Editing Typing (section)

===Hybrid===
There are many idiosyncratic typing styles in between novice-style "hunt and peck" and touch typing. For example, many "hunt and peck" typists have the [[keyboard layout]] memorized and are able to type while focusing their gaze on the screen. Some use just two fingers, while others use 3–6 fingers. Some use their fingers very consistently, with the same finger being used to type the same character every time, while others vary the way they use their fingers.

One study examining 30 subjects, of varying different styles and expertise, has found minimal difference in typing speed between touch typists and self-taught hybrid typists.<ref>{{cite web|url=http://phys.org/news/2016-02-ten-fingers-fast.html|title=Ten fingers not needed for fast typing, study shows|website=phys.org|access-date=2016-02-13|archive-date=2016-02-13|archive-url=https://web.archive.org/web/20160213144457/http://phys.org/news/2016-02-ten-fingers-fast.html|url-status=live}}</ref> According to the study, "The number of fingers does not determine typing speed... People using self-taught typing strategies were found to be as fast as trained typists... instead of the number of fingers, there are other factors that predict typing speed... fast typists... keep their hands fixed on one position, instead of moving them over the keyboard, and more consistently use the same finger to type a certain letter." To quote Prof. Dr. Anna Feit: "We were surprised to observe that people who took a typing course, performed at similar average speed and accuracy, as those that taught typing to themselves and only used 6 fingers on average."<ref>{{Cite book |last1=Feit |first1=Anna Maria |last2=Weir |first2=Daryl |last3=Oulasvirta |first3=Antti |chapter=How We Type: Movement Strategies and Performance in Everyday Typing |date=2016-05-07 |title=Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems |chapter-url=https://dl.acm.org/doi/10.1145/2858036.2858233 |series=CHI '16 |location=New York, NY, USA |publisher=Association for Computing Machinery |pages=4262–4273 |doi=10.1145/2858036.2858233 |isbn=978-1-4503-3362-7 |access-date=2023-12-13 |archive-date=2023-12-13 |archive-url=https://web.archive.org/web/20231213175117/https://dl.acm.org/doi/10.1145/2858036.2858233 |url-status=live }}</ref>