Systems and methods for inferring user traits based on indirect questions. Indirect questions may be generated based on one or more triggers. The answers to the indirect questions provide cues to a system as to whether a user has one or more attributes associated with a trait. This information may be used to personalize a computing device.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computing system comprising at least one processor operatively coupled to at least one computer storage device, the device housing instructions that, when executed, are capable of performing a method, the method comprising: receiving a trigger; generating an indirect question, wherein the indirect question is related to the trigger; receiving a response to the indirect question; and predicting a likelihood a user has an attribute associated with a trait. 2. The computing system of claim 1, where in the method further comprises: comparing the likelihood with a predetermined threshold; determining that the likelihood is greater than a predetermined threshold; and populating the trait with trait information that reflects the attribute. 3. The computing system of claim 2, wherein the populating the trait with trait information occurs by populating a user profile with trait information. 4. The computing system of claim 1, wherein the predicting the likelihood is done using a Bayesian model. 5. The computing system of claim 1, wherein the trigger is a digital assistant being first interacted with. 6. The computing system of claim 1, wherein the generating an indirect question occurs by selecting an indirect question for a predetermined list. 7. The computing system of claim 1, wherein the received response is received through a gesture input, text input, or voice input. 8. A computer implemented method, the method comprising: receiving a trigger; generating an indirect question, wherein the indirect question is related to the trigger; receiving a response to the indirect question; and predicting a likelihood a user has an attribute associated with a trait. 9. The method of claim 8 further comprising: comparing the likelihood with a predetermined threshold; determining that the likelihood is greater than a predetermined threshold; and populating the trait with the trait information. 10. The method of claim 9, wherein the populating the trait with trait information occurs by populating a user profile with trait information. 11. The method of claim 8, wherein the predicting the likelihood is done using a Bayesian model. 12. The method of claim 8, wherein the trigger is a digital assistant being first interacted with. 13. The method of claim 8, wherein the generating an indirect question occurs by selecting an indirect question for a predetermined list. 14. The method of claim 8, wherein the received response is received through a gesture input. 15. A computer storage device storing instructions that, when executed, perform the method of: receiving a trigger; generating an indirect question, wherein the indirect question is related to the trigger; receiving a response to the indirect question; and predicting a likelihood a user has an attribute associated with a trait. 16. The computer storage device of claim 15, wherein the method further comprises: comparing the likelihood with a predetermined threshold; determining that the likelihood is greater than a predetermined threshold; and populating the trait with the trait information. 17. The computing system of claim 16, wherein populating the trait with trait information occurs by populating a user profile with trait information. 18. The computer storage device of claim 15, wherein the predicting the likelihood is done using a Bayesian model. 19. The computer storage device of claim 15, wherein the trigger is a digital assistant being first interacted with. 20. The computer storage device of claim 15, wherein the generating an indirect question occurs by selecting an indirect question for a predetermined list.