Wetin be average typing speed for smartphone?

Dem report the overall values for the results and Table 3; the age values dey Table 4. Average age for the sample na 24.1 years, and dem recruit people online. Younger volunteers and people wey don sabi type English well plenty for the sample, so no use the table call every person for one age group slow or fast. Palin et al., 2019

Phone dey always slower pass keyboard?

The authors compare their mobile results with one big desktop study wey use related method. Average for the desktop study na 51.56 WPM. E give useful background, but dem no randomly test every participant with both devices. If you subtract the averages, e no show how much faster you personally go type if you change device. Palin et al., 2019 Dhakal et al., 2018

People use different ways for everyday typing too. Research wey record hand movement show say people wey learn physical keyboard by themselves fit do well without following one fixed finger pattern. Mobile typing add touchscreen targeting and help features, so the desktop ten-finger rule no be correct way to measure phone typing. Feit et al., 2016 MacKenzie and Soukoreff, 2002

Wetin the error percentage mean?

The 2.34% value na errors wey still remain for the typed-out text, according to the study measurement. E no mean say na that share of all touches be wrong, because dem correct some errors. How researchers measure text entry dey separate final errors from the effort to correct them, and you no suppose hide either one by reporting speed alone. Soukoreff et al., 2003 Soukoreff et al., 2001

Age, sex and language results need context

For the whole mobile sample, average for women and men na 36.0 and 36.1 WPM, respectively, even though the large dataset show statistical difference. The practical difference between those averages for the full sample small well-well. The U.S. subgroup show another pattern, to show why whether one result get statistical significance and whether e fit apply to other people na two different questions. Palin et al., 2019

People wey use English as their first language average 37.8 WPM for the same table. This connection no prove say changing your phone language setting go cause one particular improvement. The task need people to type out English, and how familiar dem be with the language fit affect how dem read and type the text wey dem give them. Palin et al., 2019 Salthouse, 1986

Autocorrect and word prediction dey help?

For this dataset, people wey use autocorrect tend to type faster, but people wey choose predicted words tend to type slower. The study only observe people, so these connections no prove say turning on one feature go cause the same improvement for every user. People choose features for different reasons, including their current skill and the kind of errors dem make. Palin et al., 2019

For useful personal comparison, keep keyboard layout, help settings, language and task type the same. Record correctness along with WPM. Chatting, typing one sentence wey you don memorise and typing out unfamiliar text measure different mix of making language and moving your fingers to type. MacKenzie and Soukoreff, 2002 Soukoreff et al., 2003

Practice fit improve how well you do one particular task, but research on everyday typing no give guaranteed plan for phone training. Better goal na to type more correctly and comfortably under the conditions wey you use, and check am with similar material instead of promised percentile or one WPM target wey supposedly apply to everybody. Keith et al., 2007 Feit et al., 2016