Adaptive Symbol List for Grammar-Driven Data Entry
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Solution Overview
Problem
Data entry environments often face challenges in facilitating user input by accurately suggesting grammatically valid symbols and values, leading to user errors and inefficiencies, especially when the grammar allows for arbitrary values or restricts input options based on the context.
Innovation Solution
A technique is presented where a data entry environment suggests a list of symbols that match the user's input, adapting the association strength based on whether a value is permitted at the current data entry position, to guide the user towards grammatically correct input by presenting a symbol list comprising valid symbols and, where applicable, value options, thereby reducing accidental selection of invalid options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a symbol list is presented with strong association to user input to encourage grammatically valid symbol selection, then data entry accuracy is improved, but user freedom to input arbitrary values is reduced
Solution Approach 1:
The patent applies dynamics by making the symbol list association strength adaptive rather than fixed. The system dynamically adjusts the strength of association between user input and symbol list options based on whether the current grammar context permits arbitrary values. When values are permitted, association strength is reduced to allow free input; when values are not permitted, association strength is increased to guide toward valid symbols. This dynamic adjustment resolves the contradiction between encouraging accurate symbol entry and allowing user freedom.
Solution Approach 2:
The patent changes the parameter of association strength based on grammar context. By monitoring whether the current data entry position permits arbitrary values according to grammar rules, the system adjusts the degree to which user input is associated with symbol list options. This parameter change allows the system to optimize between guiding users toward valid symbols and allowing free value input, depending on the grammatical context.
2Ease of operation
If the system provides comprehensive symbol list options including both valid symbols and value options, then user guidance is improved, but complexity of the interface increases
Solution Approach 1:
The patent applies local quality by providing different types of options (symbols versus values) at different positions in the symbol list based on local grammar context. Rather than uniformly presenting all options with equal emphasis, the system locally adapts the composition and weighting of options based on whether the current grammar context permits values. This localized differentiation provides comprehensive guidance without overwhelming the user with uniformly complex presentations.
Solution Approach 2:
The patent segments the symbol list into distinct options: valid symbols and permissible values. By separating these option types and applying different association strengths to each segment based on grammar context, the system provides comprehensive guidance while maintaining interface clarity. The segmentation allows users to distinguish between symbol selection and value entry paths without confusion.
3Reliability
If the system adapts association strength based on grammar context to reduce accidental selections, then error reduction is improved, but processing complexity increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the grammar context and adjusting association strength accordingly. The system provides feedback to the user interface about which option type (symbol or value) is currently permitted by the grammar, and adjusts the association strength to guide appropriate selections. This feedback mechanism reduces errors by preventing accidental selections of invalid options while maintaining relatively simple processing through rule-based context evaluation.
Data Source
AI summary
In a data entry environment constrained by a symbolic grammar, a data entry position in the data set may be amenable to the insertion of a subset of symbols in compliance with the grammar. Also, the grammar may or may not permit the insertion of a value of one or more types at the data entry position of the data set. In order to facilitate grammatically correct data entry, a symbol list may be presented that indicates the grammatically valid symbols for the symbolic context of the data entry position, as well as the validity of the insertion of a value at the data entry position. The symbol list may also permit the selection of a symbol list option, and may insert the selected symbol or value at the data entry position. Various symbol list option selection inputs may be associated with the symbol list options to facilitate and economize data entry, and the association may be adapted based on whether or not a value is permitted at the data entry position. Several variations of these techniques are discussed relating to the use of symbol lists in various data entry and grammar scenarios, the presentation of the symbol lists, and the user interaction with the symbol lists.