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> The problem your encountering is downstream from point 1. Basically your keyboard thinks due to the way most people construct a particular sentence, you're gonna want to type "bold" next, despite "hold" clearly clearly making more sense. So it'll force "b" on you 4 times in a row until it realizes you really want to type "h". In the video, the user is typing 'Thumbs up', and when they get to the first 'u' the keyboard shows a 'u' being pressed but a 'j' is inserted instead. Are you suggesting that, due to the way most people construct sentences, the OS thinks that 'thjmbs' is the most likely word? And then the next time the OS thinks that 'thhmbs' is the most likely word? Both of the issues you've mentioned are common, and irritating, but if you watch the video you can see that that's not what's happening here. Before any autocorrection or adjustment is being done, the keyboard is registering a 'U' and the OS is inputting a J or H or I or some other nearby letter. The video also debunks the touchmap discontinuity issues as well, because you can clearly see which key the keyboard is registering; it's not assuming that you meant to press J or it would highlight the J; it's registering a U, highlighting U, and inputting J. It sounds to me as though you didn't watch the video and just assumed what issue was being discussed; please do watch it, because this is another, relatively new, issue that lots of people have seen and which is far worse and more frustrating than the other legitimate issues you mentioned. |
Apple additionally may have just bugged up their implementation as well, but the above mentioned issues exist even on Android, and didn't a decade ago.
I still contend that the single best touchscreen keyboard and autocorrect implementation was the onscreen keyboard on the Microsoft Zune HD. A tiny tiny screen, and you could still type without looking and nearly always end up with the right text. It was magical, and creepy in retrospect.
But nobody bought it so we had less good keyboards for a decade. Then companies insisted that they could throw "Algorithms" at the problem (which is what we had been doing for a decade but whatever) and make it magically better and now everyone gets worthless autocorrect because of the everpresent "Nobody is actually average so tuning your system to the average makes it bad for everybody" problem that has infected literally all "Data driven" product decisions.
We literally had better text prediction using boring methods. We literally had working voice control on flip phones from the 90s. All on device too.