System and methods for using presence data to estimate affect and communication preference for use in a presence system
View Patent ↗Exemplary embodiments described herein are directed to systems and methods that estimate a user's affect and communication preferences from presence data. The exemplary embodiments use a small set of features derived from a user's recent high level presence states. Exemplary embodiments also use features from broader classes of presence data. Utilizing features from a combination of presence data and recent presence states may provide improvement over estimates that users are able to make themselves. The exemplary embodiments further consider cost, burden on the user, and privacy issues in estimating affect and communication preferences.
1. A method, comprising:
determining presence data of a user;
deriving features from the presence data;
applying an estimation model to the derived features;
estimating an effect of a communication on a user based on a result of the applying; and
estimating a communication preference of the user based on the result of the applying,
wherein the presence data comprises at least one of a presence state indicating the user is in an office, a presence state indicating the user is in a building, a presence state indicating the user is connected remotely, a presence state indicating the user is available on a mobile device, a presence state indicating the user is with a visitor, and a presence state indicating there is no information about the user.
2. The method of claim 1 , wherein the applying the estimation model comprises estimating pleasure and arousal.
3. The method of claim 1 , further comprising recommending a communication medium based on the estimated affect.
4. The method of claim 1 , further comprising displaying the estimated effect of the communication on the user in a communication application.
5. The method of claim 1 , further comprising displaying the estimated communication preference on a communication application.
6. The method of claim 1 , wherein the presence data comprises a stream of presence states from a presence estimation system.
7. The method of claim 1 , further comprising collecting data of user input on a user device and deriving features on the collected data.
8. The method of claim 1 , wherein the presence data further comprises a date and time corresponding to the presence state.
9. A non-transitory computer readable medium storing instructions for execution by a processor, comprising:
determining presence data of a user;
deriving features from the presence data;
applying an estimation model to the derived features;
estimating an effect of a communication on a user based on a result of the applying; and
estimating a communication preference of the user based on the result of the applying,
wherein the presence data comprises at least one of a presence state indicating the user is in an office, a presence state indicating the user is in a building, a presence state indicating the user is connected remotely, a presence state indicating the user is available on a mobile device, a presence state indicating the user is with a visitor, and a presence state indicating there is no information about the user.
10. The non-transitory computer readable medium of claim 9 , wherein the applying the estimation model comprises estimating pleasure and arousal.
11. The non-transitory computer readable medium of claim 9 , further comprising recommending a communication medium based on the estimated affect.
12. The non-transitory computer readable medium of claim 9 , further comprising displaying the estimated effect of the communication on the user in a communication application.
13. The non-transitory computer readable medium of claim 9 , further comprising displaying the estimated communication preference on a communication application.
14. The non-transitory computer readable medium of claim 9 , wherein the presence data comprises a stream of presence states from a presence estimation system.
15. The non-transitory computer readable medium of claim 9 , further comprising collecting data of user input on a user device and deriving features on the collected data.
16. An apparatus, comprising:
a processor comprising:
a determining unit that determines presence data of a user;
a deriving unit that derives features from the presence data;
an applying unit that applies an estimation model to the derived features and outputs a result; and
an estimating unit that estimates an effect of a communication on a user based on the result and estimates a communication preference of the user based on the result,
wherein the presence data comprises at least one of a presence state indicating the user is in an office, a presence state indicating the user is in a building, a presence state indicating the user is connected remotely, a presence state indicating the user is available on a mobile device, a presence state indicating the user is with a visitor, and a presence state indicating there is no information about the user.
17. The apparatus of claim 16 , wherein the applying unit applies the estimation model by estimating pleasure and arousal.
18. The apparatus of claim 16 , further comprising a recommending unit that recommends a communication medium based on the estimated affect.
19. The apparatus of claim 16 , further comprising a displaying unit that displays estimated effect of the communication on the user in a communication application.
20. The apparatus of claim 16 , further comprising a displaying unit that displays the estimated communication preference on a communication application.
21. The apparatus of claim 16 , wherein the presence data comprises a stream of presence states from a presence estimation system.