One Box Calendar Entry Interface Using Natural Language Parsing
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Solution Overview
Problem
Traditional calendar event entry interfaces are inefficient and time-consuming for users, requiring them to navigate through extensive and often multi-page forms to input event details.
Innovation Solution
A single-entry interface, referred to as a 'one box' entry, simplifies the event creation process by using parsing, fixed or suggested formats, reserved syntax, contextual information, and natural language logic to extract necessary event details from user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional multi-page forms are used for event entry, then comprehensive event details can be captured, but user time and effort increase significantly
Solution Approach 1:
The patent segments the event entry process into two distinct phases: (1) a concise single-page form that captures essential event information quickly, and (2) a separate detailed information section that can be populated later or through automated means. This segmentation allows users to complete the time-critical portion rapidly while ensuring comprehensive data collection occurs separately.
Solution Approach 2:
The system performs preliminary actions by automatically populating event details from calendar data, contact information, and other available sources before the user completes the form. This preliminary population reduces the manual input required while ensuring comprehensive information is captured, resolving the contradiction between speed and completeness.
2Loss of information
If extensive forms with many fields are used, then all necessary event information is collected, but interface complexity and user burden increase
Solution Approach 1:
The interface is segmented into a primary single-page form containing only essential fields (title, date, time, location) and a separate section for detailed information. This segmentation maintains interface simplicity while ensuring comprehensive data collection occurs in the detailed section, which can be accessed separately or auto-populated.
Solution Approach 2:
The single-page form serves multiple functions: it captures essential event information, provides navigation to detailed fields, and can trigger automated data population from various sources. This multi-functionality reduces the need for separate comprehensive forms while maintaining information completeness.
3Loss of information
If multi-page forms are required for complete event entry, then thorough data collection is achieved, but ease of operation deteriorates
Solution Approach 1:
The entry process is segmented into an easy, single-page essential information form and a separate detailed information section. Users can complete the essential form quickly and easily on one page, while thorough data collection occurs through the separate detailed section that can be populated automatically or accessed later, maintaining both ease of operation and data thoroughness.
Solution Approach 2:
The system provides self-service by automatically populating detailed event information from calendar data, contact information, and other sources without requiring manual user input across multiple pages. This automation maintains thorough data collection while significantly improving ease of operation, as users only need to review and confirm information rather than manually enter everything.
Data Source
AI summary
Disclosed are embodiments of systems and methods that allow for simplified entry of data. In one or more embodiments, an entry may be provided via a simplified entry form. Embodiments simplify data entry using natural language parsing. Embodiments may enable creation of an event for a calendaring application and/or within an application that is not primarily a calendaring application. Also disclosed are embodiments of systems and methods that allow for robust, flexible, secure, and efficient network and/or data file management. In one or more embodiments, items may be associated with labels, tags, or other identifiers, third parties may be associated with labels, tags, or other identifiers, and sharing with the third party may be based upon comparisons of the labels, tags, or other identifiers associated with the items and the labels, tags, or other identifiers associated with the third parties.