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Portrait of a Multitasking Mind: Scientific American

our old legends showed Multitasking Devis Goddesses, now Mind from SciAm.com

We can do multitasking while driving, working, loving, caring, nurturing, protecting, memorizing, walking, running, concentrating, reading, writing, and practicing.

It seems that chronic media-multitaskers are more susceptible to distractions.

Heavy media multitaskers performed worse on task switching than light media multitaskers.

We all know Hindu Goddesses with 1000 of hands doing multiple things at a time killing all demons, compared to computer parallel thread model when RaktaBIJ , one demon would be alive with every blood drop, like thread killed rising ever again from nowhere.

So, our eastern culture religious model is connected to mind, our heart and spirit and soul.

Media multitasking is increasingly common, to the extent that some have dubbed today’s teens “Generation M.”

A national Kaiser Family Foundation survey found children and teens are spending an increasing amount of time using “new media” like computers, the Internet and video games, without cutting back on the time they spend with “old” media like TV, print and music. Instead, because of the amount of time they spend using more than one medium at a time (for example, going online while watching TV), they’re managing to pack increasing amounts of media content into the same amount of time each day.

Goddess model is now implemented across newer CPUs like NEON XEON processors..whatever from Intel, Dell to name a few.

The internet, with its increasing use of nonlinear nonsequential hypermedia, multimedia, and sophisticated graphic and visual features, has changed our habits of searching, locating, retrieving, accessing, using, and producing information. Users of hypertexts constantly conduct dual tasks or switch tasks by switching screens or web pages. The computer is a highly media-multitasked medium because it offers many opportunities for media multitasking, both within itself and across other platforms (7). The nonlinear and decentralized structure of information on the web, which is potentially contributing to media-multitasking behaviors, may have the potential to promote learning and creativity. Weinberger (8) argues that individuals exposed to a concept in multiple decentralized sources may gain deeper and more complex understandings of this concept.

While the researchers focused on a type of control known as “top-down” attention, meaning that control is initiated by higher-level mental processes such as cognition in service of a specific goal, they suggest that heavy media-multitaskers might be better at “bottom-up” attention.

Those who engage in media-multitasking more frequently are “breadth-biased,” preferring to explore any available information rather than restrict themselves.

Look around yourself – do you see notes and to-do lists? Piles of objects meant to remind you about tasks and goals? These sorts of reminders are a great way to take advantage of bottom-up attentional control, and this type of control might in fact be more influential in our lives than we realize.

Technology has long been identified as the catalyst that allows us to do more with less time or effort. McLuhan (6), whose work is viewed as one of the cornerstones of media theory studies, reminded us that media and technologies are extensions of humankind. According to McLuhan, each medium adds itself on to what we already are, creating both “amputations and extensions” to our senses and bodies, shaping them into a new technical form (6). It is our dependency and linkage to technology that makes it an integral part of our lives.

Portrait of a Multitasking Mind: Scientific American.

13 thoughts on “Portrait of a Multitasking Mind: Scientific American

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  8. see, you got it right. Multitasking fellows have bad output like you.Heavy media multitaskers performed worse on task switching than light media multitaskers.

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  10. “And they published the genome of the horse! I hope that comes in handy at the Belmont, Michael.”
    “Aaaaand good afternoon, everybody, how are your vital signs today?! Mike and the Mad Scientist with you here on QED radio, simulcast on the Nobel TV Network! How are you, Michael?”
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    “I wanted to float a trade by you guys. How about Harvard trades Steven Pinker and Noam Chomsky for Sean Carroll and a postdoc to be named later?”
    “That’s a problem, Sci, and then there’s a bigger problem—Noam Chomsky isn’t at Harvard, he’s at M.I.T. Chomsky’s at M.I.T. Pinker’s at Harvard. He used to be at M.I.T., Pinker, Pinker used to be at M.I.T., but now he’s at Harvard. Chomsky’s at M.I.T., he’s at M.I.T., so you can’t put the package together in the first place, because Chomsky’s at M.I.T.”
    “Hal, this is Mike, listen, you think Heisenberg wasn’t on massive doses of caffeine? He did his best work, when, in his early 20s? You think he was sleeping more than, what, two hours a night, three hours a night? Don’t kid yourself, there was stuff they did back then, maybe not Mountain Dew, but they had ways to keep working all night. I’ll tell you what they didn’t have back then, they didn’t have competitors coming in from all over the world to their labs to compete with them. If anything, these kids today, they’re on average better. I’m not saying that the best ones are better than, say, your Einsteins or your Feynmans, but I’d say on average the average ones are better today than the average ones were back then, pound for pound.”

  11. Take Seligman’s “happiness equation” (physics envy lives!): H = S + C + V (Happiness = your Set range + the Circumstances of your life + the factors under your Voluntary control). As Ehrenreich notes, “if you’re going to add these things up you will have to have the same units [of measurement] for H (happy thoughts per day?) as for V, S, and C.” When she confronted Seligman with this problem in an interview, “his face twisted into a scowl, and he told me that I didn’t understand ‘beta weighting’ and should go home and Google it.” She did, “finding that ‘beta weights’ are the coefficients of the ‘predictors’ in a regression equation used to find statistical correlations between variables. But Seligman had presented his formula as an ordinary equation, like E = mc2, not as an oversimplified regression analysis, leaving himself open to literal-minded questions like: How do we know H is a simple sum of the variables, rather than some more complicated relationship, possibly involving ‘second order’ effects such as … C times V?” We don’t know, thereby rendering the equation nothing more than a slogan gussied up in math.

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