Systems, methods and tools for aggregating subsets of opinions from group collaborations

• US 20070099162A1
• Filed: 03/02/2006
• Published: 05/03/2007
• Est. Priority Date: 10/28/2005
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Sekhar, Vivek
• Application Number:
  US11/366,517
• Publication Number:
  US 20070099162A1
• Time in Patent Office: Days
• US Class Current: 434/323
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 2230/00 Voting or election arrangements
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

There are disclosed systems, methods and tools for collecting opinions from group collaborations. In an embodiment, each participant may be asked to answer a small subset of questions, where each subset of questions presented to a participant may be different from a subset of questions posed to another participant. Data processing system implemented methods, systems and tools may be used to prepare each subset of questions to be asked, based on which questions require a larger sample of opinions, and to aggregate the subsets of opinions to infer an aggregate opinion for the group. This may significantly reduce or eliminate the need to subject a participant to the onerous task of expressing an opinion on each one of a large number of questions that may be collected in a group collaboration.

Claims

1. A data processing system implemented method of aggregating opinions on a plurality of questions from a plurality of participants, comprising:

providing to each participant a question, and requiring for each question an opinion from the participant that may be expressed as a numeric value;

for each question, aggregating opinions received from the participants, and calculating a mean value representative of an aggregated opinion of the participants;

for each question, from the distribution of numeric values of the received opinions, calculating a measure of confidence in the aggregated opinion;

for a successive participant, providing a question selected in dependence upon the calculated measure of confidence in the aggregated opinion.

2. The data processing system implemented method of claim 1, further comprising:

ranking questions in dependence upon their calculated measures of confidence, and selecting a question to be posed to a successive participant from the ranked questions, with a preference for questions having a lower confidence value.

3. The data processing system implemented method of claim 2, further comprising, given a number of questions having the same measures of confidence, randomly selecting a question from amongst these number of questions for posing to a successive participant.

4. The data processing system implemented method of claim 1, wherein the measure of confidence for each question is a confidence interval calculated from the distribution of numeric values of the received opinions.

5. The data processing system implemented method of claim 4, further comprising:

ranking the questions based on their aggregated opinions;

selecting a region of interest in the ranked list of questions; and

selecting a question to be posed to a successive participant from the region of interest with a preference for questions having a wider confidence interval.

6. The data processing system implemented method of claim 5, further comprising posing questions to successive participants until the confidence intervals for the questions in the region of interest have reached a desired confidence interval.

7. The data processing system implemented method of claim 1, further comprising:

providing a number of predefined categories, and requiring from each participant an opinion as to which category a question belongs;

for each question, tabulating the number of participants selecting each category of the predefined categories, and calculating a percentage vote for each category.

8. The data processing system implemented method of claim 7, further comprising:

for each question, selecting a winning category based on the calculated percentage votes, and ranking the questions in dependence upon the calculated percentage votes in the winning category.

9. The data processing system implemented method of claim 8, further comprising preferentially selecting a question having the lowest percentage vote in the winning category for posing to a successive participant.

10. A data processing system for aggregating opinions on a plurality of questions from a plurality of participants, comprising:

means for providing to each participant a question, and requiring for each question an opinion from the participant that may be expressed as a numeric value;

means for aggregating, for each question, opinions received from the participants, and calculating a mean value representative of an aggregated opinion of the participants;

means for calculating for each question, from the distribution of numeric values of the received opinions for the question, a measure of confidence in the aggregated opinion;

means for providing, for a successive participant, a question selected in dependence upon the calculated measure of confidence in the aggregated opinion.

11. The data processing system of claim 10, further comprising:

means for ranking questions in dependence upon their calculated measures of confidence, and selecting a question to be posed to a successive participant from the ranked questions, with a preference for questions having a lower confidence value.

12. The data processing system of claim 11, further comprising means for randomly selecting a question, from amongst a number of questions having the same measures of confidence, for posing to a successive participant.

13. The data processing system of claim 10, wherein the measure of confidence for each question is a confidence interval calculated from the distribution of numeric values of the received opinions.

14. The data processing system of claim 13, further comprising:

means for ranking the questions based on their aggregated opinions;

means for selecting a region of interest in the ranked list of questions; and

means for selecting a question to be posed to a successive participant from the region of interest with a preference for questions having a wider confidence interval.

15. The data processing system of claim 14, further comprising means for posing questions to successive participants until the confidence intervals for the questions in the region of interest have reached a desired confidence interval.

16. The data processing system of claim 10, further comprising:

means for providing a number of predefined categories, and requiring from each participant an opinion as to which category a question belongs;

means for tabulating, for each question, the number of participants selecting each category of the predefined categories, and calculating a percentage vote for each category.

17. The data processing system of claim 16, further comprising means for selecting, for each question, a winning category based on the calculated percentage votes, and ranking the questions in dependence upon the calculated percentage votes in the winning category.

18. The data processing system of claim 17, further comprising means for preferentially selecting a question having the lowest percentage vote in the winning category for posing to a successive participant.

19. A data processor readable medium for storing data processor code that, when loaded into a data processing device, adapts the device to aggregate opinions on a plurality of questions from a plurality of participants, the data processor readable medium including:

code for providing to each participant a question, and requiring for each question an opinion from the participant that may be expressed as a numeric value;

code for aggregating, for each question, opinions received from the participants, and calculating a mean value representative of an aggregated opinion of the participants;

code for calculating for each question, from the distribution of numeric values of the received opinions for the question, a measure of confidence in the aggregated opinion;

code for providing, for a successive participant, a question selected in dependence upon the calculated measure of confidence in the aggregated opinion.

20. The data processing readable medium of claim 19, further including:

code for ranking questions in dependence upon their calculated measures of confidence, and selecting a question to be posed to a successive participant from the ranked questions, with a preference for questions having a lower confidence value.

21. The data processing readable medium of claim 20, further including code for randomly selecting a question, from amongst a number of questions having the same measures of confidence, for posing to a successive participant.

22. The data processing readable medium of claim 19, wherein the measure of confidence for each question is a confidence interval calculated from the distribution of numeric values of the received opinions.

23. The data processing readable medium of claim 22, further including:

code for ranking the questions based on their aggregated opinions;

code for selecting a region of interest in the ranked list of questions; and

code for selecting a question to be posed to a successive participant from the region of interest with a preference for questions having a wider confidence interval.

24. The data processing readable medium of claim 23, further including code for posing questions to successive participants until the confidence intervals for the questions in the region of interest have reached a desired confidence interval.

25. The data processing readable medium of claim 19, further including:

code for providing a number of predefined categories, and requiring from each participant an opinion as to which category a question belongs;

code for tabulating, for each question, the number of participants selecting each category of the predefined categories, and calculating a percentage vote for each category.

26. The data processing readable medium of claim 25, further including code for selecting, for each question, a winning category based on the calculated percentage votes, and ranking the questions in dependence upon the calculated percentage votes in the winning category.

27. The data processing readable medium of claim 26, further including code for preferentially selecting a question having the lowest percentage vote in the winning category for posing to a successive participant.