REDUCING GRAPHICAL TEXT ANALYSIS USING PHYSIOLOGICAL PRIORS

• US 20160283852A1
• Filed: 03/26/2015
• Published: 09/29/2016
• Est. Priority Date: 03/26/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cecchi, Guillermo A., Kozloski, James R., Pickover, Clifford A., Rish, Irina
• Granted Patent: US 10,410,131 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks

Abstract

Embodiments relate to facilitating a meeting. A method for reducing an amount of communications to analyze in order to determine a cognitive state of an entity is provided. The method determines a first likelihood of an entity to have a particular cognitive state based on a set of physiological measures of the entity. The method receives communications from the entity. The method generates a graph of communications of the entity. The method performs a graphical text analysis on the graph to determine a second likelihood of the entity to have the particular cognitive state. The method determines whether the entity has the particular cognitive state based on the first likelihood and the second likelihood.

Claims

1. A computer program product, comprising:

a computer readable storage medium having program instructions embodied therewith, the program instructions readable by a processing circuit to cause the processing circuit to perform a method of reducing an amount of communications to analyze in order to determine a cognitive state of an entity, the method comprising;

determining a first likelihood of an entity to have a particular cognitive state based on a set of physiological measures of the entity;

receiving communications from the entity;

generating a graph of communications of the entity;

performing a graphical text analysis on the graph to determine a second likelihood of the entity to have the particular cognitive state; and

determining whether the entity has the particular cognitive state based on the first likelihood and the second likelihood.

2. The computer program product of claim 1, wherein the determining whether the entity has the particular cognitive state comprises:

combining the first likelihood and the second likelihood using Bayes'"'"' rule to determine a combined likelihood; and

determining that the entity has the particular cognitive state if the combined likelihood exceeds a threshold likelihood.

3. The computer program product of claim 2, wherein the threshold likelihood is calibratable.

4. The computer program product of claim 1, wherein the method further comprises, in response to determining that the entity has the particular cognitive state, stopping performing the graphical text analysis on the graph.

5. The computer program product of claim 4, wherein the method further comprises, in response to determining that a confidence level indicating that the entity has the particular cognitive state falls below a threshold confidence level, starting performing the graphical text analysis on the graph.

6. The computer program product of claim 1, wherein the physiological measures of the entity comprises at least one of a galvanic skin response of the entity, an Electroencephalography (EEG) of the entity, a heart rate of the entity, a behavior analysis of video of the entity, and an observer assessment of the entity.

7. The computer program product of claim 1, wherein the method further comprises, in response to determining that the entity has the particular cognitive state, triggering an action to help the entity to transition to another cognitive state from the particular cognitive state.

8. The computer program product of claim 1, where the communications include audible communications and textual communications of the entity.

9-15. -15. (canceled)

16. A computer system for a method of reducing an amount of communications to analyze in order to determine a cognitive state of an entity, the system comprising:

a memory having computer readable instructions; and

a processor configured to execute the computer readable instructions, the instructions comprising;

determining a first likelihood of an entity to have a particular cognitive state based on a set of physiological measures of the entity;

receiving communications from the entity;

generating a graph of communications of the entity;

performing, by a computer, a graphical text analysis on the graph to determine a second likelihood of the entity to have the particular cognitive state; and

determining whether the entity has the particular cognitive state based on the first likelihood and the second likelihood.

17. The system of claim 16, wherein the determining whether the entity has the particular cognitive state comprises:

combining the first likelihood and the second likelihood using Bayes'"'"' rule to determine a combined likelihood; and

determining that the entity has the particular cognitive state if the combined likelihood exceeds a threshold likelihood.

18. The system of claim 16, wherein the instructions further comprise, in response to determining that the entity has the particular cognitive state, stopping performing the graphical text analysis on the graph.

19. The system of claim 16, wherein the physiological measures of the entity comprises at least one of a galvanic skin response of the entity, an Electroencephalography (EEG) of the entity, a heart rate of the entity, a behavior analysis of video of the entity, and an observer assessment of the entity.

20. The system of claim 16, wherein the instructions further comprise, in response to determining that the entity has the particular cognitive state, triggering an action to help the entity to transition to another cognitive state from the particular cognitive state.