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Dataset Open Access

How We Type: Movement Strategies and Performance in Everyday Typing

Feit, Anna Maria; Weir, Daryl; Oulasvirta, Antti


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4034268", 
  "language": "eng", 
  "title": "How We Type: Movement Strategies and Performance in Everyday Typing", 
  "issued": {
    "date-parts": [
      [
        2016, 
        5, 
        5
      ]
    ]
  }, 
  "abstract": "<p>Tihs dataset contains motion capture, keylog, eye tracking, and video data of 30 participants, transcribing regular sentences. It is part of the following publication:</p>\n\n<p>Anna Maria Feit, Daryl Weir, Antti Oulasvirta. 2016.How We Type: Movement Strategies and Performance in Everyday Typing.In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI &#39;16). ACM, New York, NY, USA, 4262-4273</p>\n\n<p>The paper revisits the present understanding of typing, which originates mostly from studies of trained typists using the tenfinger touch typing system. Our goal was&nbsp;to characterise the majority of present-day users who are untrained and employ diverse, self-taught techniques. In a transcription task, we compared self-taught typists and those that took a touch typing course. We reported several differences in performance, gaze deployment and movement strategies. The most surprising finding was&nbsp;that self-taught typists can achieve performance levels comparable with touch typists, even when using fewer fingers. Motion capture data exposed&nbsp;3 predictors of high performance: 1) unambiguous mapping (a letter is consistently pressed by the same finger), 2) active preparation of upcoming keystrokes, and 3) minimal global hand motion.&nbsp;</p>\n\n<p>The dataset is free for non-commercial use. Please cite the above work.&nbsp;</p>\n\n<p>Note that participants wrote in either Finnish or English.&nbsp;</p>", 
  "author": [
    {
      "family": "Feit, Anna Maria"
    }, 
    {
      "family": "Weir, Daryl"
    }, 
    {
      "family": "Oulasvirta, Antti"
    }
  ], 
  "id": "4034268", 
  "event-place": "Seoul, South Korea", 
  "type": "dataset", 
  "event": "Conference on Human Factors in Computing Systems (CHI)"
}
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