公开(公告)号：WO2019133706A1

公开(公告)日：2019-07-04

申请号：PCT/US2018/067666

申请日：2018-12-27

Applicant: DMAI, INC.

Inventor： FANG, Rui ,  LIU, Changsong

IPC: G06F3/0484

CPC classification number: G06F17/2785 ,  G06F16/90332 ,  G06F16/9035 ,  G06F17/279 ,  G06F17/2881 ,  G06N5/043 ,  G06N20/00

Abstract: The present teaching relates to method, system, medium, and implementations for user machine dialogue. Historic dialogue data related to past dialogues are accessed and used to learn, via machine learning, expected utilities. During a dialogue involving a user and a machine agent, a representation of a shared mindset between the user and the agent is obtained to characterize the current state of the dialogue, which is then used to update the expected utilities. Continuous expected utility functions are then generated based on the updated expected utilities, wherein the continuous expected utility functions are to be used in determining how to conduct a dialogue with a user.

公开(公告)号：WO2019133694A1

公开(公告)日：2019-07-04

申请号：PCT/US2018/067649

申请日：2018-12-27

Applicant: DMAI, INC.

Inventor： LIU, Changsong ,  FANG, Rui

IPC: G10L15/22 ,  G06T13/40

CPC classification number: G10L15/22 ,  G06K9/00302 ,  G06K9/00664 ,  G10L15/1815 ,  G10L15/24 ,  G10L25/63 ,  G10L2015/225 ,  G10L2015/228

Abstract: The present teaching relates to method, system, medium, and implementations for enabling communication with a user. Information representing surrounding of a user to be engaged in a new dialogue is received via the communication platform, wherein the information is acquired from a scene in which the user is present and captures characteristics of the user and the scene. Relevant features are extracted from the information. A state of the user is estimated based on the relevant features, and a dialogue context surrounding the scene is determined based on the relevant features. A topic for the new dialogue is determined based on the user, and a feedback is generated to initiate the new dialogue with the user based on the topic, the state of the user, and the dialogue context.

公开(公告)号：WO2019133715A1

公开(公告)日：2019-07-04

申请号：PCT/US2018/067680

申请日：2018-12-27

Applicant: DMAI, INC.

Inventor： SHUKLA, Nishant ,  FANG, Rui ,  LIU, Changsong

IPC: G10L15/22 ,  G06T13/40 ,  G06F17/28

CPC classification number: G10L15/22 ,  B25J11/0005 ,  G10L15/1815 ,  G10L15/1822 ,  G10L15/30 ,  G10L25/63 ,  G10L2015/223 ,  G10L2015/226

Abstract: The present teaching relates to method, system, medium, and implementations for an automated dialogue companion. Multimodal input data associated with a user engaged in a dialogue of a certain topic in a dialogue scene are first received and used to extract features representing a state of the user and relevant information associated with the dialogue scene. A current state of the dialogue characterizing the context of the dialogue is generated based on the state of the user and the relevant information associated with the dialogue scene. A response communication for the user is determined based on a dialogue tree corresponding to the dialogue of the certain topic, the current state of the dialogue, and utilities learned based on historic dialogue data and the current state of the dialogue.

公开(公告)号：WO2019133710A1

公开(公告)日：2019-07-04

申请号：PCT/US2018/067672

申请日：2018-12-27

Applicant: DMAI, INC.

Inventor： FANG, Rui ,  LIU, Changsong

IPC: G10L15/22 ,  G06T13/40 ,  G06F17/28

Abstract: The present teaching relates to method, system, medium, and implementations for user machine dialogue. An instruction is received by an agent device for rendering a communication directed to a user involved in a dialogue in a dialogue scene and is used to render the communication. A first representation of a mindset of the agent is updated accordingly after the rendering. Input data are received in one or more media types capturing a response from the user and information surrounding the dialogue scene and a second representation of a mindset of the user is updated based on the response from the user and the information surrounding of the dialogue scene. A next communication to the user is then determined based on the first representation of the mindset of the agent and the second representation of the mindset of the user.