原文传递
Analysis of Software Design Patterns for Human Cognitive Performance Experiments.
| 题名： | Analysis of Software Design Patterns for Human Cognitive Performance Experiments. |
| 作者： | Roosma, A. C. |
| 关键词： | Software design, Cognition, Human machine systems, Experimental design, Patterns, Standards, Infrastructure, Case studies, Scenarios, Cognitive workload, Automation, Physiological monitoring, Decision making, Data management, Taxonomy, Software design patterns, Software complexity, Hcp (human cognitive performance), Adaptive automation, Human-machine teaming, Data infrastructure software requirements, Central data mediator design patterns, Meta-studies, Requirements gathering, Time-alignment, Hcp experiments, Data streams, Cdm (central data mediator) |
| 摘要： | 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. |
| 报告类型： | 科技报告 |
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