The Binary-Based Model (BBM) for Improved Human Factors Method Selection.

ABSTRACT:

Objective

This paper presents the Binary-Based Model (BBM), a new approach to Human Factors (HF) method selection. The BBM helps practitioners select the most appropriate HF methodology in relation to the complexity within the target system.

Background

There are over 200 HF methods available to the practitioner and little guidance to help choose between them.

Method

The BBM defines a HF "problem space" comprising three complexity attributes. HF problems can be rated against these attributes and located in the "problem space." In addition, a similar HF "approach space" in which 66 predictive methods are rated according to their ability to confront those attributes is defined. These spaces are combined into a "utility space" in which problems and methods coexist. In the

SUBMITTER: Holman M 

PROVIDER: S-EPMC8593309 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature