Computer-aided methods and systems for pattern-based cognition from fragmented material
First Claim
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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Abstract
A method for obtaining and analyzing information objects including generating, collecting or discovering information objects. The information objects are signified at least in part using deliberately ambiguated signifier prompts, for example, linear scale opposing negatives or positives, and/or multi-dimensional signifier prompts. The information objects may comprise text or non-text fragments, and may be generated or selected. The responses to the signifier prompts are stored with the fragments to provide a dataset of signified fragments. The signified fragments may be analyzed based on the signifiers and can be utilized as part of an explorable knowledge repository, or objective measures can be created to aid in mass opinion capture or human attitude auditing. The fragments may be represented on a graphical template. In one embodiment, fragment exemplars are identified that exemplify significant locations on the template, and the exemplar signifiers are used to automatically locate other signified fragments on the template.
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Citations
15 Claims
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1. A method for analyzing a large set of data objects by auditing an attitude among a target population comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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Specification