Biography
Ellen Bass has over thirty years of human-centered systems engineering research and design experience in air transportation, healthcare, meteorology and other domains. The focus of her research is to develop theories of human performance, quantitative modeling methodologies, and associated experimental designs that can be used to evaluate human-automation interaction and human-human collaboration in the context of total system performance. The outcomes of the research can be used in the systems engineering process: to inform system requirements, procedures, display designs and training interventions and to support system evaluation.
Dr. Bass's research contributions can be decomposed into four synergistic areas:
- Characterizing human judgment and decision making
- Modeling human judgment when supported by information automation
- Computational models of human-human and human-automation interaction
- These computational models are instantiated via mathematical formulations, simulation, and formal verification methods
- Design and evaluation of interventions to improve human judgment and decision making
Research Areas
- AI, Machine Learning, and Robotics
- Human-Centered Computing
- STEAM Education
Research Interests
Human-centered design, human-computer interaction, human factors, human performance modeling , judgment and decision making, medical informatics, systems engineering
Academic Distinctions
- PhD, Systems Engineering, Georgia Institute of Technology
- MS, Advanced Technology, State University of New York at Binghamton
- BS Eng., Bioengineering, University of Pennsylvania
- BS Econ., Finance, University of Pennsylvania