Since 2003, CHPR has provided Human Factors (HF) and systems engineering services. From aerospace to healthcare to road transport, CHPR is helping to develop the tools, procedures and interfaces of the 21st century. With offices in the US and the Netherlands, and strong ties to academia, R&D, and operational domains, CHPR operates as a global network of recognized experts that together offer domain expertise, scientific rigor, and commercial pragmatism.
- Operational concept development
- Systems architecture design
- Automation and interface design, test and evaluation
- Real time simulation and data analysis
- Fast time computer modelling
- Safety case assessment
- Human reliability and workload analysis
- Experimental and survey design
- Expert witness testimony
CHPR uses a variety of cognitive engineering methods and techniques to carry out work in the areas of
- Interface design and evaluation
- Safety assessment including risk analysis, FHA and HAZOP
- Analytic modelling
- Real time simulation
- Workload assessment
- Experimental design, data collection and statistical analysis
- Focus group, interview and survey research
Collecting, analyzing and interpreting human performance data requires a variety of software tools and techniques. CHPR uses a combination of off-the-shelf and self-developed software for:
- Behavioral data logging and analysis
- Task analysis
- Focus group data analysis – including transcription and text analysis
- Non-linear mathematical modelling – via artificial neural networks
- Multi-criteria decision making, using the Analytic Hierarchy Process
- General statistical analysis– descriptive and inferential statistics
Automation and autonomous systems
From road transport to air traffic to consumer products, the interaction between human and machine increasingly relies on advanced automation that can do the “thinking.” Our focus is how to engineer this interaction.
Extending traditional artificial intelligence (AI) methods with learning algorithms can aid machine prediction and classification. How do we ensure that humans understand, trust, and properly use such systems?
Human judgment and decision making
Why do experts sometimes only see what they expect to see, or make predictable diagnostic mistakes? Unpacking the decision making process is increasingly key to understanding how humans and machines will interact in the future.
Designing the transport system of the future
Advances in autonomous and on-demand transport promise a 21st century of self driving cars, flying cars, even passenger-carrying drones. It is critical that the technologies, concepts and procedures underlying such systems consider the strengths and weaknesses of the human-in-the-loop.
Neuro-ergonomics & Bio-cybernetics
Real time physiological measures can help us assess how an operator (be it a surgeon, a pilot, or a gamer) is performing. Such measures can also form the basis for Brain Computer Interfaces (BCIs) that can blur the line between human and machine.