Dear Anna Maria Feit, I am reading your paper How we Type. I’m a member of the Neo-Layout community¹ and working on algorithmic optimizations of keyboard layouts. For this we try to identify cost factors while typing — what kinds of movements are problematic for typists — and use them to optimize the keyboard layout to reduce strain on the hand.
I thought that (a) this might interest you, and (b) your data might provide part² of the information we need to improve the optimizer. Our current results are documented in the readme³ and the configuration file⁴ of one of our optimization programs. Can you provide access to your timing data in a way which allows us to derive cost factors from it? Best wishes, Arne ¹: http://neo-layout.org ²: I assume that this will only provide part of the information, because your data is gathered from people who trained to use the movements in the QWERTY layout. However your result that the language does not matter so much hints at much easier application of the data. ³: README, partially in german: https://bitbucket.org/ArneBab/evolve-keyboard-layout/src/81700c3d2765b6ae0f25164a3e53483340d3b956/README ⁴: config file describing the cost factors. The implementation is in a separate code file⁵: https://bitbucket.org/ArneBab/evolve-keyboard-layout/src/81700c3d2765b6ae0f25164a3e53483340d3b956/config.py ⁵: Implementation of the cost factors: https://bitbucket.org/ArneBab/evolve-keyboard-layout/src/81700c3d2765b6ae0f25164a3e53483340d3b956/layout_cost.py -- Unpolitisch sein heißt politisch sein ohne es zu merken
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