Patent application number | Description | Published |
20130212501 | PERCEPTUAL COMPUTING WITH CONVERSATIONAL AGENT - Perceptual computing with a conversational agent is described. In one example, a method includes receiving a statement from a user, observing user behavior, determining a user context based on the behavior, processing the user statement and user context to generate a reply to the user, and presenting the reply to the user on a user interface. | 08-15-2013 |
20140006001 | USER EVENTS/BEHAVIORS AND PERCEPTUAL COMPUTING SYSTEM EMULATION | 01-02-2014 |
20140195328 | ADAPTIVE EMBEDDED ADVERTISEMENT VIA CONTEXTUAL ANALYSIS AND PERCEPTUAL COMPUTING - Technologies for adaptively embedding an advertisement into media content via contextual analysis and perceptual computing include a computing device for detecting a location to embed advertising content within media content and retrieving user profile data corresponding to a user of a computing device. Such technologies may also include determining advertising content personalized for the user based on the retrieved user profile and embedding the advertising content personalized for the user into the media content at the detected location within the media content to generate augmented media content for subsequent display to the user. | 07-10-2014 |
20140292639 | MULTI-DISTANCE, MULTI-MODAL NATURAL USER INTERACTION WITH COMPUTING DEVICES - Systems and methods may provide for receiving a short range signal from a sensor that is collocated with a short range display and using the short range signal to detect a user interaction. Additionally, a display response may be controlled with respect to a long range display based on the user interaction. in one example, the user interaction includes one or more of an eye gaze, a hand gesture, a face gesture, a head position or a voice command, that indicates one or more of a switch between the short range display and the long range display, a drag and drop operation, a highlight operation, a click operation or a typing operation. | 10-02-2014 |
20150058764 | MEDIA CONTENT INCLUDING A PERCEPTUAL PROPERTY AND/OR A CONTEXTUAL PROPERTY - Apparatuses, systems, media and/or methods may involve creating content. A property component may be added to a media object to impart one or more of a perceptual property or a contextual property to the media object. The property component may be added responsive to an operation by a user that is independent of a direct access by the user to computer source code. An event corresponding to the property component may be mapped with an action for the media object. The event may be mapped with the action responsive to an operation by a user that is independent of a direct access by the user to computer source code. A graphical user interface may be rendered to create the content. In addition, the media object may be modified based on the action in response to the event when content created including the media object is utilized. | 02-26-2015 |
20150070386 | TECHNIQUES FOR PROVIDING AN AUGMENTED REALITY VIEW - Various embodiments are generally directed to techniques for providing an augmented reality view in which eye movements are employed to identify items of possible interest for which indicators are visually presented in the augmented reality view. An apparatus to present an augmented reality view includes a processor component; a presentation component for execution by the processor component to visually present images captured by a camera on a display, and to visually present an indicator identifying an item of possible interest in the captured images on the display overlying the visual presentation of the captured images; and a correlation component for execution by the processor component to track eye movement to determine a portion of the display gazed at by an eye, and to correlate the portion of the display to the item of possible interest. Other embodiments are described and claimed. | 03-12-2015 |
20150332166 | MACHINE LEARNING-BASED USER BEHAVIOR CHARACTERIZATION - This disclosure is directed to machine learning-based user behavior characterization. An example system may comprise a device including a user interface module to present content to a user and to collect user data (e.g., including user biometric data) during the content presentation. The system may also comprise a machine learning module to determine parameters for use in presenting the content based on the user data. For example, the machine learning module may formulate a behavioral model including user states based on the user data, the user states being correlated to an objective (e.g., based on a cost function) and content presentation parameter settings. Employing the behavioral model, the machine learning module may determine a current user state based on the user data, and may select the content presentation parameter settings to bias movement of the current observed user state towards an observed user state associated with the maximized cost function. | 11-19-2015 |
20150358594 | TECHNOLOGIES FOR VIEWER ATTENTION AREA ESTIMATION - Technologies for viewer attention area estimation include a computing device to capture, by a camera system of the computing device, an image of a viewer of a display of the computing device. The computing device further determines a distance range of the viewer from the computing device, a gaze direction of the viewer based on the captured image and the distance range of the viewer, and an active interaction region of the display based on the viewer's gaze direction and the distance range of the viewer. The active interaction region is indicative of a region of the display at which the viewer's gaze is directed. The computing device displays content on the display based on the determined active interaction region. | 12-10-2015 |