Digital Assistant Output Templates for Cross-Mode Consistency
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Solution Overview
Problem
Existing intelligent automated assistants face inefficiencies in providing tailored outputs across different domains, platforms, and modes, leading to a fragmented user experience due to the labor-intensive process of formatting outputs for various use cases.
Innovation Solution
An intelligent automated assistant uses domain-independent output data structures with pattern components grouped into output groups, allowing selection of appropriate components based on the output mode to provide consistent and intuitive outputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If outputs are tailored for each domain, platform, and mode individually, then user experience customization is improved, but system complexity and development effort increase significantly
Solution Approach 1:
The patent implements a universal output data structure that can serve multiple domains, platforms, and modes simultaneously. The template-based framework defines output formats at a higher level of abstraction, allowing the same structure to be reused across different contexts (e.g., weather information, traffic updates, news) without creating separate customization logic for each domain or platform.
Solution Approach 2:
The output data structure is segmented into modular templates with distinct components (e.g., header, body, footer sections). Each template represents a specific output format (card, list, summary) that can be independently selected and combined. This segmentation allows the system to manage complexity by breaking down output formatting into reusable, discrete units rather than handling each output type as a monolithic customization.
2Manufacturing precision
If individual output formats are defined for each mode, then output precision for specific use cases is improved, but development time and labor intensity increase
Solution Approach 1:
The patent employs pre-defined output templates that have been designed and configured in advance for various common output scenarios. These templates contain pre-established structures, formatting rules, and component hierarchies that can be directly applied to specific use cases. When generating output, the system selects and populates the appropriate pre-defined template rather than creating output formats from scratch, significantly reducing development time while maintaining precision.
3Adaptability or versatility
If domain-specific output formatting is implemented, then relevance to specific use cases is improved, but consistency across different domains deteriorates
Solution Approach 1:
The patent applies local quality by allowing different templates to be selected based on the specific domain or use case while maintaining a consistent underlying structure. Each template can be customized for domain-specific requirements (e.g., weather cards vs. traffic lists), but all templates adhere to the same hierarchical data structure and formatting rules defined by the universal output framework. This ensures that while content varies by domain, the overall output composition remains consistent and predictable.
Data Source
AI summary
Systems and processes for operating an intelligent automated assistant are provided. For example, an electronic device can provide an output in an audio, visual, or mixed mode. In one example process, an output mode is selected, and, in response to determining that an output is to be provided to a user, an output data structure is obtained. The output data structure includes pattern components sorted into output groups. At least one pattern component from at least one output group is selected based on the output mode and provided in the output to the user.


