science

Peter Hancock (professor)

Peter Hancock (professor) is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Peter Hancock (professor) rather than just read about it. In short: Peter Adrian Hancock (born March 9, 1953) is a British-American scientist of human factors and ergonomics, author, and expert witness. He is a Provost Distinguished Research Professor in the Department of Psychology and the Institute for Simulation and Training, as well as the Department of Civil and Environmental Engineering and the Department of Industrial Engineering and Management Systems at the University of Ce…

Key takeaways

Peter Hancock (professor) belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Peter Hancock (professor) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Peter Hancock (professor) from memory before moving on to harder problems.

Reference excerpt

Peter Adrian Hancock (born March 9, 1953) is a British-American scientist of human factors and ergonomics, author, and expert witness. He is a Provost Distinguished Research Professor in the Department of Psychology and the Institute for Simulation and Training, as well as the Department of Civil and Environmental Engineering and the Department of Industrial Engineering and Management Systems at the University of Central Florida. He is the research director of the Minds in Technology−Machines in Thought research laboratory at the University of Central Florida.

Life Hancock studied human anatomy and biology at Loughborough University in the United Kingdom. In 1983, he received a Ph.D. in human performance from the University of Illinois at Urbana–Champaign, and was subsequently awarded a Doctor of Science degree in human-machine systems by Loughborough U. in 2001. Prior to his appointment at the University of Central Florida, he worked as an assistant professor at the University of Southern California, a research scientist at the National Institute for Occupational Safety and Health, an associate professor (promoted to full professor in 1996) at the University of Minnesota, as a research affiliate for the University of Hawaii at Manoa, as deputy director for the Liberty Mutual Research Center for Safety/Health, a research affiliate for the Massachusetts Institute of Technology, and a visiting professor at the Ben-Gurion University of the Negev.

Awards and honours Early Career Distinguished Scholar, North American Society for the Psychology of Sport and Physical Activity (1987) Best Ergonomics in Design Article Award, Human Factors Society (1994) Sir Frederic Bartlett Medal, The Chartered Institute of Ergonomics and Human Factors (2000) Franklin V. Taylor Award, American Psychological Association (2001) Liberty Mutual Prize in Occupational Safety and Ergonomics, International Ergonomics Association (2001) Jerome H. Ely Award, Human Factors and Ergonomics Society (2001) Medal of WB Jastrzębowski, Polish Ergonomics Society (2002) Liberty Mutual Medal in Occupational Safety and Ergonomics, International Ergonomics Association (2003) Jack A. Kraft Innovator Award, Human Factors and Ergonomics Society (2005) Norbert Wiener Award, Institute of Electrical and Electronics Engineers (2006) A.R. Lauer Safety Award, Human Factors and Ergonomics Society (2007) Otto Edholm Award, The Chartered Institute of Ergonomics and Human Factors (2008) Raymond F. Longacre Award, Aerospace Medical Association (2008) Paul M. Fitts Education Award, Human Factors and Ergonomics Society (2008) Andrew P. Sage Award, Institute of Electrical and Electronics Engineers (2008) Henry L. Taylor Award, Aerospace Medical Association (2011) Admiral Leland S. Kollmorgen Spirit of Innovation Award, Human Factors and Ergonomics Society Augmented Cognition Technical Group (2011) Oliver Keith Hansen Outreach Award, Human Factors and Ergonomics Society (2012) Alexander C. Williams, Jr., Design Award, Human Factors and Ergonomics Society (2013) Charles S. Gersoni Military Psychology Award, American Psychological Association William Floyd Award, The Chartered Institute of Ergonomics and Human Factors (2015) IEA Ergonomics Development Award, International Ergonomics Association (2015) IEA/Elsevier John Wilson Award for Applied Ergonomics, International Ergonomics Association (Inaugural Award, Co-Winner; 2015) Sidney D. Leverett Jr. Environmental Science Award, Aerospace Medical Association (2016) Human Factors Prize Award Winner (with B.D. Sawyer), Human Factors and Ergonomics Society (2017) IEA Outstanding Educators Award, International Ergonomics Association (2018)

Works Mind, Machine, and Morality (1st ed. 2009). ISBN 0-754-67358-8. (Nominated for the William James Award of the American Psychological Association and for the Ursula Gielen Book Award). Richard III and the Murder in the Tower (1st ed. 2009, paperback 2011). ISBN 0-752-45797-7. (Nominated for the Crime Writers Association Gold Dagger Award for Non-Fiction). Cognitive Differences in the Ways Men and Women Perceive the Dimensions and duration of Time: Contrasting Gaia and Chronos (1st ed. 2011). ISBN 0-773-41497-5. Hoax Springs Eternal: Thy Psychology of Cognitive Deception (1st ed. 2014). ISBN 1-107-41768-6

References

Illustrations

Worked examples

Example 1 — a first encounter with Peter Hancock (professor)

Start with the simplest possible case. Write down what Peter Hancock (professor) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Peter Hancock (professor) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Peter Hancock (professor) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Peter Hancock (professor)

In research: Peter Hancock (professor) appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Peter Hancock (professor) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Peter Hancock (professor) is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1953 births, British scientists, British writers, so understanding it makes those chapters shorter.
In everyday life: Look for Peter Hancock (professor) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Peter Hancock (professor) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Peter Hancock (professor) means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Peter Hancock (professor) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Peter Hancock (professor) in simple terms?

Why does Peter Hancock (professor) matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Peter Hancock (professor)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Peter Hancock (professor).