Expertise in Human Factors, Ergonomics, Human Performance, and Human Learning

Research and consulting in human performance

Human Performance Research provides research and consulting in three connected areas: human performance, human factors and ergonomics, and human learning and training. The work draws on Dr. Schmidt's scientific background and experience to examine how people actually perform in everyday settings, how systems are designed around them, and how accidents are analyzed.

Analyses rest on thorough reviews of the published scientific literature, with the aim of explaining scientific evidence clearly to juries, engineers, and other stakeholders. Dr. Schmidt has served as President of Human Performance Research since June 2001 and as Senior Human Factors Consultant for Vector Scientific, Inc. since January 2009.

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Human performance research begins with a simple but demanding question: how do people actually behave when they are working, driving, learning, or operating equipment in the real world? The answers rarely match the tidy assumptions built into instructions, interfaces, and training programs. Studying performance means observing the gap between what designers expect and what users do, then explaining why that gap exists. This perspective treats human capability and human limitation as equally important facts to be understood rather than problems to be corrected. The aim is practical knowledge that helps systems fit people, not the other way around.

Human factors and ergonomics sit at the meeting point of psychology, engineering, and design. The field asks how tools, vehicles, workplaces, and consumer products can be shaped around the way people perceive, decide, and act. Good design accounts for attention that wanders, memory that fades, and bodies with finite reach and strength. Poor design assumes an idealized operator who never tires and never misreads a label. Ergonomics is often mistaken for comfort alone, but its deeper concern is safety and effectiveness under realistic conditions, including stress, time pressure, and unfamiliar situations that push human limits into view.

Perception and reaction are foundational topics in this work. People do not simply see what is there; they interpret scenes shaped by expectation, contrast, lighting, and clutter. Night vision, eye movements, and the detection of warnings all depend on conditions that vary widely from the laboratory to the road. Reaction time is similarly variable, influenced by readiness, complexity of the choice required, and the demands competing for attention at that moment. Understanding these mechanisms helps explain why some warnings are noticed and acted upon while others pass unseen, and why labeling and instruction design deserve careful thought.

Attention and distraction have become central concerns as devices multiply inside vehicles, workplaces, and everyday life. A person has a limited supply of attention, and every added task draws from that same supply. Cell phone use, complicated controls, and dense displays compete with the primary task of driving or operating machinery. The result is not merely slower responses but missed cues and narrowed awareness of the surroundings. Research in this area examines how tasks interfere with one another, how training and interface design can reduce that interference, and how people misjudge their own capacity to divide attention safely.

The range of settings studied is deliberately broad, because human performance problems share underlying structure across very different contexts. Automobiles, trucks, motorcycles, bicycles, and all-terrain vehicles each present their own control and visibility challenges. Trains, ships, and boats add long duty periods and complex coordination among operators. Workplace machinery brings its own hazards, while consumer products test how easily ordinary users can interpret labels, warnings, and instructions. Across all of these, the recurring questions concern controls, displays, error, and the fit between operator behavior and the demands of the task.

Human learning and training form the third pillar of this work, and they connect closely to performance. Skills are not acquired in a single exposure; they develop through practice, feedback, and the gradual reorganization of movement and decision strategies. Effective training respects how learners actually improve, including plateaus, forgetting, and the difference between performing well during practice and retaining skill afterward. Instruction that ignores these patterns can produce confident trainees who cannot transfer what they learned to a new situation. Understanding learning scientifically supports training programs that build durable competence rather than temporary fluency.

Error is a recurring theme because it reveals how systems fail when human limits are exceeded. Many accidents attributed to carelessness are better understood as predictable outcomes of design choices, workload, or ambiguous information. Panic, inattention, and misread signals often emerge from conditions that could have been anticipated. Studying error is therefore not about assigning blame but about identifying where interfaces, procedures, and environments invite mistakes. This view supports a constructive approach in which the analysis of what went wrong feeds directly into better warnings, clearer controls, and more forgiving designs for vehicles, machines, and consumer products alike.

The broader purpose of this research and consulting is to translate scientific understanding into practical guidance for organizations that build and operate complex systems. Manufacturers, automakers, and others benefit from evidence about how people perceive, learn, and respond under real conditions. The work draws on published research, careful observation, and experience across many domains to address specific questions of design and safety. Its value lies in connecting rigorous method with the everyday realities of operators and users, so that decisions about technology, training, and interfaces rest on a clearer picture of human capability and its limits.