Recording Human Operator Data in Cyber Environments: User Activity Tracker (UAT)
Abstract
To conduct evaluations of individual and team operations in computing environments, sensors are need in appropriate places to collect data and provide it to researchers, experimenters, exercise leadership, and/or team leaders for analysis. Specifically, assessment of human performance requires data from the actions and behaviors of human operators in these settings, such as data from keyboard and mouse use and graphical-user-interface interactions including program launch, window manipulation, application focus, and commands executed. In addition to collecting this data, there is a need for a defined and known logging format to enable the creation and use of tools and interfaces that are capable of rapid parsing and visualizations of the data. In this report, we describe the User Activity Tracker (UAT) and the UAT Live tools. The former is a configurable tool for capturing humancomputer-interaction data at the system level and capturing it in log files that can be preserved and analyzed both in real time and after the fact; the latter is a tool that capitalizes on UATs logging format to provide automated analysis and data visualization.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2020
- Accession Number
- AD1119296
Entities
People
- Alex Poylisher
- Blaine E. Hoffman
- Matthew Witkowski
- Norbou Buchler
- Vladislav D. Veksler