Method and system for psychological evaluation based on music preferences
First Claim
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1. A method comprising:
- providing a database comprising digital song files;
mathematically analyzing said digital song files, using a computerized device, said mathematically analyzing determining a numerical value for each of a plurality of selected quantifiable characteristics, each of said quantifiable characteristics comprising a physical parameter based on human perception;
creating a descriptive profile for the quantifiable characteristics of each song in the database of digital song files, using said computerized device;
linking each song in the database to a predetermined psychological scale based on said descriptive profile for the quantifiable characteristics, using said computerized device;
providing pairs of audible samples of songs to a user, using said computerized device, each sample of said pairs audible samples being selected from said database of digital song files;
permitting said user to listen to each sample of said pair of audible samples of songs and subjectively indicate, using said computerized device, likes and dislikes for each song of said samples of songs;
said computerized device determining a music taste profile for said user based on said likes and dislikes indicated by said user, wherein said music taste profile identifies relative preferences for genre, theme, and style of music for said user;
correlating said relative preferences to known dimensions of said predetermined psychological scale for said user by associating said relative preferences with a plurality of lifestyle factors for said user, using said computerized device; and
identifying distinct human psychological traits, based on said music taste profile to classify said user into a known personality type.
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Abstract
A system and method for determining users personality types, profiles, and infer the likely intent based on the users'"'"' musical taste and listening habits. The process involves identifying the listener'"'"'s musical preferences and linking this to a predetermined scale within the psychological Big 5 that in turn links to a dictionary of descriptors that defines the personality type. This can be further fine tuned by knowing the persons age, gender, and many other lifestyle variables, as well as how a user may use the music.
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Citations
20 Claims
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1. A method comprising:
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providing a database comprising digital song files; mathematically analyzing said digital song files, using a computerized device, said mathematically analyzing determining a numerical value for each of a plurality of selected quantifiable characteristics, each of said quantifiable characteristics comprising a physical parameter based on human perception; creating a descriptive profile for the quantifiable characteristics of each song in the database of digital song files, using said computerized device; linking each song in the database to a predetermined psychological scale based on said descriptive profile for the quantifiable characteristics, using said computerized device; providing pairs of audible samples of songs to a user, using said computerized device, each sample of said pairs audible samples being selected from said database of digital song files; permitting said user to listen to each sample of said pair of audible samples of songs and subjectively indicate, using said computerized device, likes and dislikes for each song of said samples of songs; said computerized device determining a music taste profile for said user based on said likes and dislikes indicated by said user, wherein said music taste profile identifies relative preferences for genre, theme, and style of music for said user; correlating said relative preferences to known dimensions of said predetermined psychological scale for said user by associating said relative preferences with a plurality of lifestyle factors for said user, using said computerized device; and identifying distinct human psychological traits, based on said music taste profile to classify said user into a known personality type. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer implemented method of determining psychological evaluation based on music preferences, said method comprising:
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providing a database comprising digital song files; mathematically analyzing said digital song files, using a computerized device, said mathematically analyzing determining a numerical value for each of a plurality of selected quantifiable characteristics, said quantifiable characteristics comprising physical parameters based on human perception; creating a descriptive profile for the quantifiable characteristics of each song in the database of digital song files, using said computerized device; linking each song in the database to a predetermined psychological scale based on said descriptive profile for the quantifiable characteristics, using said computerized device; choosing samples of two songs from said database, using said computerized device; enabling a user to listen to both of said samples of two songs, using said computerized device; receiving an indication of which of said samples of two songs said user prefers, using said computerized device; choosing additional samples of songs, as necessary, to establish a taste vector for said user comprising song characteristics that said user prefers, using said computerized device; determining a music taste profile for said user based on likes and dislikes indicated by said user, wherein said music taste profile identifies relative preferences for genre, theme, and style of music for said user, using said computerized device; correlating said relative preferences to known dimensions of said predetermined psychological scale for said user by associating said relative preferences with a plurality of lifestyle factors for said user, using said computerized device; identifying distinct human psychological traits, based on said music taste profile, using said computerized device; and classifying said user into a known personality type, using said computerized device. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A system comprising:
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a digital database comprising digital song files; a processor operatively connected to said digital database; and a user interface operatively connected to said processor; said processor mathematically analyzing said digital song files and determining characteristic vectors for songs in said digital song files, said characteristic vectors comprising a numerical value for each of a plurality of selected quantifiable characteristics, each of said quantifiable characteristics comprising a physical parameter based on human perception, said processor creating a descriptive profile for the quantifiable characteristics of each song in the digital database of digital song files, said processor linking each song in the digital database to a predetermined psychological scale based on said descriptive profile for the quantifiable characteristics, said processor selecting samples of two songs from said database and enabling a user to listen to both of said samples of two songs using said user interface, said processor receiving an indication of which of said samples of two songs said user prefers, using said user interface, said processor selecting additional samples of songs, as necessary, to establish a taste vector for said user comprising song characteristics that said user prefers, said processor determining a music taste profile for said user based on likes and dislikes for said samples of songs, and said user'"'"'s age, sex, and location, wherein said music taste profile identifies relative preferences for genre, theme, and style of music for said user, said processor correlating said relative preferences to known dimensions of said predetermined psychological scale for said user by associating said relative preferences with a plurality of lifestyle factors for said user, and said processor identifying distinct human psychological traits, based on said music taste profile to classify said user into a known personality type. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification