Implicit User Confidence Assessment via Entry Sequence Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer-based forms lack a convenient method for users, such as law enforcement officers, to indicate their confidence in the accuracy of entered information, leading to inefficiencies in data collection.
Innovation Solution
A computing system presents data-input fields in a suggested order, allowing users to implicitly indicate confidence levels by their entry order, with a counter system tracking entries to determine user-confidence levels based on deviations from the suggested order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a computer-based form provides a conventional method for users to indicate confidence levels, then the accuracy assessment capability is improved, but the ease of operation deteriorates due to cumbersome interfaces
Solution Approach 1:
The system automatically determines user confidence levels by analyzing the order in which users enter data into fields, without requiring the user to manually indicate confidence. The counter tracking entry sequence and comparison with default field order automatically generates confidence metrics, making the system self-serve the confidence assessment function.
Solution Approach 2:
An intermediary counter mechanism is introduced to track the sequence of user interactions with form fields. This counter serves as a mediator between the user's natural data entry behavior and the system's confidence level determination, translating entry sequence into confidence metrics without requiring direct user input about confidence.
2Ease of operation
If no confidence indication method is provided in the form, then the ease of operation is maintained, but the reliability of data collection deteriorates
Solution Approach 1:
The system provides implicit feedback about data reliability by analyzing user behavior patterns during form completion. The counter-based tracking of field entry order generates confidence level information that reflects the user's certainty about entered data, providing the system with reliability metrics without disrupting the user experience.
Solution Approach 2:
The confidence assessment function serves itself by automatically extracting confidence information from the user's natural data entry sequence. The counter mechanism and comparison logic automatically generate reliability metrics from observed user behavior, eliminating the need for separate confidence indication mechanisms.
Data Source
AI summary
An embodiment takes the form of a method carried out by a computing system comprising a processor and instructions for carrying out the method. The method includes (i) presenting via a user interface a plurality of data-input fields having an associated default order for user entry of respective values in the respective data-input fields, (ii) receiving respective values entered via the user interface in the respective data-input fields, (iii) storing a respective current counter value of an incrementing counter in association with receiving each respective entered value, (iv) establishing a respective user-confidence level for each of one or more of the respective entered values, wherein each established user-confidence level is set based at least in part on a comparison of the associated default order with a set of one or more of the stored counter values, and (v) outputting one or more of the established user-confidence levels.