Multiple-Task Performance - Damos - 1991 () Citation Context ...able expertise in performing the tasks involved individually and in combination—anadvantage not enjoyed by users of many mobile multimodal systems. (Useful summaries of research are offered by Damos (=-=Damos, 1991-=-), and by ...
The present study investigated the effects of five days' cumulative sleep restriction and two nights' recovery sleep on multiple-task performance and subjective sleepiness in a controlled laboratory environment. A total of 21 volunteers participated, thirteen in the experimental group and eight in the ...
We estimated growth curves corresponding to each task element and calculated the area under each growth curve as a summary performance index. Growth curves corresponding to the maximized, high-priority task element in the variable-priority condition reflected maximum performance, whereas those ...
Finally, extensive offline experiments conducted on public benchmark datasets demonstrate that DTN can be applied to various scenarios beyond recommendations, enhancing the performance of ranking models. PDF Abstract Code Edit No code implementations yet. Submit your code now Tasks Edit Feature ...
As different features of insect images contribute differently to the classification of insect species, the multiple-task sparse representation technique can combine multiple features of insect species to enhance the recognition performance. Instead of using hand-crafted descriptors, our idea of sparse-...
The ablation study showed that the GAT, AAM and missing indicator could improve the overall performance of the model. Furthermore, the inter-organ correlation and prediction adjustment of IOC-MT were intuitive and comprehensible, and also had biological plausibility.#The IOC-MT is a promising MT ...
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. While sometimes the underlying task... AR Goncalves,P Das,S Chatterjee,... - ACM 被引量: 23发表: 2014年 加载更多研究点推荐 Multi-Task Multiple Kernel Relationship Learning multi...
However, existing modeling tools either can only predict human performance or require users of tools to learn a new programming language. Queueing Network-Model Human Processor (QN-MHP) is a new cognitive architecture for modeling both human performance and mental workload in multiple tasks. This ...
Open the Simulink model. Get mdl ="rlCollaborativeTask"; open_system(mdl) For this environment: The 2-dimensional space is bounded from –12 m to 12 m in both the X and Y directions. The contact spring stiffness and damping values are 100 N/m and 0.1 N/m/s, respectively. ...
High mental effort, even when accompanied by productive time management, is not sufficient to produce high performance unless the author effectively deal with the emotions and feelings in such situations. Originality/value – A comprehensive understanding of the affective, cognitive, and physical ...