Slow down to avoid them and you will be faster in the long run.

Pay attention to errors, as errors are costly to correct.

A few simple exercises can help you to improve your own typing technique.' She suggests the following practices: Such information can be useful for example for spell checkers, or to create new personalised training programmes for typing.Īnna Feit says: 'You do not need to change to the touch typing system if you want to learn to type faster. It is now possible for a computer to classify users' typing behavior simply based on the observed keystroke timings which does not require to store the text that users have typed. For example, they could classify some users as ''careless typists'' who move fingers quickly but have to correct many mistakes, and others as attentive error-free typists, who gain speed by moving hands and fingers in parallel, pressing the next key already before the first one is released. This is in line with previous research suggesting that users on the one hand develop their own efficient techniques and on the other forget the 'pure' touch typing system.Īnalyzing the individual keypresses, the researchers found that users exhibit different typing styles, characterized by how they use their hands and fingers, the use of rollover, tapping speeds, and typing accuracy. It was found that users who took a typing course in the past actually showed a very similar typing behavior as those who never took such a course, how fast they type, how they use their hands and the errors they make - even though they use less fingers.

Users who took the typing test also provided their demographic information and answered questions about their typing experience. 'Many informal tests allow users to practice the sentences, allowing unrealistically high performance.' 'The fastest users in our study typed 120 words per minute, which is amazing given that this is a controlled study with randomized phrases,' tells Prof. Average users in this study typed 52 words per minute, much less than the professionally trained typists studied in the 70's and 80's who typically reached 60-90 words per minute. The large dataset allows to infer reliable statistics about the typing performance of modern computer users. This is partially explaining why self-taught typing techniques using less than ten fingers can be as fast as the touch typing system, which was probably not the case in the typewriter era.' Anna Feit explains: 'Modern keyboards allow typing keys with different fingers of the same hand with much less force than what was possible with typewriters. Also, modern users use their hands differently. People presently make different types of mistakes: more errors where a letter is replaced by another one, whereas in the typewriter era they often added characters or omitted one. Most of our knowledge of how people type is based on studies from the typewriter era. The results of the study change our understanding of typing performance. 'An important goal for typing is to learn not to look at fingers.'

'This strategy is only possible for highly practiced letter combinations and when performance does not rely on visual attention,' says Anna Feit. This strategy was surprisingly prevalent, with fast users typing 40-70% of keystrokes using rollover, irrespective of whether they touch type or not.

Here, the next key is pressed down before the previous finger has lifted up. However, the study also discovered a new practice in fast typing called rollover typing, which is well-known among pro gamers but has not been observed during everyday typing. This is particularly detrimental for their performance.' says Anna Feit, a doctoral student at Aalto University. Slower typists make more errors and require a long time to identify and correct them. 'Correct motor execution is the key to fast typing. Not surprisingly, the data confirmed faster typists generally make less mistakes. The data sheds new light on present-day typing performance. 'Ethical large-scale crowdsourcing experiments that allow us to analyse how people interact with computers on a large scale are instrumental for identifying solution principles for the design of next-generation user interfaces,' says Dr Per Ola Kristensson, University Reader (Associate Professor) in Interactive Systems Engineering at the University of Cambridge.

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