying the first preference score comprises:\n varying the first preference score to generate the second preference score that is more indicative of preferring more interaction based on the history of the plurality of transactions associated with the user if the emotion metric indicates positive emotion after interaction, wherein the second preference score is higher than the first preference score; or \n varying the first preference score to generate the second preference score that is more indicative of preferring less interaction based on the history of the plurality of transactions associated with the user if the emotion metric indicates negative emotion after interaction, wherein the second preference score is lower than the first preference score; and \n displaying the second preference score on at least one of the first device or the second device.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 95.0
- Lexical Diversity: 2.49231
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13838073', '11061974', '15398548', '15009606', '14329085']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0978397107805812
- 35 USC 102 Novelty (BERT): 0.4679214465606444
- Combined Prediction Score: 0.1348478843585875
- Mean Citation Score: 141.856772
- Max Citation Score: 144.3136
- Similarity Product: 103.00175106201172

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