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Computer-aided methods and systems for pattern-based cognition from fragmented material

  • US 8,339,410 B2
  • Filed: 09/30/2011
  • Issued: 12/25/2012
  • Est. Priority Date: 02/13/2009
  • Status: Active Grant
First Claim
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1. A method for analyzing a large set of data objects by auditing an attitude among a target population comprising:

  • providing a first set of information objects to a first group of a target population;

    providing a deliberately ambiguated signifier prompt to the first group selected from the target population, wherein the deliberately ambiguated signifier prompt comprises a continuum having a plurality of labels and wherein the plurality of labels are identified with particular human attitudes;

    collecting a first set of responses from the first group characterizing the first set of information objects using the deliberately ambiguated signifier prompt, and analyzing the first set of responses to produce a first quantitative measure-characterizing the first set of responses;

    storing the first quantitative measure on a computer readable media;

    providing a second set of information objects to a second group selected from the target population;

    providing the deliberately ambiguated signifier prompt to the second group;

    collecting a second set of responses from the second group characterizing the second set of information objects using the deliberately ambiguated signifier prompt, and analyzing the second set of responses to produce a second quantitative measure characterizing the second set of responses; and

    comparing the first quantitative measure with the second quantitative measure to identify changes in the particular human attitudes of the target population.

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