What past and current knowledge elicitation methods are appropriate for a decision process in a network defense environment?
James Nutter
People Process Group
jamesnutter@peopleprocessgroup.com
Background
Building a knowledge elicitation reservoir about how people work and filtering the water to discover the composition of it is an art form as well as a science. This review is going to explore various knowledge elicitation resources for approaching how to extract work processes from workers in a network defense environment. Some (KE) approaches are better suited for this particular environment and a brief rationale for this is stated. Two recommended (KE) approaches exploring an argument made for implementation into a network defense environment included in paper.
Knowledge elicitation (KE) is an indispensable resource for investigating and capturing a composition of why people are doing a particular job or activity. The how part of people’s activities is also explored in (KE) activities but the focal point is the why. Diving into intangible work elements (e.g; actions, thoughts, feeling, and motivations.) is the umbilicord to sustaining a link to people continuing to use a product or service. Continue to feed these elements with the proper ingredients and you have a customer for life.
Formulating a (KE) model that is looking at these intangible work elements and integrating this with current visual software (e.g; SecureScope, ViAssist, MeerCat and The Network Visualizer.) will transform these software products into an efficient, effective, usable product in which people enjoy using.
Because of these intangible work elements, assimilating their value and placing that into a model that can deliver purpose and meaning to a target audience is an ongoing hurdle. This literature review will explore authors that practice traditional (KE) approaches and authors that practice a more tailored to the times approach.
I will use the term traditionally to describe the subject matter below because these are methods which are common among the literature and are frequently used in the (KE) field.