In accordance with some implementations, a method for measuring viewership of media content is disclosed. The method is performed on a client system. The client system obtains identification information for individuals who have agreed to participate in a media viewership totals measurement study, detects a first user of the client system, determines media content being presented in proximity to the first user, automatically determines if the first user is an individual who has agreed to participate in the media viewership totals measurement study; and generates viewership data according to the determination.

In an aspect, during a presentation of a presentation material, viewers of the presentation material can be monitored. Based on the monitoring, new content can be determined for insertion into the presentation material. The new content can be automatically inserted to the presentation material in real time. In another aspect, during the presentation, a presenter of the presentation material can be monitored. The presenter's speech can be intercepted and analyzed to detect a level of confidence. Based on the detected level of confidence, the presenter's speech can be adjusted and the adjusted speech can be played back automatically, for example, in lieu of the presenter's original speech that is intercepted.

In an aspect, during a presentation of a presentation material, viewers of the presentation material can be monitored. Based on the monitoring, new content can be determined for insertion into the presentation material. The new content can be automatically inserted to the presentation material in real time. In another aspect, during the presentation, a presenter of the presentation material can be monitored. The presenter's speech can be intercepted and analyzed to detect a level of confidence. Based on the detected level of confidence, the presenter's speech can be adjusted and the adjusted speech can be played back automatically, for example, in lieu of the presenter's original speech that is intercepted.

Systems and methods are presented for providing personalized content based on gestures, in order to provide a seamless and user-driven feedback capture platform that captures user gestures and provides improved personalized content. The system captures biometric data from the user during the presentation of a first content item from a first content source. The system identifies the feedback indicator from the biometric data captured during the output of the first content item and stores an identifier of the second content item associated with the first content item in the master list. The system generates the master list for display and, in response to receiving a selection of the identifier of the second content item, retrieves for output the second content item from the second content source on the user device.

Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

An ad in a movie can be a static ad having a position in the movie that cannot be moved, or a dynamic ad having a position in the movie that can be changed. When a viewer wishes to skip a portion of the movie containing the ad, the playback system determines whether the ad is static or dynamic. If the ad is static, only the portion of the movie preceding the static ad can be skipped; the ad is unskippable. This technique is referred to as “bounceback” since the end of the skip bounces back to the start of the static ad. If the ad is dynamic, it is moved to after the end of the skip. This technique is referred to as “slip-ad” since the ad slips to later in the movie. When a movie has multiple ads, some can be static and some can be dynamic.

Systems and methods for a media guidance application that adjusts output parameters of media assets delivered to output devices based on user preferences of users near the output devices. For example, the media guidance application may adjust the volume to be higher at a speaker near a first user who enjoys a particular media asset and lower at a speaker near a second user who dislikes the media asset.

Systems and methods for a media guidance application that adjusts output parameters of media assets delivered to output devices based on user preferences of users near the output devices. For example, the media guidance application may adjust the volume to be higher at a speaker near a first user who enjoys a particular media asset and lower at a speaker near a second user who dislikes the media asset.