Personalizing driver safety interfaces via driver cognitive factors inference

Abstract Recent advances in AI and intelligent vehicle technology hold the promise of revolutionizing mobility and transportation through advanced driver assistance systems (ADAS). Certain cognitive factors, such as impulsivity and inhibitory control have been shown to relate to risky driving behavi...

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Bibliografische Detailangaben
Hauptverfasser:	Emily S. Sumner, Jonathan DeCastro, Jean Costa, Deepak E. Gopinath, Everlyne Kimani, Shabnam Hakimi, Allison Morgan, Andrew Best, Hieu Nguyen, Daniel J. Brooks, Bassam ul Haq, Andrew Patrikalakis, Hiroshi Yasuda, Kate Sieck, Avinash Balachandran, Tiffany L. Chen, Guy Rosman
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2024-08-01
Schriftenreihe:	Scientific Reports
Online-Zugang:	https://doi.org/10.1038/s41598-024-65144-8
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Personalizing driver safety interfaces via driver cognitive factors inference

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