Dismiss
InnovationQ will be updated on Sunday, Oct. 22, from 10am ET - noon. You may experience brief service interruptions during that time.
Browse Prior Art Database

A System for Optimizing Forms

IP.com Disclosure Number: IPCOM000248919D
Publication Date: 2017-Jan-22
Document File: 2 page(s) / 251K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is system that clarifies form optimization based on input group weight, accessibility, efficiency, and geography to account for various types of people and regions by analyzing the data entry process before and after a user submits a form. The idea solves the problem of unorganized or poorly designed forms that impede data entry by providing a monitoring system to prioritize the most used input fields, grouping fields together, and setting visual boundaries within which the input fields are kept to streamline form entry.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

1

A System for Optimizing Forms

Implementation problems with current standardized online forms (e.g., forms into which customers enter contact information, etc.) include erroneous field entries, incorrect field organization, excessive field entry time, users leaving fields blank, awkward field organization that leads to frequent scrolling, etc.

A method is needed to reduce field entry errors and optimize a form's field layout over time to result in more submissions and better entries.

The novel solution incorporates visual design, data entry analysis, and a cognitive algorithm that learns about the attributes in a form to provide an optimal layout. The idea solves the problem of unorganized or poorly designed forms that impede data entry by providing a monitoring system to prioritize the most used input fields, grouping fields together, and setting visual boundaries within which the input fields are kept to streamline form entry.

The novel system monitors many form entry sessions over time, independently tracking and ranking each field against the others according to a set of machine-learned ranking criteria. Ranking criteria may include (but are not limited to) time spent filling the field, misspellings within the field, number of backspaces during entry, and/or skipping required fields. The system adjusts the fields on the form according to the ranking criteria, using a reformatting method. Reformatting methods may include (but are not limited to) reordering, regrouping, removing, resizing, hiding, or recoloring the elements on the form.

The system follows the direction in which people are filling out forms and takes into account:

· The duration each user remains on each form field · How much users scroll up and down the form before submission · The number of times users click the fields · The number of times a field is submitted with erroneous data · The number of times users change the data in a field before submission.

With every form submission, the system further optimizes the form. The novel system optimizes the forms using the following approach:

1. Field Priority Based on Use. This provides fields with priority levels based on speed and frequency of entries and access. The system uses heat mapping of cursor activity or...