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System usability scale

System usability scale 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 System usability scale rather than just read about it. In short: In systems engineering, the system usability scale (SUS) is a simple, ten-item attitude Likert scale giving a global view of subjective assessments of usability. It was developed by John Brooke at Digital Equipment Corporation in the UK in 1986 as a tool to be used in usability engineering of electronic office systems.

Key takeaways

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

Reference excerpt

In systems engineering, the system usability scale (SUS) is a simple, ten-item attitude Likert scale giving a global view of subjective assessments of usability. It was developed by John Brooke at Digital Equipment Corporation in the UK in 1986 as a tool to be used in usability engineering of electronic office systems. The usability of a system, as defined by the ISO standard ISO 9241 Part 11, can be measured only by taking into account the context of use of the system—i.e., who is using the system, what they are using it for, and the environment in which they are using it. Furthermore, measurements of usability have several different aspects:

effectiveness (can users successfully achieve their objectives) efficiency (how much effort and resources are expended in achieving those objectives) satisfaction (was the experience satisfactory) Measures of effectiveness and efficiency are also context-specific. Effectiveness in using a system for controlling a continuous industrial process would generally be measured in very different terms to, say, effectiveness in using a text editor. Thus, it can be difficult, if not impossible, to answer the question "is system A more usable than system B", because the measures of effectiveness and efficiency may be very different. However, it can be argued that given a sufficiently high-level definition of subjective assessments of usability, comparisons can be made between systems. The final SUS score can be computed with the following formula: S U S = 2.5 ( 20 + ∑ ( SUS01 , SUS03 , SUS05 , SUS07 , SUS09 ) − ∑ ( SUS02 , SUS04 , SUS06 , SUS08 , SUS10 ) ) {\displaystyle SUS=2.5\left(20+\sum ({\text{SUS01}},{\text{SUS03}},{\text{SUS05}},{\text{SUS07}},{\text{SUS09}})-\sum ({\text{SUS02}},{\text{SUS04}},{\text{SUS06}},{\text{SUS08}},{\text{SUS10}})\right)}

SUS has generally been seen as providing this type of high-level subjective view of usability and is thus often used in carrying out comparisons of usability between systems. Because it yields a single score on a scale of 0–100, it can be used to compare even systems that are outwardly dissimilar. This one-dimensional aspect of the SUS is both a benefit and a drawback because the questionnaire is necessarily quite general. Recently, Lewis and Sauro suggested a two-factor orthogonal structure, which practitioners may use to score the SUS on independent Usability and Learnability dimensions. At the same time, Borsci, Federici and Lauriola by an independent analysis confirm the two factors structure of SUS, also showing that those factors (Usability and Learnability) are correlated. The SUS has been widely used in the evaluation of a range of systems. Bangor, Kortum and Miller have used the scale extensively over a ten-year period and have produced normative data that allow SUS ratings to be positioned relative to other systems. They propose an extension to SUS to provide an adjective rating that correlates with a given score. Based on a review of hundreds of usability studies, Sauro and Lewis proposed a curved grading scale for mean SUS scores.

References

Further reading Tullis, T.S.; Stetson, J.N. (2004). "A Comparison of Questionnaires for Assessing Website Usability" (PDF). Usability Professional Association Conference. Archived from the original (PDF) on 10 March 2005. Sauro, Jeff (2011). "Measuring Usability with the System Usability Scale (SUS)". Retrieved 18 January 2023. Brooke, John (February 2013). "SUS: A Retrospective". Journal of Usability Studies. 8 (2).

External links System Usability Scale (SUS) Analysis Toolkit System Usability Scale (SUS) Score Calculator

Worked examples

Example 1 — a first encounter with System usability scale

Start with the simplest possible case. Write down what System usability scale 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 System usability scale 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 System usability scale 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 System usability scale

In research
System usability scale 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 System usability scale 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
System usability scale is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computer-related introductions in 1986, Human–computer interaction, Qualitative research, so understanding it makes those chapters shorter.
In everyday life
Look for System usability scale 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 System usability scale in 20 minutes

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

Frequently asked questions

What is System usability scale in simple terms?

In systems engineering, the system usability scale (SUS) is a simple, ten-item attitude Likert scale giving a global view of subjective assessments of usability. It was developed by John Brooke at Digital Equipment Corporation in the UK in 1986 as a tool to be used in usability engineering of elect…

Why does System usability scale 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 System usability scale?

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 System usability scale.

Tags

  • Computer-related introductions in 1986
  • Human–computer interaction
  • Qualitative research
  • Survey methodology
  • Systems engineering
  • Usability
  • User interfaces

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