Rovi Guides, Inc.

Adeia Guides Inc.

Gyanveer Singh

Vikram Makam Gupta

Rajendran Pichaimurthy

Vishwas Sharadanagar Panchaksharaiah

Reda Harb

Vijay A Kumar

Prakash Viswanathan

Sukanya Agarwal

Cato Yang

Dolphin Masilamany Santha

Susanto Sen

Pawan Nagdeve

Poovarasan Chitravel

Gudimetla Baby

Sambeet Burma

Urvashi Verma

Arun Sreedhara

Sriram Ponnuswamy

William L Thomas

Madhusudhan Srinivasan

Charishma Chundi

Dhananjay Lal

Charles Dawes

Shakir Sharfraz Ashfaq Ahamed

Kyle Beckemeyer

Ankur Anil Aher

Serhad Doken

Madhusudhan Seetharam

Srikanth Channapragada

Anjum Makkar

Harsha Neerakani

Pooja Srivastava

William A Thomas

Aaina Beniwal

A payment transaction is initiated for a user, based on a voice command, on a public voice-activated device. A user device associated with the user is identified. A transaction identifier is generated and transmitted to the identified user device. Once the user has entered their banking or credit card information to use for payment, a payment token is received from the user device. The transaction is then completed using the payment token. The payment token may be generated from a local digital wallet on the user device, or from a server-based digital wallet.

Systems and methods for completing payment transactions initiated through a first device using a second device

Systems and methods are described for generating a virtual reality (VR) environment comprising an interactive object, wherein the interactive object is associated with a service provider and is generated based on a user profile associated with a current VR session in the VR environment. The systems and methods may detect user input in association with one or more options associated with the interactive object, and, based on the detecting, cause an action to be performed in association with the user profile and the service provider associated with the interactive object, wherein the action comprises accessing a service provided by the service provider, the service being external to the VR environment.

Personalized user engagement in a virtual reality environment

Static content, such as text, an audio clip, an image, or a video clip, may be forwarded to users in a communication, e.g., a message, e-mail, social media post, social chat message, or made available in a blog post, or webpage. It is determined whether time-sensitive information included in that content will be updated automatically. If so, then updated information is obtained, and used to modify the time-sensitive information, e.g., by replacing and/or supplementing the time-sensitive information. If it is not determined that the time-sensitive information will be updated automatically, then the content may be modified by adding an indication that the time-sensitive information is, or may be, outdated, or removing the time-sensitive information from the content. The unmodified content may, optionally, be forwarded to the other users together with the modified content. Feedback from the other users may be used to inform future content modifications.

Maintaining time relevancy of static content

Systems and methods are described for causing a device to perform an action based on a voice command. Devices connected to a localized network and capable of performing one or more actions based on one or more voice inputs may be identified, and device state information for each of the devices may be determined. The systems and methods may determine, based at least in part on the device state information, a predicted voice command, and a particular device of the plurality of devices for which the predicted voice command is intended. A voice input may be received, and based on receiving the voice input, the particular device may be caused to perform an action related to the predicted voice command.

Processing voice input in integrated environment

Systems and methods are provided for dynamically adjusting a personal boundary of an avatar in an XR environment. The system identifies a first avatar in an extended reality (XR) environment based on rule data stored in a storage. In response to the system detecting that the first avatar has entered a portion of the XR environment at a communicable distance from a second avatar, the system does the following steps. The system determines an offensiveness rating of the first avatar. The system retrieves, from the storage, an offensiveness tolerance of the second avatar. The system compares the offensiveness rating of the first avatar and offensiveness tolerance of the second avatar. In response to determining, based on the comparing, that the offensiveness rating of the first avatar exceeds the offensiveness tolerance of the second avatar, the system automatically censors one or more messages from the first avatar to the second avatar.

Dynamically adjusting a personal boundary of an avatar in an XR environment

Systems and methods for creating, monitoring, and managing a breakout conference for a conference call are disclosed. The methods determine topics for breakout rooms and their complexity scores. A breakout room is created for the topics, including separate breakout rooms for complex topics. An expertise score based on a plurality of factors for each device associated with a participant is also calculated. Devices are assigned to separate breakout rooms based on either just the expertise score or if the expertise score meets the threshold of the complexity score. Performance within the breakout rooms is displayed in real-time, such as in a graph. A moderator schedule is generated based the performance within the breakout rooms, where priority is given to a breakout room that has a negative performance over a breakout room with a positive performance.

Systems and methods for creating and managing breakout sessions for a conference session

Systems and methods are described for streaming content to multiple devices from a shared sliding window buffer in kernel space, thereby reducing memory resource use and minimizing context/mode switching between kernel space and user space. For example, concurrent streaming sessions may be seen, e.g., as a live multimedia stream. If a live video is being transmitted as a multicast stream to many devices, rather than each device having a corresponding sliding window buffer in kernel space, each device will share a shared sliding buffer in kernel space. The sliding window buffer size will be at least large enough to stream the slowest connection speed and can be, e.g., multiple times as large as necessary, in case of the issues beyond the worst-case scenario. The system then transmits chunks of the content from the shared sliding window buffer to each of the plurality of client devices.

Optimized kernel for concurrent streaming sessions

Systems and methods are described for assigning a voice assistant service (VAS) from multiple VASs, based on a voice input. The system generally comprises a processor that is configured to process at least one voice input, e.g., with a wake word, and assign at least one VAS to output a response based on the voice input. Some embodiments support the skill or skills of a secondary VAS when the primary VAS is unavailable or when the primary VAS does not possess the required skill. The system may evaluate the skills required to process a user request based on the context and/or intent. The system may distribute data related to voice input and context and/or intent among various VASs to complete a task. Furthermore, the system may classify voice input as generic voice input or target VAS-specific voice input, e.g., by utilizing a trained model.

Systems and methods for managing multiple voice assistant services based on voice input

System and methods for customizing passthrough feed are disclosed. Expected VR content and predicted user movements in a real-world environment are determined based on recently rendered VR content, user activity data, and real-world scenes. When passthrough feed is enabled, it may be customized based on the expected VR content and predicted user movements. Customization techniques comprising custom style filters, style transfer neural networks, and adding VR content elements to the passthrough feed display window may be used to customize the passthrough feed to match the style of the VR content. The use of the customization techniques may be based on one of or a combination of a duration during which the passthrough feed is activated, the color intensity difference between the realities, an event or purpose which triggered activation of the passthrough feed, or a size of a display window of the passthrough feed relative to the VR content.

Customized passthrough

Systems and methods are provided for performing an action associated with a recommendation. An input associated with a first content item is received and a type associated with the first content item is identified. A recommendation is identified based on the type, and an action associated with the recommendation is performed at a first computing device.

Systems and methods to insert additional content

Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

Method and apparatus for curation of content

Methods and systems for determining periods of excessive noise for smart speaker voice commands. An electronic timeline of volume levels of currently playing content is made available to a smart speaker. From this timeline, periods of high content volume are determined, and the smart speaker alerts users during periods of high volume, requesting that they wait until the high-volume period has passed before issuing voice commands. In this manner, the smart speaker helps prevent voice commands that may not be detected, or may be detected inaccurately, due to the noise of the content currently being played.

Method and apparatus for determining periods of excessive noise for receiving smart speaker voice commands

Systems and methods are provided for providing an enhanced viewing experience for one or more users of an interactive media program. One example method includes receiving, at a computing device, the interactive media program, wherein the interactive media program comprises a plurality of alternative segments followed by a common segment. A selection of a first alternative segment is received and is generated for output. A summary of at least one segment from the plurality of alternative segments is generated, and the summary is generated for output. The common segment of the interactive media program is generated for output.

System and methods to enhance interactive program watching

Systems and methods are provided herein for altering a start time of an event based on indicia of how late event attendees will be for the event that are retrieved from location applications corresponding to each attendee of the attendees. For example, a media guidance application may determine a start time of an event, a location of the event, and attendees of the event. The media guidance application may determine location applications corresponding to the attendees. The media guidance application may query the location applications for arrival times of each attendee. The media guidance application may calculate a plurality of differences between each of the arrival times and the start time of the event. Based on the plurality of differences, the media guidance application may delay the start time of the event.

Systems and methods for delaying the start time of an event based on event attendee arrival times

Systems and methods are disclosed for enabling verbal interaction with an NLUI application without relying on express wake terms. The NLUI application receives an audio input comprising a plurality of terms. In response to determining that none of the terms is an express wake term pre-programmed into the NLUI application, the NLUI application determines a topic for the plurality of terms. The NLUI application then determines whether the topic is within a plurality of topics for which a response should be generated. If the determined topic of the audio input is within the plurality of topics, the NLUI application generates a response to the audio input.

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Bihar, India

Gyanveer Singh