Industrial

Preventing Crashes Through Knowledge

Project Overview

Preventing crashes needs informed understanding of previous incidents to understand what happened, why, and how to use information to prevent incidents reoccurring. This project considered issues surrounding databases in general terms and the clients specific database and why they might not give good information on which to make decisions about resources and spend.  The database was considered using psychological research in order to inform how humans make decisions, reason and problem solve, how we interpret data and the influence of biases. Form fields within the database and their presentation and requirements were also considered, as was the collection of accurate causation rather than phenomena of incidents. Immediate, medium and long term recommendations were made.

Technology Interfaces

The difference between end users, experts and product perception

Project Overview

Clients of  highly advanced milling equipment were concerned that some users seemed unable to fully understand and interpret the machines Graphical User Interface (GUI) to deliver best results for the sorting of their product.  The users were located worldwide and highly varied in experience in the product, the use of GUI’s and in educational background.  Differences in understanding the GUI’s and the information presented between a highly trained engineer, versus the user who may not have much experience of the machine or GUI interfaces were uncovered. This meant that the way the GUI presented information (from levels of information presented, colour, icons, meaning) was reviewed to alter understanding and perception of product and address the needs of a highly diverse user group.