Proximity Display Selection Biasing via Confidence and Spatial Analysis
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Solution Overview
Problem
Mobile computing devices with limited user interfaces face challenges in accurately selecting and correcting hypothesized items on proximity-sensitive displays due to the difficulty in distinguishing between items based on touch inputs, especially when confidence levels and spatial locations are considered.
Innovation Solution
A process that determines whether a touch input represents a selection of an item on a proximity-sensitive display by evaluating the confidence value of the mapping engine's representation of the input data, combined with the spatial location of the touch and the item, to provide an accurate selection indication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional touch interface is used on mobile devices, then the interface is simple and easy to manufacture, but the accuracy of selecting hypothesized items is poor
Solution Approach 1:
The system performs preliminary disambiguation by analyzing touch inputs against multiple hypothesized items before final selection is made. Confidence values are calculated in advance for each hypothesized item based on touch location, allowing the system to pre-determine the most likely intended selection before committing to it.
Solution Approach 2:
The patent introduces a new dimension of confidence value analysis beyond simple spatial proximity. By adding the confidence dimension (combining spatial location with probabilistic confidence scores), the system can distinguish between items that are spatially close but have different likelihoods of being the intended target.
2Productivity
If multiple hypothesized items are displayed close together, then the display efficiency is improved, but the difficulty of distinguishing between items increases
Solution Approach 1:
The system performs preliminary disambiguation by analyzing touch inputs against multiple hypothesized items before final selection is made. Confidence values are calculated in advance for each hypothesized item based on touch location, allowing the system to pre-determine the most likely intended selection before committing to it.
Solution Approach 2:
The system provides feedback through confidence values that indicate the system's certainty about which item was selected. This feedback mechanism allows users to understand the system's interpretation of their touch input, reducing ambiguity when items are displayed close together.
3Measurement precision
If confidence-based selection is implemented, then the accuracy of item selection is improved, but the processing complexity increases
Solution Approach 1:
The system calculates confidence values for all hypothesized items but only needs to identify the single highest-confidence match to make a selection. This partial action approach computes more confidence values than strictly necessary (excessive) but stops after finding the maximum, avoiding full processing of all possibilities.
Solution Approach 2:
The system uses the inherent spatial information from the touch input and the predefined locations of hypothesized items to automatically calculate confidence values without requiring additional user input or manual disambiguation steps.
Data Source
AI summary
In some implementations, data indicating a touch received on a proximity-sensitive display is received while the proximity-sensitive display is presenting one or more items. In one aspect, the techniques describe may involve a process for disambiguating touch selections of hypothesized items, such as text or graphical objects that have been generated based on input data, on a proximity-sensitive display. This process may allow a user to more easily select hypothesized items that the user may wish to correct, by determining whether a touch received through the proximity-sensitive display represents a selection of each hypothesized item based at least on a level of confidence that the hypothesized item accurately represents the input data.