Method and system for building and utilizing interactive software system predictive models using biometric data
US9891792B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 30, 2015 |
| Grant date | Feb 13, 2018 |
| Priority date | — |
| Expiry date | Jun 15, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2203/011
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Biometric data is collected to obtain more detailed, connected, and reliable feedback data from users of an interactive software system that has a more empirical and objective basis. The biometric data is then used to create emotional pattern predictive model data representing emotional pattern predictive models associated with users of the interactive software system. The individual emotional pattern predictive models associated with multiple users of the interactive software system are then analyzed and processed to generate emotional pattern profile data for categories of users. These biometric data based predictive models are then used for targeted product diagnosis, targeted interventions, targeted marketing/upsell attempts, and grouping and analysis of feedback and user categories and feedback sources.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.