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Titlebook: Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness; 14th International C Don Harris Conference p

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41#
發(fā)表于 2025-3-28 14:50:18 | 只看該作者
Stephen Chin,Johan Vos, PhD,James Weaverons. There was a low-strain everyday condition and two evacuation conditions with higher mental, emotional and physical demands. Significant differences in direction decisions were found between the everyday and the two evacuation conditions. The participants payed more attention on environmental cu
42#
發(fā)表于 2025-3-28 21:03:12 | 只看該作者
43#
發(fā)表于 2025-3-29 02:00:07 | 只看該作者
Administration and Server Configurationbility, controllability, globality) as well as attributional patterns (ability, effort, luck, and task difficulty) were examined. In contrast to other research domains (e.g., education), it was found that users with a positive computer-related self-concept attribute causes for successes and failures
44#
發(fā)表于 2025-3-29 05:40:41 | 只看該作者
From Eclipse RCP to the NetBeans Platform,l in assessing the participants’ anxiety on time. In addition, results indicated that sounds, especially those which gradually ascending with acceleration, could diminish the subjective anxiety under some conditions.
45#
發(fā)表于 2025-3-29 08:47:52 | 只看該作者
Engineering Psychology and Cognitive Ergonomics: Performance, Emotion and Situation Awareness14th International C
46#
發(fā)表于 2025-3-29 15:12:49 | 只看該作者
47#
發(fā)表于 2025-3-29 16:45:04 | 只看該作者
48#
發(fā)表于 2025-3-29 23:43:23 | 只看該作者
An Analysis of Pilot’s Workload Evaluation Based on Time Pressure and Effortme pressure and effort altogether into account under double hydraulic failure condition. Eventually, the analysis on the relationship between time pressure and effort enables to proceed the research of workload evaluation.
49#
發(fā)表于 2025-3-30 00:00:44 | 只看該作者
50#
發(fā)表于 2025-3-30 04:44:54 | 只看該作者
Model-Driven Payload Sensor Operation Assistance for a Transport Helicopter Crew in Manned–Unmanned eration to minimize the crews’ MWL. Furthermore, an instance of a combined task- and resource model that describes MWL for several levels of automation in sensor guidance and payload sensor data evaluation is presented. Model parameters of human interaction for a holistic task- and activity set will
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