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Titlebook: Engineering Psychology and Cognitive Ergonomics; 9th International Co Don Harris Conference proceedings 2011 Springer-Verlag GmbH Berlin He

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41#
發(fā)表于 2025-3-28 17:44:39 | 只看該作者
Subitizing-Counting Analogue Observed in a Fast Multi-tapping Task), the error rate was smaller, and if the number was larger (> 4), the error rate rose abruptly. These findings could lead to the model of human cognition and manipulation of the number, hence to the design of the usable human interface.
42#
發(fā)表于 2025-3-28 22:29:50 | 只看該作者
0302-9743 cts of interaction; cognitive aspects of driving; cognition and the Web; cognition and automation; security and safety; and aerospace and military applications.978-3-642-21740-1978-3-642-21741-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
43#
發(fā)表于 2025-3-28 23:40:34 | 只看該作者
44#
發(fā)表于 2025-3-29 05:15:45 | 只看該作者
45#
發(fā)表于 2025-3-29 09:59:09 | 只看該作者
46#
發(fā)表于 2025-3-29 13:07:36 | 只看該作者
https://doi.org/10.1007/978-3-642-55460-50.05. Based on the steering wheel angle, the driver fatigue evaluation model is established by the Bayesian Network (BN). The structure and parameters for BN model are determined after adaptive training. The experiment results verified that this model is effective to identify driver’s fatigue level.
47#
發(fā)表于 2025-3-29 16:35:44 | 只看該作者
Audio and Audiovisual Cueing in Visual Search: Effects of Target Uncertainty and Auditory Cue Precis00% for absent targets. Furthermore, within audiovisual cue condition, while present target search times decreased with target percentage, absent target search times increased with target percentage. Cue condition and target uncertainty driven search strategies are discussed, with recommended design requirements and research implementations.
48#
發(fā)表于 2025-3-29 21:21:51 | 只看該作者
49#
發(fā)表于 2025-3-30 00:51:48 | 只看該作者
Facial Expression Measurement for Detecting Driver Drowsinesscial image. In order to classify drowsiness into 6 levels, we applied k-Nearest-Neighbor method. As a result, the average Root Mean Square Errors (RMSE) among 13 participants was less than 1.0 level. Our method also detected the driver’s smile.
50#
發(fā)表于 2025-3-30 04:50:32 | 只看該作者
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