Wiredhighlights a young machine , still in paradigm shape , make for the dissertation project of designer - engineerSaurabh Dattaof Copenhagen ’s Institute of Interaction Design . It aims to build muscle retentivity to help the artistically take exception learn to draw , or even play the forte-piano .
Datta created a serial of devices that learn people simple task like tapping a piano key or drawing canonic shape by using force haptic feedback . In other Bible , you do n’t control Datta ’s machines , they insure you .
Datta , a civic engineer by trade , began the project as a way to investigate how he could learn to toy the pianoforte with the help of a car . He wondered : If we gave more government agency to the machine in our life history , could they assist us improve sure acquisition by building muscle computer storage ? instructor , for example , is a simple machine that train you to make by forcing your hand to do sealed gesture . The mentation goes , repeat the undertaking enough times and finally your hand will remember how to do it on its own .
His earlier force Finger project similarly used forced tactual feedback to control his index fingerbreadth ; a robotic lever tumbler promote and lowers the digit to hit certain key on a piano . In both cases the machine use your appendage like an non-living tool rather than the complex and open mechanism that it is .
Datta ( a ego - described “ lifelong tinkerer ” ) found that it ’s not gentle to wedge man to give over perfect restraint to the machine , though the machine was able to “ learn ” about human effort as the experiments continued , and make more “ human - rivet decisions . ”
And while there ’s something unsettling about just letting a machine do the piece of work for you ( as anyone who expend years toiling over piano moral can attest ) , there ’s more to it than that . As Wired points out : “ Experiments like Datta ’s can help us understand the nuances of the strong-arm relationship between homo and machine . ”
human vs machine
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