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A method for load- and device-optimized Content Handling in Workflows and Human Interaction Applications Disclosure Number: IPCOM000238029D
Publication Date: 2014-Jul-28
Document File: 5 page(s) / 142K

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The Prior Art Database


A method for load- and device-optimized Content Handling in Workflows and Human Interaction Applications

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A method for load - -

-optimized Content Handling in Workflows and Human

                    optimized Content Handling in Workflows and Human Interaction Applications

Disclosed is a method for load- and device-optimized content handling in workflow applications and human interaction applications.

Workflow systems execute workflows that resemble processes that occur in the business of a company. While large parts of workflows can be automated and interact with other back end systems, at certain points, workflows involve human interaction. Typical workflow system concepts for human interaction are work baskets, task lists, and human activities/tasks. A user claims (takes ownership/responsibility) a task, works the subject and thereby completes the task. While a task typically consists of some input information for the worker, and the work result of the worker, in many cases it will also be accompanied by rich content that gives the worker a better understanding of the piece of work he has to accomplish. Rich content can be any kind of document. This can reach from text documents to pictures, drawings, to audio and video documents.

Current state of the art is that, when a human activity is claimed, a workflow system requests and retrieves the accompanying content from the content management system and passes it on to the claiming end user front end. It does so either by transferring the complete document from the content management system through the workflow system to the end user device (document provisioning by copy) or by passing a URL to the document to the end user device, which then in turn retrieves the entire document from the content management system. The workflow system is largely and the content management system entirely unaware of the nature and circumstances of the end user at that time. The end user might not be able to cope with the date served to him at this point. And the workflow system can get unnecessarily heavy loaded with increasing amounts of data. As such, currently available solutions are ignorant of the fact that different end user devices and different situations and circumstances impose constraints onto the worker of a task. Devices can be limited towards their capabilities to process/display certain file types or media content. The geographic location of a traveling salesman or a field engineer can limit them to slow Internet connectivity or insecure networks. At the same time, big data require new and more intelligent handling in order to not jam existing systems and keep up a good overall performance.

This disclosure outlines a method for load-optimized, end user device-optimized content handling with centralized workflow-dependent data access control in the context of workflows and human interaction applications. Furthermore it outlines a framework in support of the above method, which integrates with existing workflow system and content management system and facilitates more intelligent interaction patterns between...