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This study aims to develop a risk prediction model for in-vehicle tasks performed by drivers by using two methods: task analysis (TA) and back-propagation neural networks (BPNNs). Sixty-six participants volunteered to participate and were divided in two groups with different in-vehicle secondary tasks (traditional vs. in-vehicle information system/IVIS) and participated in a driving experiment simulating...
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