Psychological state analysis of team behavior and communication

1. A method, comprising the steps of:

by computer, evaluating free-form text messages among team members of a team, using natural language processing techniques to process the text messages and to assess psychological state of the team members as reflected in the text messages;

by the computer, assembling the psychological state of the team members as reflected in the text messages to evaluate team collective psychological state;

in a memory of the computer, grouping the text messages into predetermined psychological state categories by determined emotion and/or sentiment of each of the text messages, the predetermined psychological state categories comprise more than one category of emotion and more than one category of sentiment;

histogramming message counts in each of the predetermined psychological state categories;

in the memory of the computer, histogramming psychological state assessment counts of the team members by time interval; and

by the computer, reporting a trend of the team collective psychological state in natural language text form.

2. The method of claim 1 , wherein the histogramming psychological state assessment counts of the team members includes histogramming psychological state assessment counts of the team members by the time interval and a psychological assessment value.

3. The method of claim 2 , further comprising, in the memory of the computer, the step of:

computing a trend of the team collective psychological state by the time interval.

4. The method of claim 1 , wherein the using the natural language processing techniques to process the text messages includes using the natural language processing techniques to process the text messages and to assess at least three emotions of the team members as reflected in the text messages, the three emotions drawn from the group consisting of anger, disgust, fear, happiness, sadness, love, surprise, trust, distrust, surprise, or anticipation.

5. The method of claim 4 , wherein the using the natural language processing techniques to process the text messages includes using the natural language processing techniques to process the text messages and to assess sentiment of the team members as reflected in the text messages, the sentiment lying on a spectrum from positive to neutral to negative.

6. The method of claim 4 , further comprising the step of:

monitoring one or more environmental factors in a work area of the team, at least one of the monitored environmental factors being drawn from a group consisting of temperature, humidity, sound level, or sound character.

7. The method of claim 1 , further comprising, in the memory of the computer, the step of:

grouping the text messages according to predetermined time periods.

8. The method of claim 7 , further comprising, in the memory of the computer, the step of:

computing a mean over a time interval including a plurality of the predetermined time periods.

9. The method of claim 8 , wherein a most recent time period of the time interval is excluded from the computing of the mean.

10. The method of claim 8 , further comprising, in the memory of the computer, the step of:

reducing the message counts in each of the predetermined psychological state categories ratios based upon a total number of the text messages per day before the computing of the mean.

11. The method of claim 8 , further comprising, in the memory of the computer, the step of:

grouping further text messages according to a further predetermined time period;

comparing message count data of the further text messages to the mean of the time interval; and

creating a text expression of any degree of change between the further text messages as compared to the mean of the time interval.

12. The method of claim 11 , wherein:

a first score of the further time period that is within one standard deviation from the mean is reported as no change in the psychological state of the team members:

a second score of the further time period that is greater than three standard deviations from the mean is reported as an anomalously great increase in the psychological state of the team members; and

a third score of the further time period that is more than one and less than three standard deviations from the mean is reported using text to express a minor degree of change.

13. The method of claim 8 , further comprising, in the memory of the computer, the step of:

graphing the message counts in each of the predetermined psychological state categories for the reporting of the trend, wherein the graphing illustrates a number of text messages among the team members, and an average level for several emotions of the team.

14. A method, by computer, comprising the steps of:

evaluating free-form text messages among team members of a team using natural language processing techniques to process the text messages and to assess psychological states of the team members as reflected in the text messages;

grouping the text messages into predetermined psychological state categories by determined emotion and/or sentiment in each of the text messages, wherein the predetermined psychological state categories comprise more than one category of emotion and more than one category of sentiment;

grouping the text messages according to predetermined time periods;

computing a first mean for each of the predetermined psychological state categories over a time interval including a plurality of the predetermined time periods;

grouping further text messages into the predetermined psychological state categories for a further time period;

comparing the further time period to the first mean to determine a standard deviation for each of the predetermined psychological state categories of the further text messages;

determining a team collective psychological state from the standard deviation for each of the predetermined psychological state categories of the further text messages; and

reporting the team collective psychological state in natural language text form.

15. The method of claim 14 , further comprising histogramming message counts in each of the predetermined psychological state categories.

16. An apparatus, comprising:

a computer processor;

a nontransitory memory, the memory having stored therein one or more programs to cause the processor to:

evaluate free-form text messages among team members of a team,

using natural language processing techniques to process the text messages and to assess psychological state of the team members as reflected in the text messages;

assemble the psychological state as reflected in the text messages to evaluate team collective psychological state;

group the text messages into predetermined psychological state categories by determined emotion and/or sentiment of each of the text messages, the predetermined psychological state categories comprise more than one category of emotion and more than one category of sentiment;

histogram message counts in each of the predetermined psychological state categories;

histogram psychological state assessment counts by time interval and psychological assessment value; and

report a trend of the team collective psychological state in natural language text form.

17. The apparatus of claim 16 , the one or more programs being further programmed to cause the processor to:

use natural language processing techniques to process the text messages and to assess at least three emotions of the team members as reflected in the text messages, the three emotions drawn from the group consisting of anger, disgust, fear, happiness, sadness, love, surprise, trust, distrust, surprise, or anticipation;

use natural language processing techniques to process the text messages and to assess sentiment of the team members as reflected in the text messages, sentiment lying on a spectrum from positive to neutral to negative; and/or

monitor one or more environmental factors in a work area of the team, at least one of the monitored environmental factors being drawn from a group consisting of temperature, humidity, sound level, or sound character.

18. The apparatus of claim 16 , the one or more programs being further programmed to cause the processor to:

compute the trend of the team collective psychological state and the psychological state assessment counts by time interval.