Intelligent Media Assistant with Context-Aware Low-Disruption Interaction
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Solution Overview
Problem
Integrating digital assistants in a media environment, such as televisions and streaming devices, poses a challenge as user interactions can disrupt media content consumption, necessitating a balance between providing assistance and minimizing disruption.
Innovation Solution
A digital assistant system that detects user input types and adjusts output formats to minimize disruption, including displaying contextually relevant natural language requests, pausing media content when necessary, and switching user interfaces based on user inputs to optimize interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a digital assistant provides user assistance through audio and visual output, then the user receives sufficient help, but the consumption of media content is disrupted
Solution Approach 1:
The system dynamically adjusts the user interface display area based on the type of media content being consumed. For video content, the assistant uses a smaller, less intrusive display area to minimize visual disruption. For audio-only content, the system can utilize larger display areas or different interaction modes since visual disruption is less of a concern. This dynamic adaptation resolves the contradiction by making the assistance mechanism flexible rather than static.
Solution Approach 2:
The system applies different interaction qualities to different media types. Video content receives a more conservative, minimal-display approach to preserve the viewing experience, while audio content allows for more traditional assistant interactions. This localized quality adjustment ensures that the assistance provided is appropriately tailored to the media consumption context, reducing disruption where it matters most.
2Loss of information
If the digital assistant displays a full user interface to provide comprehensive assistance, then the user receives detailed help, but the display area for media content is reduced
Solution Approach 1:
The user interface is segmented into multiple interactive elements that can be displayed in a compact format. Rather than presenting a single large interface, the system divides assistance information into smaller, manageable segments that can be displayed in a reduced area. This allows comprehensive assistance to be provided through multiple small interactions rather than one large display, resolving the contradiction between information completeness and display area.
Solution Approach 2:
The system transitions from a two-dimensional full-screen interface to a multi-dimensional interaction model where assistance is provided through layered, contextual, or sequential displays. This dimensional change allows the assistant to provide comprehensive help without occupying a large simultaneous display area, as information is presented across time and context rather than all at once in space.
Data Source
AI summary
Systems and processes are disclosed for operating a digital assistant in a media environment. In an exemplary embodiment, a user can interact with a digital assistant of a media device while content is displayed by the media device. In one approach, a plurality of exemplary natural language requests can be displayed in response to detecting a user input of a first input type. The plurality of exemplary natural language requests can be contextually-related to the displayed content. In another approach, a user request can be received in response to detecting a user input of a second input type. A task that at least partially satisfies the user request can be performed. The performed task can depend on the nature of the user request and the content being displayed by the media device. In particular, the user request can be satisfied while reducing disruption to user consumption of media content.