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713b41d2d623db8e9bc5 · An ACT-R Model of Elliptical Endpoint Error Distributions in a Mobile Touchscreen 2-D Fitts' Law Task

An ACT-R Model of Elliptical Endpoint Error Distributions in a Mobile Touchscreen 2-D Fitts' Law Task

Given the high propensity of users' motoric errors with smaller touchscreen buttons, knowing the endpoint distributions for finger- based pointing and tapping is especially important for higher-fidelity predictive modeling of tasks on such devices. One of

Официальный источник · 2014-10-14

Полные импортированные сведения карточки
{
  "title_en": "An ACT-R Model of Elliptical Endpoint Error Distributions in a Mobile Touchscreen 2-D Fitts' Law Task",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2014-10-14",
  "date_original": "October 14, 2014",
  "url": "https://www.nist.gov/publications/act-r-model-elliptical-endpoint-error-distributions-mobile-touchscreen-2-d-fitts-law",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Kristen Greene , Melissa A. Gallagher, Franklin Tamborello",
  "abstract_excerpt_en": "Given the high propensity of users' motoric errors with smaller touchscreen buttons, knowing the endpoint distributions for finger- based pointing and tapping is especially important for higher-fidelity predictive modeling of tasks on such devices. One of",
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  "sources": [
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    {
      "title_en": "An ACT-R Model of Elliptical Endpoint Error Distributions in a Mobile Touchscreen 2-D Fitts' Law Task",
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      "date": "2014-10-14",
      "date_original": "October 14, 2014",
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      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Kristen Greene , Melissa A. Gallagher, Franklin Tamborello",
      "abstract_excerpt_en": "Given the high propensity of users' motoric errors with smaller touchscreen buttons, knowing the endpoint distributions for finger- based pointing and tapping is especially important for higher-fidelity predictive modeling of tasks on such devices. One of"
    }
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