Different level automation technology acceptance: Older adult driver opinion
• The USEA Model predicts user behavioral intention to use of level-1 automation better than level-5 automation. • Perceived usefulness was found to be the strongest predictor of behavioral intention to use in both level of technologies. • Perceived safety is significant predictor of behavioral inte...
Ausführliche Beschreibung
Autor*in: |
Motamedi, Sanaz [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
Automated driver assistant systems |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Sewage sludge ash-based mortar as construction material: Mechanical studies, macrofouling, and marine toxicity - Prabhakar, Arun Kumar ELSEVIER, 2022, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:80 ; year:2021 ; pages:1-13 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.trf.2021.03.010 |
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Katalog-ID: |
ELV054440734 |
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• The USEA Model predicts user behavioral intention to use of level-1 automation better than level-5 automation. • Perceived usefulness was found to be the strongest predictor of behavioral intention to use in both level of technologies. • Perceived safety is significant predictor of behavioral intention to use, which impacts perceived usefulness. • Perceived anxiety has limited impact than in the acceptance model of both level technologies. |
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• The USEA Model predicts user behavioral intention to use of level-1 automation better than level-5 automation. • Perceived usefulness was found to be the strongest predictor of behavioral intention to use in both level of technologies. • Perceived safety is significant predictor of behavioral intention to use, which impacts perceived usefulness. • Perceived anxiety has limited impact than in the acceptance model of both level technologies. |
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• The USEA Model predicts user behavioral intention to use of level-1 automation better than level-5 automation. • Perceived usefulness was found to be the strongest predictor of behavioral intention to use in both level of technologies. • Perceived safety is significant predictor of behavioral intention to use, which impacts perceived usefulness. • Perceived anxiety has limited impact than in the acceptance model of both level technologies. |
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10.1016/j.trf.2021.03.010 |
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2024-07-06T21:43:56.207Z |
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