Smartphone indicator for conversation nonproductivity

Patent metadata

Field	Value
Publication number	US-9722965-B2
Application number	US-201514608393-A
Country	US
Kind code	B2
Filing date	Jan 29, 2015
Priority date	Jan 29, 2015
Publication date	Aug 1, 2017
Grant date	Aug 1, 2017

Abstract

A method to send an alert for nonproductivity associated with a conversation is provided. The method may include recording a plurality of communication outputs of at least two users engaged in a remote message exchange or a remote conversation. The method may also include creating a plurality of text tokens based on the recorded plurality of communication outputs. The method may include analyzing, by a graphical text analyzer, the created plurality of text tokens to determine whether the plurality of text tokens has fallen below a threshold. The method may further include sending an alert to the plurality of users involved in the conversation if it is determined that the plurality of text tokens has fallen below the threshold.

First claim

What is claimed is:

1. A method to send an alert for nonproductivity associated with an online conversation, the method comprising:
recording a plurality of communication outputs of at least two users engaged in a remote message exchange or a remote conversation, wherein the remote message exchange and the remote conversation are associated with an online communication system on a first mobile device and a second mobile device;
creating a plurality of text tokens based on the recorded plurality of communication outputs;
analyzing, by a graphical text analyzer, the created plurality of text tokens to determine the plurality of text tokens has fallen below a threshold, wherein determining if the plurality of text tokens has fallen below the threshold comprises comparing a plurality of graphs associated with the remote message exchange and the remote conversation to a prior plurality of graphs associated with a plurality of prior remote message exchanges and prior conversations;
wherein the analyzing further comprises utilizing a speaker identity feature extractor, a syntactic feature extractor, and a semantic feature extractor to analyze the recorded plurality of communication outputs;
using a graph constructor and a graph feature extractor, in conjunction with results from the speaker identity feature extractor, the syntactic feature extractor, and the semantic feature extractor to create a hybrid graph, wherein the hybrid graph comprises nodes representing words or phrases, edges representing temporal precedence in speech, and each node includes a feature vector comprising syntactic and semantic vectors, plus additional non-textual features;
constructing, by a learning engine, a predictive model or classifier using the hybrid graph; and
sending an alert to the plurality of users involved in the conversation when it is determined that the plurality of text tokens has fallen below the threshold, wherein the sent alert comprises of a color, a flashing light, and a sound that is associated with the first mobile device or the second mobile device.

2. The method of claim 1 , wherein the plurality of text tokens are created to categorize the remote message exchange or the remote conversation and a cognitive state associated with at least one of the at least two users.

3. The method of claim 1 , wherein the analyzing comprises comparing and clustering at least one category associated with at least one of the at least two users to create a plurality of subsequent categories.

4. The method of claim 1 , wherein the analyzing comprises of a plurality of features vector that includes an identity of at least one of the at least two users and words or tokens spoken by at least one of the at least two users.

5. The method of claim 1 , wherein the analyzing of the created plurality of text tokens comprises the use of a plurality of machine learning tools.

6. The method of claim 5 , wherein the plurality machine learning tools are used to extract a plurality of predictive features from a plurality of token sequences to make inferences about a category of a current cognitive category of at least one of the two users and a cognitive state of the remote message exchange or the remote conversation.

7. A computer system to send an alert for nonproductivity associated with an online conversation, the computer system comprising:
one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
recording a plurality of communication outputs of at least two users engaged in a remote message exchange or a remote conversation, wherein the remote message exchange and the remote conversation are associated with an online communication system on a first mobile device and a second mobile device;
creating a plurality of text tokens based on the recorded plurality of communication outputs;
analyzing, by a graphical text analyzer, the created plurality of text tokens to determine the plurality of text tokens has fallen below a threshold, wherein determining if the plurality of text tokens has fallen below the threshold comprises comparing a plurality of graphs associated with the remote message exchange and the remote conversation to a prior plurality of graphs associated with a plurality of prior remote message exchanges and prior conversations;
wherein the analyzing further comprises utilizing a speaker identity feature extractor, a syntactic feature extractor, and a semantic feature extractor to analyze the recorded plurality of communication outputs;
using a graph constructor and a graph feature extractor, in conjunction with results from the speaker identity feature extractor, the syntactic feature extractor, and the semantic feature extractor to create a hybrid graph, wherein the hybrid graph comprises nodes representing words or phrases, edges representing temporal precedence in speech, and each node includes a feature vector comprising syntactic and semantic vectors, plus additional non-textual features;
constructing, by a learning engine, a predictive model or classifier using the hybrid graph; and
sending an alert to the plurality of users involved in the conversation when it is determined that the plurality of text tokens has fallen below the threshold, wherein the sent alert comprises of a color, a flashing light, and a sound that is associated with the first mobile device or the second mobile device.

8. The computer system of claim 7 , wherein the plurality of text tokens are created to categorize the remote message exchange or the remote conversation and a cognitive state associated with at least one of the at least two users.

9. The computer system of claim 7 , wherein the analyzing comprises comparing and clustering at least one category associated with at least one of the at least two users to create a plurality of subsequent categories.

10. The computer system of claim 7 , wherein the analyzing comprises of a plurality of features vector that includes an identity of at least one of the at least two users and words or tokens spoken by at least one of the at least two users.

11. The computer system of claim 7 , wherein the analyzing of the created plurality of text tokens comprises the use of a plurality of machine-learning tools.

12. The computer system of claim 11 , wherein the plurality machine learning tools are used to extract a plurality of predictive features from a plurality of token sequences to make inferences about a category of a current cognitive category of at least one of the two users and a cognitive state of the remote message exchange or the remote conversation.

13. A computer program product to send an alert for nonproductivity associated with an online conversation, the computer program product comprising:
one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions executable by a processor, the program instructions comprising:
program instructions to record a plurality of communication outputs of at least two users engaged in a remote message exchange or a remote conversation, wherein the remote message exchange and the remote conversation are associated with an online communication system on a first mobile device and a second mobile device;
program instructions to create a plurality of text tokens based on the recorded plurality of commun

Assignees

• IBM

Inventors

• Cecchi Guillermo A
• Kozloski James R
• Pickover Clifford A
• Rish Irina

Classifications

• G06N20/00 Primary

  Machine learning · CPC title

• G06F16/36

  Creation of semantic tools, e.g. ontology or thesauri · CPC title

• G06F40/284

  Lexical analysis, e.g. tokenisation or collocates · CPC title

• H04L12/1895

  for short real-time information, e.g. alarms, notifications, alerts, updates · CPC title

• G06F40/30

  Semantic analysis · CPC title