f2228142b1f56a2333b9 · Support for ACT-R Modeling of Elliptical Endpoint Error Distributions in Mobile Touchscreen 2-D Fitts' Law Tasks
Support for ACT-R Modeling of Elliptical Endpoint Error Distributions in Mobile Touchscreen 2-D Fitts' Law Tasks
Given the high propensity of users motoric errors with smaller touchscreen usa-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
{
"title_en": "Support for ACT-R Modeling of Elliptical Endpoint Error Distributions in Mobile Touchscreen 2-D Fitts' Law Tasks",
"designation": "",
"series": "",
"status": "",
"date": "2014-04-01",
"date_original": "April 1, 2014",
"url": "https://www.nist.gov/publications/support-act-r-modeling-elliptical-endpoint-error-distributions-mobile-touchscreen-2-d",
"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 usa-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",
"id": "f2228142b1f56a2333b9",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Support for ACT-R Modeling of Elliptical Endpoint Error Distributions in Mobile Touchscreen 2-D Fitts' Law Tasks",
"designation": "",
"series": "",
"status": "",
"date": "2014-04-01",
"date_original": "April 1, 2014",
"url": "https://www.nist.gov/publications/support-act-r-modeling-elliptical-endpoint-error-distributions-mobile-touchscreen-2-d",
"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 usa-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"
}
],
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}