Auto-generated To-do List From Instant Messaging
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Solution Overview
Problem
Employees often forget to add tasks assigned via instant messaging to their calendars or to-do lists, leading to incomplete or forgotten tasks due to lack of timely reminders and context.
Innovation Solution
An auto-generated to-do list system that analyzes instant messaging conversations to identify task senders, bodies, and dates, integrating these into a user's to-do list with optional verification and reminder features, and the ability to append conversation transcripts or links for context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If employees manually add tasks to their to-do lists, then they can control the task entry process, but they often forget to add tasks timely and lose context
Solution Approach 1:
The system automatically extracts task information from instant messaging conversations and generates to-do list entries without requiring manual input from the employee. The system serves itself by monitoring IM conversations, identifying tasks, and creating entries autonomously, thereby eliminating the manual effort and memory burden on the employee while maintaining reliable task tracking
Solution Approach 2:
The system provides feedback by automatically creating to-do list entries from IM conversations and notifying employees of new tasks. This closed-loop feedback mechanism ensures employees are informed of task assignments without needing to manually process the information, improving both reliability and ease of operation
2Loss of information
If employees manually create to-do list entries, then they can verify task details, but they may forget the context and deadlines
Solution Approach 1:
The system performs preliminary action by automatically extracting and preserving task context, sender information, and deadlines from IM conversations before the employee needs to act on the task. The full conversation transcript is attached to the to-do list entry, ensuring context is pre-available without requiring the employee to search or remember details
Solution Approach 2:
The system acts as an intermediary between the IM conversation and the to-do list. It captures the complete context from the conversation, processes it into structured task entries, and presents it in the to-do list with attached transcripts. This intermediary function preserves information that would otherwise be lost in manual transcription
3Productivity
If the system automatically generates to-do list entries, then task entry speed increases, but accuracy may decrease without verification
Solution Approach 1:
The system applies partial action by automatically extracting only the essential task information (task body, sender, deadline) while attaching the full conversation transcript for reference. This allows high-speed automated entry of critical details while maintaining the option for employees to review and correct any inaccuracies in the extracted information
Solution Approach 2:
The system incorporates feedback mechanisms where employees can review and verify automatically generated task entries before finalizing them. This feedback loop allows the system to maintain high productivity through automation while ensuring accuracy through employee verification and correction of any extracted information
Data Source
AI summary
Methods, systems, and computer readable media for providing an auto-generated to-do list are described. Text is received in an instant messenger conversation, wherein the text comprises a task sender, a task body, and a task date, and an input is received selecting a selection of the text, wherein the selection comprises the task body. The text is analyzed to identify the task sender, the task body, and the task date. The task is then entered into the to-do list, wherein the task comprises the task sender, the task body, and the task date, thereby providing an auto-generated to-do list.