US 11,887,592 B2Granted

Proactive incorporation of unsolicited content into human-to-computer dialogs

AssigneeGoogle Inc.

InventorsVladimir Vuskovic, Stephan Wenger, Zineb Ait Bahajji, Martin Baeuml, Alexandru Dovlecel, Gleb Skobeltsyn

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Abstract

Methods, apparatus, and computer readable media are described related to automated assistants that proactively incorporate, into human-to-computer dialog sessions, unsolicited content of potential interest to a user. In various implementations, based on content of an existing human-to-computer dialog session between a user and an automated assistant, an entity mentioned by the user or automated assistant may be identified. Fact(s)s related to the entity or to another entity that is related to the entity may be identified based on entity data contained in database(s). For each of the fact(s), a corresponding measure of potential interest to the user may be determined. Unsolicited natural language content may then be generated that includes one or more of the facts selected based on the corresponding measure(s) of potential interest. The automated assistant may then incorporate the unsolicited content into the existing human-to-computer dialog session or a subsequent human-to-computer dialog session.

Claims20

Dependent claims

A method implemented using one or more processors, the method comprising:

processing a voice input provided by a user as part of a dialog session involving the user and an automated assistant executed by one or more of the processors;
generating solicited natural language content, wherein the solicited natural language content is responsive to a request identified in the voice input based on the processing;
incorporating, by the automated assistant into the dialog session involving the user and the automated assistant, the solicited natural language content,
wherein the solicited natural language content comprises a fact;
determining, based on the request identified in the voice input and contextual information associated with the user, a measure of desirability of the user to receive unsolicited content;
in response to determining that the measure of desirability satisfies a threshold, causing unsolicited natural language content to be automatically output to the user without the user specifically requesting the unsolicited natural language content, wherein the unsolicited natural language output includes a query that is tangential to the request identified in the voice input based on the processing,
wherein the query incorporates the fact, and
wherein user interaction with the query initiates automated assistant interaction with an application;
and
in response to determining that the measure of desirability fails to satisfy the threshold, refraining from causing unsolicited natural language content to be automatically output to the user.

7 more elements

A system comprising one or more processors and memory storing instructions that, in response to execution of the instructions, cause the one or more processors to:

process a voice input provided by a user as part of a dialog session involving the user and an automated assistant executed by one or more of the processors to identify a request;
generate solicited natural language content, wherein the solicited natural language content is responsive to the request;
incorporate, by the automated assistant into the dialog session involving the user and the automated assistant, the solicited natural language content,
wherein the solicited natural language content comprises a fact;
determine, based on the request identified in the voice input and contextual information associated with the user, a measure of desirability of the user to receive unsolicited content;
in response the determination that the measure of desirability satisfies a threshold, cause unsolicited natural language content to be automatically output to the user without the user specifically requesting the unsolicited natural language content, wherein the unsolicited natural language output includes a query that is tangential to the request identified in the voice input,
wherein the query incorporates the fact, and
wherein user interaction with the query initiates automated assistant interaction with an application;
and
in response to the determination that the measure of desirability fails to satisfy the threshold, refrain from causing unsolicited natural language content to be automatically output to the user.

7 more elements

A non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by a processor, cause the processor to:

process a voice input provided by a user as part of a dialog session involving the user and an automated assistant executed by one or more of the processors to identify a request;
generate solicited natural language content, wherein the solicited natural language content is responsive to the request;
incorporate, by the automated assistant into the dialog session involving the user and the automated assistant, the solicited natural language content,
wherein the solicited natural language content comprises a fact;
determine, based on the request identified in the voice input and contextual information associated with the user, a measure of desirability of the user to receive unsolicited content;
in response the determination that the measure of desirability satisfies a threshold, cause unsolicited natural language content to be automatically output to the user without the user specifically requesting the unsolicited natural language content, wherein the unsolicited natural language output includes a query that is tangential to the request identified in the voice input,
wherein the query incorporates the fact, and
wherein user interaction with the query initiates automated assistant interaction with an application;
and
in response to the determination that the measure of desirability fails to satisfy the threshold, refrain from causing unsolicited natural language content to be automatically output to the user.

7 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/411,532Filed 25 Aug 2021 · continuation
Priority: 3 May 2017
Published: US 2021/0383809 A19 Dec 2021
Granted: 30 Jan 2024
Term ends: Not estimatedThe source records don’t support an estimate.

Classification9 codes

G10L 15/22
Speech recognition: procedures used during a speech recognition process, e.g. man-machine dialogue
G06F 40/295
Phrasal analysis, e.g. finite state techniques or chunking: named entity recognition
G06F 40/35
Semantic analysis: discourse or dialogue representation
G06F 40/56
Rule-based translation: natural language generation

Family

Application15/585,363Parent of this continuation · filed 3 May 2017
Application15/825,919Parent of this continuation · filed 29 Nov 2017
US 9,865,260 B1Parent of this continuation · filed 9 Jan 2018
Application16/549,403Parent of this continuation · filed 23 Aug 2019
US 10,482,882 B2Parent of this continuation · filed 19 Nov 2019
US 2021/0383809 A1Pre-grant publication · published 9 Dec 2021
US 11,114,100 B2Parent of this continuation
US 11,929,069 B2Related patent
US 2018/0322880 A1Published application
US 2019/0378511 A1Published application
US 11,887,592 B2This patent

From the US filing history. Foreign family members aren’t listed.