Interactive Content Cueing for Voice Actions During Media Playback
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Solution Overview
Problem
Existing natural language processing systems lack the ability to seamlessly integrate interactive content within non-interactive experiences, such as music playback or podcast listening, while allowing users to easily engage with the content through simple voice commands.
Innovation Solution
A system that outputs an initial cue indicating interactive content is about to follow, followed by the content itself and instructions on how to interact, and processes user inputs to perform requested actions related to the content, using context data to route inputs to appropriate components and resume the original task.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If interactive content is integrated within non-interactive experiences, then user engagement is enhanced, but system complexity increases
Solution Approach 1:
The system segments the content delivery into distinct phases: non-interactive content delivery phase and interactive content phase. During non-interactive playback, the system maintains readiness to transition to interactive mode without disrupting the primary content flow. This segmentation allows the system to handle both content types without requiring complete system redesign for interactivity.
Solution Approach 2:
The system performs preliminary actions by pre-processing and staging interactive content elements before they are needed. Context data is collected and prepared in advance, and the system maintains a ready state for handling user interactions even during non-interactive playback. This preliminary preparation reduces the complexity burden during actual interaction moments.
2Ease of operation
If voice commands are added for content interaction, then ease of operation improves, but processing complexity increases
Solution Approach 1:
The system implements a universal natural language processing framework that handles multiple content types and interaction scenarios through a single voice command interface. The same speech recognition and natural language understanding components process commands for both non-interactive and interactive content, eliminating the need for separate processing pipelines and reducing overall system complexity despite enhanced functionality.
Solution Approach 2:
The system introduces an intermediary layer consisting of speech recognition and natural language understanding components that translate diverse user voice commands into standardized processing requests. This intermediary abstracts the complexity of voice processing from the content delivery logic, allowing simple voice commands to control complex interactive content without requiring complex processing at each content layer.
3Stability of the object's composition
If context data routing is implemented, then task continuity is maintained, but information processing load increases
Solution Approach 1:
The system applies local quality by routing context data processing to specific components based on their functional requirements. Different portions of context data are handled by specialized handlers that process only the information relevant to their function, rather than all components processing all data. This localized processing maintains task continuity while reducing redundant information processing across the system.
Data Source
AI summary
Techniques for outputting interactive content and processing interactions with respect to the interactive content are described. While outputting requested content, a system may determine that interactive content is to be outputted. The system may determine output data including a first portion indicating that interactive content is going to be output and a second portion representing content corresponding to an item. The system may send the output data to the device. A user may interact with the output data, for example, by requesting performance of an action with respect to the item.


