US 10,120,866 B1 · Conversational system user behavior identification

Abstract

Examples of the present disclosure describe systems and methods relating to conversational system user behavior identification. A user of the conversational system may be evaluated based on one or more factors. The one or more factors may be compared to an aggregated measure for a larger group of conversational system users, such that “anomalous” behavior (e.g., behavior that deviates from a normal behavior) may be identified. When a user is identified as exhibiting anomalous behavior, the conversational system may adapt its interactions with the user in order to encourage, discourage, or further observe the identified behavior. As a result, the conversational system may be able to verify a user's anomalous behavior, discourage the anomalous behavior, or take other action while interacting with the user.

Claims20

Dependent claims

A system comprising:

at least one processor;
and
memory storing instructions that, when executed by the at least one processor, cause the system to perform a set of operations, the set of operations comprising:
receiving, as part of a conversation session, a message from a user device, wherein the conversation session is between a user of the user device and an electronic conversational agent;
determining, based on the message and one or more factors associated with the conversation session, a behavior measure associated with the user;
determining, based on analyzing the behavior measure in relation to one or more historical factors associated with a subset of other users of the electronic conversational agent, whether the user is exhibiting anomalous behavior;
when it is determined that the user is exhibiting anomalous behavior, automatically adapting the electronic conversational agent based on the determined anomalous behavior;
and
continuing the conversation session based on the adapted electronic conversational agent.

6 more elements

A computer-implemented method for behavior evaluation of a user in a conversation session, comprising:

receiving, by a processor of a computer, a message from a user device, wherein the conversation session is between the user and an electronic conversational agent;
updating, based on the conversation session and one or more factors associated with the message, a behavior measure associated with the user;
determining, based on analyzing the behavior measure in relation to one or more historical factors associated with a subset of other users of the electronic conversational agent, whether the user is exhibiting anomalous behavior;
and
when it is determined that the user is exhibiting anomalous behavior, providing an indication to the electronic conversational agent to adapt one or more future communications with the user device based on the determined anomalous behavior.

2 more elements

A computer-implemented method for behavior evaluation of a user in a conversation session, comprising:

receiving, by a processor of a computer as part of the conversation session, a message from a user device, wherein the conversation session is between the user and an electronic conversational agent;
determining, based on the message and one or more factors associated with the conversation session, a behavior measure associated with the user;
determining, based on analyzing the behavior measure in relation to one or more historical factors associated with a subset of other users of the electronic conversational agent, whether the user is exhibiting anomalous behavior;
when it is determined that the user is exhibiting anomalous behavior, automatically adapting the electronic conversational agent based on the determined anomalous behavior;
and
continuing the conversation session based on the adapted electronic conversational agent.

3 more elements

Dependencies are inferred from the claim text.

Conversational system user behavior identification

Life of this patent

Conversational system user behavior identification

Life of this patent

Abstract

Claims20