Intel Corporation

Michal Jacob

Raanan Yehezkel

Omer Ben-Shalom

Eran Birk

Shai Skavas Kavas

Yosi Govezensky

Apparatuses, methods, and storage media for adaptive provision of content are described. In one instance, the apparatus may comprise a processor and an adaptive content provision module to be operated by the processor. The adaptive content provision module may include a content provision module to generate and provide for display a first view of content captured by first selected one or more of cameras, to a plurality of user devices; an analysis module to receive and analyze user response information provided by the plurality of user devices in response to the displayed first view of content; and a control module to control the content provision module to generate a second view of content captured by second selected one or more of the plurality of cameras, based at least in part on a result of the analysis of the user response information. Other embodiments may be described and claimed.

Adaptive provision of content based on user response

Embodiments of methods, apparatuses, and storage mediums associated with eye movement based knowledge demonstration, having a particular application to authentication, are disclosed. In embodiments, a computing device may determine whether a received input of a pattern of eye movements is consistent with an expected pattern of eye movements of a user when the user attempts to visually locate a piece of information embedded in a display. In embodiments, the expected pattern of eye movements may include patterns related to fixations and/or other statistical patterns, however, may not be limited to such patterns. In applications, determining consistency or correlation with the expected pattern of eye movements may identify the user by simultaneously verifying at least factors of authentication&#x2014;that of biometric criteria related to a user's pattern of eye movements and a password or other information known to the user.

Eye movement based knowledge demonstration

Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Image storage and retrieval based on eye movements

Methods and systems to identify a portion of content, for each of multiple instances of content presented at a display, based on eye contact of a user, populate records of the portions of content with contextual information, and search a data field(s) of the record to identify content of interest to the user amongst the portions of content. The search may be based on a, without limitation, a user-specified application program, file type, URL, time, display position, content presented at the display prior to, concurrently with, and/or subsequent to presentation of content of interest to the user, and/or an action performed by the user prior to and/or subsequent to a time at which the content of interest to the user had been presented at the display.

System, method, and computer program product for using eye movement tracking for retrieval of observed information and of related specific context

A device, method, and system for inferring user intent to perform an action on a computing device includes monitoring the eye movement patterns of a user and determining the action to be performed based on the eye movement patterns. Signals relating to the eye movement of the user while observing a display screen of the computing device are processed to produce at least one eye movement feature. One or more classifiers are generated based on a training set of data of the eye movement feature over a time interval in which the user observes the display screen with an intent to activate the action. Thereafter, an eye-movement-pattern of the user may be analyzed, and features may be extracted, as the user is observing the display screen. The intended action is automatically activated if the user intent is inferred using the one or more of the classifiers.

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Haifa, Israel

Michal Jacob