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In 2010, a scientific study found that a small percent of the population appeared to be much better at multitasking than others, and these people were subsequently labeled "supertaskers". [41] In 2015, another study supported the idea of supertaskers. This particular study showed that they tested people by making them drive on a driving ...
While multitasking is driven by a conscious desire to be productive, continuous partial attention is an automatic process motivated by the desire to constantly stay connected. Stone describes the reason for continuous partial attention as "a desire to be a live node on the network" [ 2 ] [ 3 ] [ 4 ]
Consequently, facing the same stimulus in different tasks produces cognitive costs, and it may be mainly these costs that are measured by switch costs. Studies have found that non-ambiguity of the stimuli (and non-overlap of responses) with respect to each of the possible tasks is sufficient to eliminate the costs of task switching in some cases.
SciELO is a bibliographic database and a model for cooperative electronic publishing in developing countries originally from Brazil. It contains 985 scientific journals from different countries in free and universal access, full-text format. Free FAPESP, CNPq and BIREME: Science.gov: Multidisciplinary
Recent studies highlight the potential for speed-ups in the optimization of engineering design parameters by conducting related designs jointly in a multi-task manner. [10] In machine learning , the transfer of optimized features across related data sets can enhance the efficiency of the training process as well as improve the generalization ...
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Multi-task learning (MTL) is a subfield of machine learning in which multiple learning tasks are solved at the same time, while exploiting commonalities and differences across tasks.
A large review of studies on driving while media multitasking showed that using a hands-free phone while driving is just as dangerous as using a hand-held version, and that both can result in many different driving mistakes including missing stop signs, forgetting to reduce speed when necessary, and following too closely, among many others.