Method for simulation of human response to stimulus
First Claim
1. A method for predicting reaction to a target concept, said method comprising the steps of:
- (a) providing a database comprising subjective reaction data, said subjective reaction data comprising responses of a plurality of individuals to at least one subjective reaction quantifier capable of being used to subjectively evaluate communicable information about one or more source concepts upon exposure of at least some of said one or more source concepts to at least some individuals of said plurality of individuals, said database further comprising responses to at least one common subjective reaction quantifier for a plurality of said one or more source concepts;
(b) selecting one or more archetypes adapted to assist with the objective evaluation of the content of the communicable information of at least some of said one or more source concepts;
(c) generating objective ratings or rule sets of at least some of said source concepts in said database based on one or more of said archetypes;
(d) developing a model defining the relationships between at least some of said subjective reaction data and at least some of said archetypes;
(e) generating objective ratings of said target concept in accordance with one or more of said archetypes defined by said model; and
(f) inputting said objective ratings of said target concept into said model to predict a predetermined population'"'"'s subjective reactions to said target concept.
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Abstract
A method is provided for simulating customer reaction to stimulus based on historical observable customer outcomes. Embodiments of the invention describe a series of steps that when taken together accomplish a predictive outcome of customer simulation from a plurality of source inputs without prior assumptions of relationship between inputs and simulated outcomes. The invention comprises a series of steps that effect the framing of the simulation model from which customer predicted outcomes are made. The various frames required to create the preferred simulation model include: customer database development, stimulus archetype development, model data development, model building, simulation of future customer reaction and suggested courses of action based on the results of the simulation.
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Citations
54 Claims
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1. A method for predicting reaction to a target concept, said method comprising the steps of:
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(a) providing a database comprising subjective reaction data, said subjective reaction data comprising responses of a plurality of individuals to at least one subjective reaction quantifier capable of being used to subjectively evaluate communicable information about one or more source concepts upon exposure of at least some of said one or more source concepts to at least some individuals of said plurality of individuals, said database further comprising responses to at least one common subjective reaction quantifier for a plurality of said one or more source concepts;
(b) selecting one or more archetypes adapted to assist with the objective evaluation of the content of the communicable information of at least some of said one or more source concepts;
(c) generating objective ratings or rule sets of at least some of said source concepts in said database based on one or more of said archetypes;
(d) developing a model defining the relationships between at least some of said subjective reaction data and at least some of said archetypes;
(e) generating objective ratings of said target concept in accordance with one or more of said archetypes defined by said model; and
(f) inputting said objective ratings of said target concept into said model to predict a predetermined population'"'"'s subjective reactions to said target concept. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41)
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42. A method for predicting reaction to a target concept, said method comprising the steps of:
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(a) providing a database comprising subjective reaction data, said subjective reaction data comprising responses of a plurality of individuals to at least one subjective reaction quantifier capable of being used to subjectively evaluate communicable information about one or more source concepts upon exposure of at least some of said one or more source concepts to at least some individuals of said plurality of individuals, said database further comprising responses to at least one common subjective reaction quantifier for a plurality of said one or more source concepts;
(b) selecting one or more archetypes adapted to assist with the objective evaluation of the content of the communicable information of at least some of said one or more source concepts;
(c) generating objective ratings or rule sets of at least some of said source concepts in said database based on one or more of said archetypes;
(d) developing a model defining the relationships between at least some of said subjective reaction data and at least some of said archetypes;
(e) generating objective ratings of said target concept in accordance with one or more of said archetypes defined by said model;
(f) inputting said objective ratings of said target concept into said model to predict a predetermined population'"'"'s subjective reactions to said target concept;
(g) judging the relative potential success of said target concept;
(h) developing and applying action criteria based on said relative potential success of said target concept; and
(i) providing guidance to developers of said target concept on how to enhance or improve said target concept. - View Dependent Claims (43, 44, 45, 46, 47, 48, 49, 50, 51, 52)
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53. A method for determining and assigning slotting fees for new product placement in a retail setting, said method comprising the steps of:
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(a) providing a database comprising subjective reaction data, said subjective reaction data comprising responses of a plurality of individuals to at least one subjective reaction quantifier capable of being used to subjectively evaluate communicable information about one or more source concepts upon exposure of at least some of said one or more source concepts to at least some individuals of said plurality of individuals, said database further comprising responses to at least one common subjective reaction quantifier for a plurality of said one or more source concepts;
(b) selecting one or more archetypes adapted to assist with the objective evaluation of the content of the communicable information of at least some of said one or more source concepts;
(c) generating objective ratings or rule sets of at least some of said source concepts in said database based on one or more of said archetypes;
(d) developing a model defining the relationships between at least some of said subjective reaction data and at least some of said archetypes;
(e) generating objective ratings of said target concept in accordance with one or more of said archetypes defined by said model;
(f) inputting said objective ratings of said target concept into said model to predict a predetermined population'"'"'s subjective reactions to said target concept;
(g) judging the relative potential success of said target concept; and
(h) assigning an appropriate slotting fee to said target concept corresponding to and based upon said relative potential success of said target concept.
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54. A method for validating and testing an organizational cultural rule, said method comprising the steps of:
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(a) identifying said organizational cultural rule and characteristics of said organizational cultural rule;
(b) providing a database comprising subjective reaction data, said subjective reaction data comprising responses of a plurality of individuals to at least one subjective reaction quantifier capable of being used to subjectively evaluate communicable information about one or more source concepts upon exposure of at least some of said one or more source concepts to at least some individuals of said plurality of individuals, said database further comprising responses to at least one common subjective reaction quantifier for a plurality of said one or more source concepts;
(c) generating objective ratings or rule sets of at least some of said source concepts in said database based on characteristics of said organizational cultural rule;
(d) developing a model defining the relationships between at least some of said subjective reaction data and characteristics of said organizational cultural rule; and
(e) using said model to evaluate the validity of said organizational cultural rule.
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Specification