My first thought was that we’re not currently able to search by feeling or emotion, and that that might not ever be possible. And to be clear, when I say search “by feeling or emotion,” I don’t mean searching using a feeling word, like googling “sad” or “depressed” or “happy.” That, obviously, is eminently possible now.
What we aren’t doing yet, is to literally search (and tag) by the feeling or emotion experienced. Certainly, you can already tag, for example, a TED Talk, with a feeling or emotion word, such as “inspiring,” or “fascinating,” or “funny.” But you can’t communicate the actual physical, emotional experience that a video, blog, website or other content provides. At least, not yet. What if you could tag a YouTube video with the physical sensation of the uproarious laughter you experienced when you watched it? Or if you could actually share the feeling of delighted terror you experienced at that new horror movie?
Or perhaps you could search by physical touch sensation. If you could imagine the feel of silk, and the online store would filter clothing results by those with that “feel.” Or someone might sensation-tag a wool sweater as “very itchy,” and when you clicked on that item, you could choose to “feel” the sensation-tags that other users had applied. (I would hope the default would be that you would have to request or allow that tag first - nobody likes auto-launching music on sites, I can’t imagine they’d appreciate auto-launching sensory overload.)
Or what if you could research vacation destinations by searching for the sensation of warm sand between your toes and the sun on your face? Or picturing the type of wilderness trails you'd like to hike and letting the search engine find close matches to that visual image, and rank them by, say, how close they are to you?
The more I thought these ideas, though, the more I realized it might not be so impossible, after all.
Consider how advanced things like fMRI are now. Scientists know where in the brain certain emotions are seated, and can visualize, in real-time, the blood flow to those regions, indicating whether or not you are using that part of your brain, and experiencing that emotion. And advanced prosthetics are able to use electrical signals from the brain to control movement of those artificial limbs, and the science behind those is continuing to advance. One has even been demonstrated on the Colbert Report. We already have fairly accurate speech recognition capabilities which allow people to control their computers hands-free.
And the technological development (that I know of) that is closest to something which could evolve into the mechanism for such a type of search, is the brain-computer interfaces which are already capable of helping locked-in syndrome victims communicate by focusing their thoughts to move a cursor on a computer screen to communicate, surf the internet and more. One great example is this video of the NeuroSwitch: http://www.youtube.com/watch?v=GWe5YVV9dWs And that’s not the only such brain-computer interface out there.
It’s not a far cry from that to “mind reading,” of a sort. In fact, when I googled the phrase “computers reading minds,” it returned over 28,000,000 results. Perhaps a little frightening, in the time elapsed from this afternoon to this evening, the same search yielded 100,000 additional results the second time.
Right now, the focus seems to be on more obvious practical benefits, such as helping the locked-in communicate, rather than a superfluous-seeming search-by-emotion capability. But if you consider how quickly computers evolved from giant mainframes that cost millions of dollars, to something you could carry in one hand and use to read books, watch tv, play games, shop, make phone calls, video conference, and more, given the technology that already exists for computers to interpret human brain patterns, what as-yet un-thought-of applications might that develop into in the next 25 years? It would be frivolous now to use the technology for “mere” online search purposes, but there may come a time when that’s the least of what brain-computer interfaces can achieve.