Abstract: Systems and methods for efficiently loading interactive media guide data based on user history are provided. A plurality of asset descriptions associated with a first media asset is received. A second media asset related to the first media asset is identified. An asset description is selected form the plurality of asset descriptions based on user history of accessing the second media asset. Data for the first media asset is loaded. Data for the first media asset comprises the selected asset description.

Abstract: Methods and systems are described herein for a media guidance application that improves the customization and calibration of user devices to a particular user. For example, in response to erroneously detecting (or failing to detect) a user input of a first type, the media guidance application may re-calibrate the user device based on subsequent corrective inputs issued using a second input type such that future user inputs of the first type will not be erroneously detected (or fail to be detected).

Abstract: Systems and methods for efficiently loading interactive media guide data based on user history are provided. A plurality of asset descriptions associated with a first media asset is received. A second media asset related to the first media asset is identified. An asset description is selected form the plurality of asset descriptions based on user history of accessing the second media asset. Data for the first media asset is loaded. Data for the first media asset comprises the selected asset description.

Abstract: Methods and systems are disclosed herein for a media guidance application configured to generate for display an icon that provides feedback to a user related to the current brain activity of the user. For example, a media guidance application may monitor the brain activity of the user in order to determine whether or not to perform a particular operation. The media guidance application may further generate a display of icons that inform the user of the current brain activity of the user and/or the progress of the user towards achieving a particular operation.

Abstract: Systems and methods for efficiently loading interactive media guide data based on user history are provided. A plurality of asset descriptions associated with a first media asset is received. A second media asset related to the first media asset is identified. An asset description is selected form the plurality of asset descriptions based on user history of accessing the second media asset. Data for the first media asset is loaded. Data for the first media asset comprises the selected asset description.

Abstract: Methods and systems for scheduling media content presentation across multiple devices are disclosed. A media planner application generates media event presentation schedules for one or more users based on user-scheduled media events and automatic media event recommendations. Media events can be scheduled for presentation on multiple user devices, including portable devices. Media event recommendations can be generated based at least in part on user preferences and habits, such as user media preferences, device availability, device usage, device connectivity, and user mood.

Abstract: Methods and systems are described herein for providing objects describing media content. For example, in response to detecting that a particular media listing is not associated with an graphic and/or text content (e.g., box art) describing the particular media listing, a media guidance application may generate a custom graphic and/or text content (e.g., custom box art) for the media listing based on graphic and/or text content of a media listing for a media asset associated with the particular media asset.

Abstract: Methods and systems are disclosed herein for a media guidance application configured to generate for display an icon that provides feedback to a user related to the current brain activity of the user. For example, a media guidance application may monitor the brain activity of the user in order to determine whether or not to perform a particular operation. The media guidance application may further generate a display of icons that inform the user of the current brain activity of the user and/or the progress of the user towards achieving a particular operation.

Abstract: Methods and systems are described herein for a media guidance application that improves the customization and calibration of user devices to a particular user. For example, in response to erroneously detecting (or failing to detect) a user input of a first type, the media guidance application may re-calibrate the user device based on subsequent corrective inputs issued using a second input type such that future user inputs of the first type will not be erroneously detected (or fail to be detected).

Abstract: Methods and systems are described herein for providing objects describing media content. For example, in response to detecting that a particular media listing is not associated with an graphic and/or text content (e.g., box art) describing the particular media listing, a media guidance application may generate a custom graphic and/or text content (e.g., custom box art) for the media listing based on graphic and/or text content of a media listing for a media asset associated with the particular media asset.

Abstract: Systems and methods for efficiently loading interactive media guide data based on user history are provided. A plurality of asset descriptions associated with a first media asset is received. A second media asset related to the first media asset is identified. An asset description is selected form the plurality of asset descriptions based on user history of accessing the second media asset. Data for the first media asset is loaded. Data for the first media asset comprises the selected asset description.

Abstract: Systems and methods for efficiently loading interactive media guide data based on user history are provided. A plurality of asset descriptions associated with a first media asset is received. A second media asset related to the first media asset is identified. An asset description is selected form the plurality of asset descriptions based on user history of accessing the second media asset. Data for the first media asset is loaded. Data for the first media asset comprises the selected asset description.

Abstract: Methods and systems are described herein for a media guidance application that selects a control scheme based on a number of user input types that are distinguishable based on brain activity monitored by a user device. For example, if the media guidance application determines that only two different user input types may be based on brain activity, the media guidance application will select a control scheme that only requires two different functions to select any available media guidance application operations.

Abstract: Methods and systems are described herein for a media guidance application that selects a control scheme based on a number of user input types that are distinguishable based on brain activity monitored by a user device. For example, if the media guidance application determines that only two different user input types may be based on brain activity, the media guidance application will select a control scheme that only requires two different functions to select any available media guidance application operations.

Abstract: Methods and systems are discussed herein for improving the efficiency and ease of navigating and selecting media content without the need for additional keys, buttons, or other inputs. For example, in response to the same user input, the media guidance application may determine different numbers of content sources to skip, in a binary fashion, based on the total number of content sources, the order of the content sources, the direction a user wishes to navigate, and/or prior user inputs related to navigating the content sources.

Abstract: Methods and systems are discussed herein for improving the efficiency and ease of navigating and selecting media content without the need for additional keys, buttons, or other inputs. For example, in response to the same user input, the media guidance application may determine different numbers of content sources to skip, in a dynamic fashion, based on the total number of content sources, the order of the content sources, the direction a user wishes to navigate, and/or prior user inputs related to navigating the content sources.

Abstract: Systems and methods are presented for detecting users within a range of a media device. A detection region may be defined that is within the range of the media device and smaller than the range. The detection region may be stored. It may be determined whether a user is within the detection region. The media device may be activated and settings associated with the user may be applied when a user is within the detection region. In some embodiments, settings associated with a user may be compared to provided media content when the user is within the detection region. The content may change when the settings conflict with the media content. Reminders may be provided to or directed to a plurality of users within the range of the media device.

Abstract: Systems and methods are presented for detecting users within a range of a media device. A detection region may be defined that is within the range of the media device and smaller than the range. The detection region may be stored. It may be determined whether a user is within the detection region. The media device may be activated and settings associated with the user may be applied when a user is within the detection region. In some embodiments, settings associated with a user may be compared to provided media content when the user is within the detection region. The content may change when the settings conflict with the media content. Reminders may be provided to or directed to a plurality of users within the range of the media device.

Abstract: Methods and systems are disclosed herein for adjusting power consumption and/or sensitivity levels of a user device based on the current brain activity of a user. For example, a media guidance application implemented on a user device may monitor brain activity of a user. In response to determining particular brain activity (e.g., associated with the inactivity of the user), the media guidance application may initiate a stand-by mode in order to reduce power consumption.

Abstract: Methods and systems are disclosed herein for a media guidance application configured to monitor brain activity in various regions of a brain of a user in order to navigate, recommend, provide access to, and perform operations related to media content. For example, in response to detecting that particular brain activity in a region of the brain does not correspond to a threshold range of brain activity for that region of the brain, a media guidance application may perform a media guidance operation related to that region of the brain.