Automated Reply Content Generation Using Schedule Data
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Solution Overview
Problem
Users face challenges in efficiently formulating replies to electronic communications related to events, such as meetings or social gatherings, as they need to reference their schedule data to determine appropriate responses, which can be time-consuming and require manual input.
Innovation Solution
A method and apparatus that utilize features of an electronic communication and the recipient's schedule data to determine suitable n-grams for inclusion in a reply, providing automatic or suggested responses through a computing device, including the use of a trained machine learning system to analyze message features and schedule data to generate appropriate reply content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input and reference to schedule data is required for formulating replies, then the accuracy and appropriateness of replies is improved, but the time required and user effort increase
Solution Approach 1:
The system performs preliminary analysis of schedule data and message features before the user needs to formulate a reply. By pre-processing the calendar information and communication content, the system prepares relevant data and potential reply options in advance, reducing the time required when the user actually needs to respond while maintaining accuracy through comprehensive pre-analysis.
Solution Approach 2:
The system automatically retrieves schedule data, analyzes message features, and generates reply suggestions without requiring manual user input for these tasks. The system serves itself by autonomously accessing calendar information, processing the communication content, and formulating appropriate reply options, thereby reducing user effort while maintaining reply accuracy.
2Ease of operation
If manual input is required for reply formulation, then the user can control the reply content, but the productivity and response efficiency decrease
Solution Approach 1:
The system performs more analysis and generates more reply options than strictly necessary, providing comprehensive suggestions that cover various scenarios. This excessive action in terms of analysis depth and option generation ensures high productivity by reducing the user's workload, while user control is maintained by allowing selection from the generated options.
Solution Approach 2:
The system acts as an intermediary between the user's schedule data and the reply formulation process. It automatically accesses calendar information, analyzes message features, and generates appropriate reply suggestions, serving as a mediator that handles the complex processing while the user makes final decisions, thereby balancing automation with user control.
3Loss of information
If schedule data reference is required for determining appropriate responses, then the relevance of replies to user availability is improved, but the device complexity and processing requirements increase
Solution Approach 1:
The system extracts only the essential information from schedule data that is relevant to reply formulation, such as availability status, existing commitments, and time conflicts. By extracting only the necessary elements rather than processing entire schedule databases, the system maintains comprehensive availability information while reducing processing complexity and resource requirements.
Solution Approach 2:
The system segments the schedule data processing into distinct components: retrieving availability information, analyzing conflicts with proposed event times, and generating appropriate reply suggestions based on the segmented analysis. This segmentation allows the system to handle complex schedule data through manageable modules, reducing overall system complexity while maintaining information completeness.
Data Source
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AI summary
Methods and apparatus related to determining reply content for a reply to an electronic communication and providing the reply content for inclusion in the reply. Some of those implementations are directed to determining, based on an electronic communication that includes an event and is sent to a user, reply content that is tailored to the electronic communication and tailored to schedule data of the user that is temporally related to the event, and providing the reply content for inclusion in a reply by the user to the electronic communication. For example, the reply content may be automatically included in the reply and/or suggested for inclusion in the reply.