Analysis of Software Design Patterns for Human Cognitive Performance Experiments
Abstract
We present supporting research to the development of human-machine teaming through software design improvements to the execution of human cognitive performance experiments. This thesis sought to answer the following two research questions addressing the core functionality that these experiments rely on for execution and analysis. 1) What data infrastructure software requirements are necessary to execute the experimental design of human cognitive performance experiments? 2) How effectively does a central data mediator design pattern meet the time-alignment requirements of human cognitive performance studies? To answer these questions, this research contributes an exploration of establishing design patterns to reduce the cost of conducting human cognitive performance studies. The activities included in this exploration were a method for requirements gathering, a meta-study of recent experiments and a design pattern evaluation all focused on the experimental design domain.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 24, 2016
- Accession Number
- AD1053863
Entities
People
- Alexander C Roosma
Organizations
- Air Force Institute of Technology