Certified to Drive: A Policy Proposal for Mandatory Training on Semi-Automated Vehicles
April 10, 2025 Β· Declared Dead Β· π Journal of Science Policy & Governance
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Soumita Mukherjee, Varun Darshana Parekh, Nikhil Tayal
arXiv ID
2504.08128
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.IT
Citations
0
Venue
Journal of Science Policy & Governance
Last Checked
5 months ago
Abstract
Although the Boeing 737 Max incidents resulted from a mix of design shortcomings, regulatory oversights, and systemic issues, they also highlight a critical gap in pilot training on managing automated systems during abnormal conditions. This example demonstrates the urgent need for focused, concise training on human-automation interaction - a need that is equally critical for operators of Level 2 ADAS-equipped vehicles, as discussed in detail later in this article. The lack of structured education for semi-automated vehicle operators mirrors similar risks in other industries, where formal training is critical for safe operation. Two policy recommendations are proposed. First, governments should create concise, official resources in accessible and official format to educate drivers on system capabilities and limitations. Second, mandatory training and certification programs should be introduced, combining theoretical and hands-on components to prepare drivers for real-world scenarios. These measures will improve driver understanding, reduce misuse, and foster public trust in semi-automated vehicle technologies. By addressing the knowledge gap, policymakers can ensure a safer, more responsible transition to automation, maximizing its benefits while minimizing risks to public safety.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted