At least a main area and a candidate area are provided on a display screen of a display device, and a display control unit that causes content displayed in the candidate area when reproduction of content displayed in the main area ends to be displayed in the main area, and a detection unit that detects a person from a captured image of at least a place where the display screen is visually recognizable are included, wherein the display control unit changes the content displayed in the candidate area depending on the person during reproduction of the content displayed in the main area.

Systems and methods are provided for displaying personalized preview images during trick-play operations of a media asset based on user profile data and an importance of frames of the media asset. A request from a user to move a slider of a progress bar associated with a media asset is received while the media asset is being generated for display. A scene from the media asset that contains a play position indicated by the slider is identified and a frame that best matches user profile data of the user and importance data for the scene is identified. The identified frame is generated for display as an overlay over the displayed media asset.

A cloud-based computing system is configured to (i) maintain a scheduled playlist of media items, a current playback position within the scheduled playlist, and a priority media item for playback, (ii) receive, from a first playback device associated with a user account, a first request to play back the scheduled playlist, (iii) transmit the priority media item to the first playback device for playback before any media item from the scheduled playlist, (iv) receive, from a second playback device associated with the user account, a second request to play back the scheduled playlist, (v) determine that the priority media item should not be transmitted to the second playback device, and (vi) after determining that the priority media item should not be transmitted to the second playback device, transmit one or more media items from the scheduled playlist to the second playback device based on the current playback position within the scheduled playlist.

Systems and methods are described herein for retrieving an information file from a user profile about a scheduled trip, where access to content may be restricted and identifying, based on the consumption pattern, a first progression point before the scheduled start time and a second progression point after the scheduled end time of the scheduled trip. Based on the difference between the first and second progression points, the media guidance application causes to be stored the respective media assets on a consumption device. Then before departing for the scheduled trip, the media guidance application confirms the first progression points against the current progression point and causes to adjust the stored media assets based on a difference between the current progression point and the first progression point.

Systems and methods are provided for recommending media content to users with disabilities. In response to determining that a user has a disability, a type of the disability is determined. A media content item to recommend to the user is determined, among a plurality of media content items, based on the determined type of disability and a favorability factor of the media content item for the determined type of disability. The favorability factor of the media content item corresponds to an ability of a user with the determined type of disability to comprehend the media content item. An identifier of the determined media content item is generated for presentation.

A media sharing and communication system, including a recording mechanism that records a desired portion of media upon activation by a first individual user, a first user transmitter/receiver that transmits the portion of media and a message generated by the first individual user regarding the portion of media to a second individual user and is capable of transmitting a message to a second individual user, a confirmation mechanism that confirms that the second individual user is authorized to view the portion of media, a notification mechanism that notifies the first individual user if the second individual user is not authorized to receive the portion of media, a second user transmitter/receiver that receives the portion of media and voice message upon authorization of the second individual user, a search mechanism, and a video recording mechanism, an online betting module, and an online food ordering module.

Methods, apparatus, systems to determine a conditional probability based on audience member probability distributions for media audience measurement are disclosed. Disclosed example methods for media audience measurement include determining a first audience probability distribution for a first member of a household and determining a second audience probability distribution for a second member of the household. Disclosed example methods also include calculating probabilities for audience combinations of the first member and the second member of the household based on the first audience probability distribution and the second audience probability distribution. Disclosed example methods further include determining a household audience characteristic probability based on the calculated probabilities of the audience combinations of the household. The household audience characteristic indicates likelihoods of different possible audience compositions of the household for a media event.

Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for processing of messages at a media device for analysis purposes. An embodiment operates by transmitting a message request from a media device to a messaging server. In response, the media device receives a message response containing a message and messenger identifier. The media device generates a hash value of an identifier associated with the media device and the messenger identifier. The media device then determines whether the hash value maps into a control group. Finally, the media device processes the message based on whether the hash value maps into the control group.

In one general aspect, a method can include detecting at least one indicator of user-initiated interaction with a computing device, obtaining data related to a demographic of a user of the computing device, identifying a current state of the computing device, determining that content displayed on a first display device included in the computing device is to be casted to a second display device separate from the computing device based on the at least one indicator of the user-initiated interaction with the computing device, the data related to a demographic of a user of the computing device, and the current state of the computing device, and casting the content displayed on the first display device to the second display device.

Implementations claimed and described herein provide systems and methods for behavior assessment for an individual. In one implementation, user data for the individual is obtained from one or more digital sources. Categorized user data is created by transforming the user data into a platform independent format. The categorized user data is associated with a plurality of content-based bins. One or more behavioral insight categories are determined from the categorized user data. A plurality of behavioral metrics is determined based on the one or more behavioral insight categories and the categorized user data. A personality profile for the individual is generated by converting the plurality of behavioral metrics into one or more scores. A risk assessment for the individual is generated based on the personality profile.