NIST · ИТ · fdef71b909029be15cce
ACT-R Modeling of Password Entry Errors
Validated predictive models of human error for password-related tasks could better inform password requirements for both government and civilian systems. Here, we build upon prior modeling work focused on disentangling the source of password entry errors
NIST · ИТОфициальный источник · 2015-04-02
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"title_en": "ACT-R Modeling of Password Entry Errors",
"designation": "",
"series": "",
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"date": "2015-04-02",
"date_original": "April 2, 2015",
"url": "https://www.nist.gov/publications/act-r-modeling-password-entry-errors",
"source": "NIST Publications",
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"authors_en": "Kristen Greene , Franklin Tamborello",
"abstract_excerpt_en": "Validated predictive models of human error for password-related tasks could better inform password requirements for both government and civilian systems. Here, we build upon prior modeling work focused on disentangling the source of password entry errors",
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"title_en": "ACT-R Modeling of Password Entry Errors",
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"date": "2015-04-02",
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"url": "https://www.nist.gov/publications/act-r-modeling-password-entry-errors",
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"authors_en": "Kristen Greene , Franklin Tamborello",
"abstract_excerpt_en": "Validated predictive models of human error for password-related tasks could better inform password requirements for both government and civilian systems. Here, we build upon prior modeling work focused on disentangling the source of password entry errors"
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