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Karon MacLean

Karon MacLean 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 Karon MacLean rather than just read about it. In short: Karon E. MacLean is a computer scientist and mechanical engineer whose research involves haptic technology and affective haptics in human–computer interaction and human–robot interaction.

Key takeaways

  • Karon MacLean 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 Karon MacLean to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Karon MacLean from memory before moving on to harder problems.

Reference excerpt

Karon E. MacLean is a computer scientist and mechanical engineer whose research involves haptic technology and affective haptics in human–computer interaction and human–robot interaction. Educated in the US, she works in Canada as a professor of computer science and Canada Research Chair in Interactive Human Systems Design at the University of British Columbia.

Education and career MacLean was an undergraduate at Stanford University, where she graduated in 1986 with a double major in biological sciences and mechanical engineering. She earned a master's degree in mechanical engineering at to the Massachusetts Institute of Technology (MIT) in 1988. After two years working as an engineer at the University of Utah, she returned to MIT for a Ph.D. in mechanical engineering, completed in 1996. She was a researcher for Interval Research Corporation from 1996 to 2000. In 2000, she became an assistant professor at the University of British Columbia (UBC); she has been a full professor there since 2010. At UBC, she is the co-founder and director of the Designing for People (DFP) Research Cluster, director of the Sensory Perception and Interaction Research Group, and associate director of the Institute for Computing, Information and Cognitive Systems.

Recognition MacLean was given a tier 1 Canada Research Chair in Interactive Human Systems Design by the Natural Sciences and Engineering Research Council in 2021. She was elected as an IEEE Fellow, in the 2023 class of fellows, "for contributions to the design of haptic communication", and is a Distinguished Lecturer of the IEEE Technical Committee for Haptics.

References

External links Home page Karon MacLean publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Karon MacLean

Start with the simplest possible case. Write down what Karon MacLean 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 Karon MacLean 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 Karon MacLean 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 Karon MacLean

In research
Karon MacLean 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 Karon MacLean 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
Karon MacLean is common in secondary-school and first-year university syllabi. It links to neighbouring topics Academic staff of the University of British Columbia, American computer scientists, American mechanical engineers, so understanding it makes those chapters shorter.
In everyday life
Look for Karon MacLean 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 Karon MacLean in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Karon MacLean 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 Karon MacLean out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Karon MacLean in simple terms?

Karon E. MacLean is a computer scientist and mechanical engineer whose research involves haptic technology and affective haptics in human–computer interaction and human–robot interaction.

Why does Karon MacLean 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 Karon MacLean?

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 Karon MacLean.

Tags

  • Academic staff of the University of British Columbia
  • American computer scientists
  • American mechanical engineers
  • American women computer scientists
  • American women engineers
  • Canadian computer scientists
  • Canadian mechanical engineers
  • Canadian women computer scientists
  • Canadian women engineers
  • Fellows of the IEEE
  • Living people
  • Massachusetts Institute of Technology alumni

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