ArticleslgStudy

computer science

Stuart Card

Stuart Card is a computer 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 Stuart Card rather than just read about it. In short: Stuart K. Card (born December 21, 1943) is an American researcher and retired senior research fellow at Xerox PARC.

Key takeaways

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

Reference excerpt

Stuart K. Card (born December 21, 1943) is an American researcher and retired senior research fellow at Xerox PARC. He is considered to be one of the pioneers of applying human factors in human–computer interaction. With Jock D. Mackinlay, George G. Robertson and others he invented a number of information visualization techniques. He holds numerous patents in user interfaces and visual analysis.

Biography Card received a B.A. in physics from Oberlin College in 1966. Card completed his Ph.D. in psychology in 1978 under the supervision of Allen Newell at Carnegie Mellon University. His doctoral work brought together experimental psychology, information-processing theory, and the emerging study of human interaction with computers. In his dissertation, Studies in the Psychology of Computer Text Editing Systems, Card treated computer text editing as a rigorous object of scientific analysis, modeling user behavior in terms of goals, operators, methods, and selection rules. This work helped establish the conceptual foundations of modern human-computer interaction and foreshadowed the influential research Card would later carry out at Xerox PARC later in his career. After his Ph.D., he started working as an adjunct faculty member at Stanford University in the late 1960s. Since 1974 he had been working at PARC and was the Area Manager of the User Interface Research group. He retired from PARC in 2010 but has been a consulting professor in Stanford University's Computer Science department. Card received several awards. In 2000 he was awarded the CHI Lifetime Achievement Award from the Association for Computing Machinery's SIGCHI, and became Fellow of the Association for Computing Machinery. In 2001 he was elected to the CHI Academy. In 2007, he was elected a member of the National Academy of Engineering, and was awarded The Franklin Institute's Bower Award and Prize for Achievement in Science. On May 26, 2008, Card was made an Honorary Doctor of Science by Oberlin College.

Work Stuart Card's study of input devices led to the Fitts's law characterization of the computer mouse and was a major factor leading to the mouse's commercial introduction by Xerox, most notably in the Alto and Star projects, some of the very earliest GUI systems employing a desktop metaphor. The 1983 book The Psychology of Human–Computer Interaction, which he co-wrote with Thomas P. Moran and Allen Newell, became seminal work in the HCI field. Further research into the theoretical characterizations of human–machine interaction led to developments including "the Model Human Processor, the GOMS theory of user interaction, information foraging theory, and statistical descriptions of Internet use". In the new millennium his research has been focusing on developing a "supporting science of human–information interaction and visual-semantic prototypes to aid sense making".

Publications Card has written three books and more than 70 papers, and holds 22 patents.

1983. The Psychology of Human-Computer Interaction. With Thomas P. Moran and Allen Newell. 1990. Human Performance Models for Computer-Aided Engineering. Edited with J.I. Elkind, J. Hochberg and B.M. Heuy. San Diego, CA : Academic Press. 1996. IEEE Symposium on Information Visualization ’96 : proceedings, October 28–29, 1996, San Francisco, California. Edited with Stephen G. Eick and Nahum Gershon. Los Alamitos, Calif. : IEEE Computer Society. 1999. Readings in information visualization : using vision to think. With Jock D. Mackinlay and Ben Shneiderman.

References

External links Stuart Card at PARC. SIGCHI Awards Oral history interview with Stuart Card (2020). Charles Babbage Institute. Retrieved from the University of Minnesota Digital Conservancy.

Worked examples

Example 1 — a first encounter with Stuart Card

Start with the simplest possible case. Write down what Stuart Card claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Stuart Card 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 Stuart Card 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 Stuart Card

In research
Stuart Card appears in computer 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 Stuart Card 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
Stuart Card is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1943 births, Data and information visualization experts, Fellows of the Association for Computing Machinery, so understanding it makes those chapters shorter.
In everyday life
Look for Stuart Card 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.

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Stuart Card in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Stuart Card means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Stuart Card out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Stuart Card in simple terms?

Stuart K. Card (born December 21, 1943) is an American researcher and retired senior research fellow at Xerox PARC.

Why does Stuart Card matter?

Because it connects several computer 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 Stuart Card?

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 Stuart Card.

Tags

  • 1943 births
  • Data and information visualization experts
  • Fellows of the Association for Computing Machinery
  • Human–computer interaction researchers
  • Living people
  • Members of the United States National Academy of Engineering
  • Scientists at PARC (company)
  • The Benjamin Franklin Medal in Computer and Cognitive Science laureates

Keep exploring