Context-Based User Interface Enrichment for Business Process Efficiency
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Solution Overview
Problem
Business applications often fail to provide users with context-specific information and guidance during tasks, leading to inefficiencies as traditional searching methods do not adequately meet the needs of users within a particular business context, and users may not be aware of the necessary information for completing tasks effectively.
Innovation Solution
A context-based user interface system that automatically generates suggested actions and links by analyzing the process context, using semantic information from variables to search an ERP system for additional information, and presenting it to users through the interface, thereby enriching the user experience and improving task efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional searching methods are used to obtain external resources, then users can access general information, but the information is not tailored to the specific business context and requires additional time for searching and filtering
Solution Approach 1:
The system performs preliminary actions by automatically identifying and presenting context-relevant information and suggested actions before the user needs to search for them. The interface enrichment module proactively analyzes the business process context and populates the user interface with relevant data, eliminating the need for users to perform external searches.
Solution Approach 2:
The interface enrichment module acts as an intermediary between the business process execution and the user. It translates business process context into user-friendly presentations, automatically identifying relevant information and suggesting appropriate actions, thereby mediating between the complex backend processes and the user's information needs.
2Ease of operation
If the user interface provides only basic data fields and text, then the interface is simple, but it does not provide guidance or suggestions to help users complete tasks effectively
Solution Approach 1:
The system applies local quality by enriching specific portions of the user interface with context-relevant information and suggested actions, rather than uniformly complicating the entire interface. The interface enrichment module selectively adds elements based on the business process context, providing guidance exactly where and when it is needed without overwhelming the user with unnecessary information.
Solution Approach 2:
The interface enrichment module enables self-service by automatically analyzing the business process context and generating relevant information and suggestions without requiring user intervention. The system serves itself by autonomously identifying what information is relevant and presenting it in an organized manner, reducing the cognitive load on users.
3Productivity
If ad hoc business applications are used for specific environments, then they can be quickly implemented, but the information needed for tasks is not readily accessible through typical searching methods
Solution Approach 1:
The interface enrichment module provides universality by serving multiple functions: it analyzes business process context, identifies relevant information, generates suggestions, and enriches the user interface. This multi-functional approach allows the system to handle diverse business processes and information needs through a single integrated mechanism, improving productivity across different contexts.
Data Source
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AI summary
The present disclosure involves systems, software, and computer implemented methods for providing context-based user interfaces, searches, and navigation in business processes. One process includes operations for identifying a data field on an electronic page to be populated by a user for a business process and a data object associated with the business process. A particular data object field in the data object is selected for additional searching, and a suggested entry for populating the data field is determined based on a search for additional information associated with the business process using the particular data object field and a particular type of the data object.