Contextual Reply Automation for Communication Devices
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Solution Overview
Problem
Existing computing devices require users to manually input responses and perform additional operations when composing a response to a received communication, which can be time-consuming and inconvenient.
Innovation Solution
A computing device that receives a communication, determines candidate responses based on the communication, and automatically sends the selected response while performing contextually related operations, such as creating calendar events or providing directions, without additional user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually input responses and perform additional operations when composing a response to a received communication, then the response accuracy and completeness can be ensured, but the time consumption and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by automatically generating candidate responses and determining contextually related operations before the user needs to respond. When the user selects a candidate response, the system has already prepared the associated operations (such as creating calendar events or providing directions), eliminating the need for manual input of these operations and reducing time consumption while maintaining reliability.
Solution Approach 2:
The system enables self-service by automatically determining and executing contextually related operations based on the selected candidate response. Instead of requiring the user to manually perform each operation, the system autonomously identifies and carries out relevant tasks such as scheduling calendar events or providing directions, thereby reducing time consumption while ensuring accurate execution of intended actions.
2Adaptability or versatility
If users manually perform additional operations when composing a response, then the operations can be customized according to specific needs, but the ease of operation decreases
Solution Approach 1:
The system determines contextually related operations automatically based on the selected candidate response and the original communication content. This self-service approach identifies and executes relevant operations such as creating calendar events or providing directions without requiring manual user input, thereby maintaining adaptability to specific needs while significantly improving ease of operation.
Solution Approach 2:
The system uses feedback from the selected candidate response and the original communication to automatically determine appropriate contextually related operations. By analyzing the content and context, the system adapts its operation selection to match user needs while eliminating manual customization steps, thus balancing adaptability with operational convenience.
3Productivity
If the system automatically determines and executes contextually related operations, then the productivity increases, but the device complexity increases
Solution Approach 1:
The system implements a multi-functional module that handles both candidate response generation and determination of contextually related operations. By consolidating these functions into a single intelligent system capable of understanding communication content and automatically executing relevant tasks, the system achieves high productivity while managing complexity through functional integration rather than proliferation of separate components.
4Ease of operation
If the system provides stock responses for user selection, then the ease of operation improves, but the adaptability to specific communication contexts decreases
Solution Approach 1:
The system dynamically adjusts the candidate responses based on the specific communication context, modifying parameters such as tone, content, and associated operations to match the situation. This allows the system to provide pre-prepared responses that are both easy to select and highly adaptable to specific contextual requirements, resolving the contradiction between convenience and relevance.
Data Source
AI summary
A computing device includes at least one processor and at least one module, operable by the at least one processor to receive an communication, determine, based at least in part on the communication, one or more candidate responses to the communication, and receive an indication of user input that selects a candidate response from the one or more candidate responses. The at least one module may be further operable by the at least one processor, responsive to receiving the indication of user input that selects the candidate response, to send the candidate response, determine, based at least in part on at least one of the candidate response and the communication, an operation that is contextually related to the candidate response, and execute the operation.