Abstract: In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes ma be determined. The search query may be generated by the user. The database may be a hypermedia database.

Abstract: In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes ma be determined. The search query may be generated by the user. The database may be a hypermedia database.

Abstract: In one exemplary embodiment, a method includes the step of obtaining, with an eye-tracking system, one or more user eye metrics, while the user is reading a text content. A step can include determining that the one or more user eye metrics indicate a user mental fatigue state based on the one or more user eye metrics. A step can include modifying an attribute of the text content. One or more user eye metrics that indicate the user mental fatigue state comprise a decrease in saccadic peak velocity during a task. The one or more user eye metrics that indicate the user mental fatigue state comprises a regression analysis of a relationship of the saccadic peak velocity, a user blink attribute, and a measurement of an ocular instability of the user.

Abstract: In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes ma be determined. The search query may be generated by the user. The database may be a hypermedia database.

Abstract: In one exemplary embodiment, a Computer-implemented method includes receiving a web page with a web browser in a computing device. A jamming trigger term is received from a database stored in the computing device. A targeted age group is also received. The jamming trigger term is located in the web page. An instruction is provided to an audio system of the Computing device to play a sound wave at a frequency. The frequency is audible by the targeted age group but not an older age group according to a frequency audibility table. A web scrapping operation can be performed on the web page after the web page is downloaded by the web browser. The targeted age group can be persons eighteen years of age and younger and wherein the frequency comprises a twenty kilo-hertz value (20 kHz).

Abstract: In one exemplary embodiment, eye-tracking data may be collected from a user while the user is viewing a visual sensory stimulus. If the eye-tracking data includes an eye motion pattern exceeding a predetermined threshold, then the eye-tracking data may be used to identify a visual element within the user's field of view. In addition to the visual element, attributes and context information related to the sensory experience may be determined. Information related to the sensory experience may be stored in a repository for purposes of aiding the user's recollection of the visual element at a future time.

Abstract: In one exemplary embodiment, a computer-implemented method includes receiving a web page with a web browser in a computing device. A jamming trigger term is received from a database stored in the computing device. A targeted age group is also received. The jamming trigger term is located in the web page. An instruction is provided to an audio system of the computing device to play a sound wave at a frequency. The frequency is audible by the targeted age group but not an older age group according to a frequency audibility table. A web scrapping operation can be performed on the web page after the web page is downloaded by the web browser. The targeted age group can be persons eighteen years of age and younger and wherein the frequency comprises a twenty kilo-hertz value (20 kHz).

Abstract: In one exemplary embodiment, a computer-implemented method of generating an implicit social graph includes receiving an eye-tracking data associated with a word. The eye-tracking data is received from a user device. The word is a portion of a digital document. The eye-tracking data comprises at least one fixation period of substantially seven-hundred and fifty milliseconds and at least one regression from another portion of the digital document to the word. A comprehension difficulty of the word is determined based on the eye-tracking data. One or more attributes to a user of the user device is assigned, by one or more processors based on the comprehension difficulty, wherein the one or more attributes are determined based on a meaning of the word. An implicit social graph is generated based on the one or more attributes.

Abstract: Disclosed are a system, method, and article of manufacture of a dynamic eye-tracking data representation. A first eye-tracking data of a first environmental attribute of a mobile device can be obtained. A second eye-tracking data of a second environmental attribute of the mobile device can be obtained. A tag cloud comprising a first component that describes a first relationship between the first eye-tracking data and the first environmental attributes and a second component that describes a second relationship between the second eye-tracking data and the second environmental attribute can be generated.

Abstract: In one example, a computer-implemented method can include the step of receiving a finger-contact patch attribute from a user of a touch screen system. A user's age group can be determined according to a finger-contact patch attribute. The user's age group can be provided to a server. A pixel width of the finger-contact patch of less than thirty pixels can be measured. A historical mean finger-contact patch area of a historical user of the touch screen system can be calculated. The finger-contact patch attribute from the user can be determined to be substantially less than the historical mean finger-contact patch area of the historical user. An advertisement to display on a computing device of the touch-screen system can be received. An appropriate age group appropriate of the advertisement can be determined. The advertisement can be filtered when a current user is in the child-age group and the appropriate age group appropriate of the advertisement is an adult age group.

Abstract: In one exemplary embodiment, a text message may be sent in which eye-tracking data is used to associate information with a portion of the text message. A text message input by a user may be displayed, with eye-tracking data from the user indicating an expectation associated with a portion of the text message. The expectation may cause information related to the portion of the text message to be associated with the portion of the message.

Abstract: In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes may be determined. The search query may be generated by the user. The database may be a hypermedia database.

Abstract: In one exemplary embodiment, a computer-implemented method of generating an implicit social graph is provided. The method can include the step of receiving a first eye-tracking data of a first user. The first eye-tracking data can be associated with a first component. The eye-tracking data can be received from a first user device. A second eye-tracking data can be received from a second user. The second eye-tracking data can be associated with a second visual component. The second eye-tracking data can be received from a second user device. One or more attributes can be associated with the first user. The one or more attributes can be determined based on an association of the first eye-tracking data and the first visual component. One or more attributes can be associated with the second user. The one or more attributes can be determined based on an association of the second eye-tracking data and the second visual component.

Abstract: In one exemplary embodiment, a computer-implemented method includes receiving a web page with a web browser in a computing device. A jamming trigger term is received from a database stored in the computing device. A targeted age group is also received. The jamming trigger term is located in the web page. An instruction is provided to an audio system of the computing device to play a sound wave at a frequency. The frequency is audible by the targeted age group but not an older age group according to a frequency audibility table. A web scrapping operation can be performed on the web page after the web page is downloaded by the web browser. The targeted age group can be persons eighteen years of age and younger and wherein the frequency comprises a twenty kilo-hertz value (20 kHz).

Abstract: In one exemplary embodiment, a set of attributes derived from an element of a first digital document is obtained. The element is identified from eye-tracking data of a user viewing the digital document. A search query of a database comprising at least one query term is received. A set of documents in the database is identified according to the search query. An attribute score is determined for each document. The set of documents are sorted according to the attribute score. Optionally, a commonality between the query term and at least one member of the set of attributes may be determined. The search query may be generated by the user. The database may be a hypermedia database.

Abstract: In one exemplary embodiment, eye-tracking data may be collected from a user while the user is viewing a visual sensory stimulus. If the eye-tracking data includes an eye motion pattern exceeding a predetermined threshold, then the eye-tracking data may be used to identify a visual element within the user's field of view. In addition to the visual element, attributes and context information related to the sensory experience may be determined. Information related to the sensory experience may be stored in a repository for purposes of aiding the user's recollection of the visual element at a future time.

Abstract: In one exemplary embodiment, a text message may be sent in which eye-tracking data is used to associate information with a portion of the text message. A text message input by a user may be displayed, with eye-tracking data from the user indicating an expectation associated with a portion of the text message. The expectation may cause information related to the portion of the text message to be associated with the portion of the message.