CONVERSATION AGENT

1 . A system for a conversation agent, the system comprising:

a context module to determine a context of a conversation involving a first participant and a second participant;

a conversation history module to access a conversation history of the first participant and a conversation history of the second participant;

a conversation topic module to identify a conversation topic using the context of the conversation, the conversation history of the first participant, and the conversation history of the second participant; and

a presentation module to present the conversation topic to the first participant.

2 . The system of claim 1 , wherein to determine the context of the conversation, the context module is to:

receive sensor information describing a mental, emotional, or physical state of the first participant; and

determine an interest level of the first participant regarding the conversation.

3 . The system of claim 1 , wherein to determine the context of the conversation, the context module is to:

receive sensor information describing a mental, emotional, or physical state of the second participant; and

determine an interest level of the second participant regarding the conversation.

4 . The system of claim 2 , wherein the sensor information is obtained from a brain computer interface sensor.

5 . The system of claim 4 , wherein the brain computer interface detects alertness of the first participant, the alertness used to derive the interest level of the first participant.

6 . The system of claim 2 , wherein the sensor information is obtained from an image recognition sensor.

7 . The system of claim 6 , wherein the image recognition sensor detects gestures of the second participant, the gestures used to derive the interest level of the second participant.

8 . The system of claim 6 , wherein the image recognition sensor tracks eye movement of the second participant, the eye movement used to derive the interest level of the second participant.

9 . The system of claim 6 , wherein the image recognition sensor tracks facial expressions of the second participant, the facial expressions used to derive the interest level of the second participant.

10 . The system of claim 2 , wherein the sensor information is obtained from an audio sensor.

11 . The system of claim 10 , wherein the audio sensor tracks voice characteristics of the second participant, the voice characteristics used to derive the interest level of the second participant.

12 . The system of claim 2 , wherein the sensor information is obtained from a physiological sensor.

13 . The system of claim 12 , wherein the physiological sensor tracks heart rate of the first participant, the heart rate used to derive the interest level of the first participant.

14 . The system of claim 13 , further comprising:

an alert module to alert the first participant when the interest level of the first participant exceeds a threshold.

15 . The system of claim 14 , wherein the alert comprises an audio cue.

16 . The system of claim 15 , wherein the audio cue comprises a voice message.

17 . The system of claim 16 , wherein the voice message is presented to the first participant and is in a native language native of the second participant.

18 . The system of claim 14 , wherein the alert comprises a haptic cue.

19 . The system of claim 1 , wherein the conversation history of the first participant comprises a summary of topics of a previous conversation with the second participant.

20 . The system of claim 1 , wherein the conversation history of the first participant comprises follow up notes provided by the first participant regarding a previous conversation with the second participant.

21 . The system of claim 1 , wherein to identify the conversation topic, the conversation topic module is to:

model a conversation shape of the first participant based on the conversation history of the first participant;

model a conversation shape of the second participant based on the conversation history of the second participant; and

identify an intersection of the conversation shapes of the first and second participants, the intersection corresponding to the conversation topic.

22 . The system of claim 21 , wherein the conversation topic module is to:

identify a plurality of potential conversation topics from the intersection of the conversation shapes of the first and second participants; and

use a heuristic to identify the conversation topic from the plurality of potential conversation topics.

23 . A method of implementing a conversation agent on a compute device, the method comprising:

determining a context of a conversation involving a first participant and a second participant;

accessing a conversation history of the first participant and a conversation history of the second participant;

identifying a conversation topic using the context of the conversation, the conversation history of the first participant, and the conversation history of the second participant; and

presenting the conversation topic to the first participant.

24 . The method of claim 23 , wherein identifying the conversation topic comprises:

modeling a conversation shape of the first participant based on the conversation history of the first participant;

modeling a conversation shape of the second participant based on the conversation history of the second participant; and

identifying an intersection of the conversation shapes of the first and second participants, the intersection corresponding to the conversation topic.

25 . The method of claim 24 , further comprising:

identifying a plurality of potential conversation topics from the intersection of the conversation shapes of the first and second participants; and

using a heuristic to identify the conversation topic from the plurality of potential conversation topics.

26 . At least one machine-readable medium including instructions, which when executed by a machine, cause the machine to:

determine a context of a conversation involving a first participant and a second participant;

access a conversation history of the first participant and a conversation history of the second participant;

identify a conversation topic using the context of the conversation, the conversation history of the first participant, and the conversation history of the second participant; and

present the conversation topic to the first participant.

27 . The at least one machine-readable medium of claim 26 , further comprising instructions to access a personal history of the first participant, and wherein the instructions to identify the conversation topic include instructions to use the personal history of the first participant.

28 . The at least one machine-readable medium of claim 27 , wherein identifying the conversation topic comprises:

identifying a situation from the personal history of the first participant that is analogous to the context of the conversation; and

identifying the conversation topic based on the situation.

29 . The at least one machine-readable medium of claim 26 , further comprising instructions to access a personal history of the second participant, and wherein the instructions to identify the conversation topic comprise instructions to use the personal history of the second participant.

30 . The at least one machine-readable medium of claim 29 , wherein the instructions to accessing the personal history of the second participant comprise instructions to access a social network profile of the second participant.