Mobile Touchscreen Typing (Apple, 2007)
Measured by Palin, Feit, Kim, Kristensson & Oulasvirta · ACM MobileHCI 2019 (2019)
Inputs
The measured or assumed values behind the calculations, each with its source.
- rate = 36.2 wpm
- Average typing speed across 37,370 volunteers (27M keystrokes). The system date is the 2007 iPhone full-QWERTY touch keyboard; the throughput is measured in the 2019 mobile typing study.
- P = 0.9766
- 1 − 2.34% average error rate (uncorrected error rate reported in the study)
- H = 1.0 bits/char
- English-text entropy (Shannon).
- N = 30
- Distinguishable keys on the on-screen QWERTY, used only for the raw-key Wolpaw ceiling (uniform prior). The headline Shannon figure uses English entropy instead, since touch keystrokes with autocorrect are far from uniform.
- T_key = 0.3315 s/keystroke
- Gross keystroke interval for the Wolpaw ceiling: 60 / (36.2 wpm × 5) = 0.3315 s. Gross 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
36.2 wpm × (1 − 0.0234) = 35.3 net wpm
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Characters per minute
35.3 × 5 chars/word = 176.7 chars/min
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Information transfer rate
176.7 char/min × 1.0 bit/char ÷ 60 s/min = 2.95 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
- On-screen QWERTY with autocorrect and word prediction in the loop; the study found autocorrect raises entry rates. The language model makes the prior context-conditioned, so this is not a uniform key-selection figure.
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) + 0.9766*log2(0.9766) + 0.0234*log2(0.0234/29) = 4.633 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 = 0.3315 s/selection -> 1 / 0.3315 = 3.017 selections/s
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Information transfer rate
ITR = B * selections/s = 4.633 * 3.017 = 13.976 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(0.9766) − 1 = 0.953 of keys. At 0.3315 s/key → 0.953 / 0.3315 = 2.87 correct/s.
A touch error commits the wrong character rather than timing out, so incorrect = 1 − P. Same N (30 keys), uncorrected accuracy (97.66%) and keystroke interval (0.3315 s) as the entry's raw-key Wolpaw ceiling, and lands on the same ~14 bits/s. Both are the uniform-prior key channel before English redundancy, above the 2.95 bits/s Shannon headline.
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Achieved bitrate
4.86 bits × 2.87 correct/s = 14.0 bits/s.
Source
- Authors
- Palin, Feit, Kim, Kristensson & Oulasvirta
- Publication
- ACM MobileHCI 2019, 2019
- Paper
- 10.1145/3338286.3340120