Predicting outcomes from measures of group cooperation with applications in traffic alert and control

Abstract

Data is obtained specifying a measure of a data set to be analyzed by human experts and allotted time for analysis completion. Based on same, a schedule is created for a primary meeting of human experts, whose aim is to analyze the data. The meeting is evaluated to create rate estimates for hypothetical meeting partitions; and, if the primary meeting is not adhering to schedule and/or can be speeded up, the meeting partitions are simulated until a partitioning scheme is determined that can restore the meeting to schedule and/or speed it up. In another aspect, a model of focus of attention of each member of a group of individuals engaged in an activity requiring cooperation is dynamically updated, and a cooperation index is determined based on the model of focus of attention, an interaction graph, and at least one physiological parameter of at least one of the members.

Description

FIELD OF THE INVENTION[0001]The present invention relates to the electrical, electronic, and computer arts, and, more particularly, to cognitive and contextual computing, and the like.BACKGROUND OF THE INVENTION[0002]Cooperation within a group is predictive of outcomes of group activities, such as the results produced by a meeting. This measure of group cooperation depends on many inputs from meeting participants, including focus of attention and the communication graph between participants. Often a meeting's objectives within an enterprise will center on the analysis of a large data set in order to make a decision. These data sets may be novel, or the amount of time necessary to fully analyze the data may be uncertain given the data complexity and meeting character.SUMMARY OF THE INVENTION[0003]Principles of the invention provide techniques for predicting outcomes from measures of group cooperation with applications in traffic alert and control. In one aspect, an exemplary method i...

AI Technical Summary

Benefits of technology

[0003]Principles of the invention provide techniques for predicting outcomes from measures of group cooperation with applications in traffic alert and control. In one aspect, an exemplary method includes the step of obtaining data specifying: a measure of a data set to be analyzed by human experts; and an allotted time for analysis completion. Further steps include: based on the measure of the data set and the allotted time, creating an analysis completion schedule for a primary meeting of the human experts, whose aim is to analyze

Problems solved by technology

These data sets may be novel, or the amount of time necessary to fully analy

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