QWERTY Typing (Sholes & Glidden, 1874)
Measured by Dhakal, Feit, Kristensson & Oulasvirta · ACM CHI 2018 (2018)
Inputs
The measured or assumed values behind the calculations, each with its source.
- rate = 51.56 wpm
- Average across 168,000 participants (136M keystrokes); fastest users ~120 wpm. The system date comes from the Remington/Sholes & Glidden QWERTY typewriter; the throughput is measured in the 2018 web typing study.
- P = 0.9884
- 1 − 1.16% average error rate (2.3 corrections per sentence)
- H = 1.0 bits/char
- English-text entropy (Shannon estimate).
- N = 30
- Distinguishable keys, used only for the raw-key Wolpaw ceiling (uniform prior over the alphabet). The headline Shannon figure instead uses English entropy, since real keystrokes are not uniform.
- T_key = 0.2328 s/keystroke
- Gross keystroke interval for the Wolpaw ceiling: 60 / (51.56 wpm × 5) = 0.2328 s. Gross (not error-discounted) because Wolpaw's accuracy term P handles errors separately.
Strictest ITR
Each scoring method is an upper bound on the channel, so the headline is the strictest (smallest) one for this entry. Use the score selector on the home page to view any single method across entries.
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Net words per minute
51.56 wpm × (1 − 0.0116) = 50.96 net wpm
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Characters per minute
50.96 × 5 chars/word = 254.8 chars/min
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Bits per character
H(English) ≈ 1.0 bit/char (Shannon)
English is highly redundant, so raw keystroke count would overstate information.
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Information transfer rate
254.8 char/min × 1.0 bit/char ÷ 60 s/min = 4.25 bits/s
What counts as a bit depends on the action space. The number of distinguishable actions and how likely each one is are design choices of the task, not the sensing hardware. The same modality can present a fixed set of targets, a set pruned per step by a grammar or language model, or a continuous control space. Each of these changes how many actions are live and how the probability mass is spread, and therefore the information per selection. Read the action space below before comparing headline numbers across entries.
Action space
What the user can produce at each step, and how those options are distributed.
- Structure
- Fixed set of targets
- Size
- 30 distinguishable actions
- Prior
- Context-conditioned: likelihoods depend on prior actions
- Notes
- ~30 keys, but the ITR uses English character entropy (~1 bit/char), a context-conditioned source, rather than the ~5 bits a uniform keystroke would carry. This bakes in the language's redundancy, so it is not directly comparable to the uniform-prior speller figures.
Comparability The strictest bound here is the Shannon entropy of the output text, under one predictor held constant across the whole atlas (≈1 bit per character). That shared predictor makes it directly comparable to every other text entry (keyboards, spellers, silent speech and speech BCIs) regardless of prior or vocabulary size. For most text interfaces it comes out tighter than the raw-selection bounds, but not always. Where a small vocabulary makes Wolpaw tighter, that wins instead. Any Fitts, Wolpaw or log₂(N) figure shown below is another bound on the same channel. Switch the home-page score selector to compare one across entries.
Other bounds considered for the headline
Also valid upper bounds for this entry and eligible to be the headline. They just came out looser than the strictest above. Pick any of these in the home-page score selector.
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Bits per selection (Wolpaw formula)
B = log2(N) + P*log2(P) + (1-P)*log2((1-P)/(N-1)) = log2(30) + 0.9884*log2(0.9884) + 0.0116*log2(0.0116/29) = 4.759 bits / selection
Term 1 is the information if every choice were correct; terms 2-3 subtract the bits lost to the error rate, assumed spread evenly over the other N-1 targets.
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Selections per second
T = 0.2328 s/selection -> 1 / 0.2328 = 4.296 selections/s
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Information transfer rate
ITR = B * selections/s = 4.759 * 4.296 = 20.444 bits/s
Other score types
Bounds the atlas keeps out of the default strictest headline: as-reported figures, alternate task conditions, or raw-channel ceilings that shouldn't win the headline by default. Each still carries a score type, so the home-page selector ranks this entry on it when you choose that type. Read its derivation before comparing across entries.
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Achieved-bitrate credit per net-correct key
N = 30 keys → log2(N − 1) = log2(29) = 4.86 bits per net-correct selection (field-standard achieved bitrate, e.g. Webgrid; Nuyujukian 2015, which introduced the metric, used log2(N)).
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Net-correct key rate
net-correct = 2P − 1 = 2(0.9884) − 1 = 0.977 of keys. At 0.2328 s/key → 0.977 / 0.2328 = 4.20 correct/s.
A typing error commits the wrong character rather than timing out, so incorrect = 1 − P. Same N (30 keys), accuracy (98.84%) and keystroke interval (0.2328 s) as the entry's raw-key Wolpaw ceiling, and lands on the same ~20 bits/s. Both are the uniform-prior key channel before English redundancy, far above the 4.25 bits/s Shannon headline that holds this entry to the realized text.
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Achieved bitrate
4.86 bits × 4.20 correct/s = 20.4 bits/s.
Source
- Authors
- Dhakal, Feit, Kristensson & Oulasvirta
- Publication
- ACM CHI 2018, 2018
- Paper
- 10.1145/3173574.3174220