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| − | http://v2.nl/lab/blog/knitting-typewriter/?searchterm=knitting
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| − | Synesthesie is een vermenging van de zintuigen. Hoewel het niet ongewoon is dat zintuigelijke waarnemingen onderlinge invloed hebben, is dit bij synesthesie dusdanig sterk dat bijvoorbeeld kleuren geproefd worden of geluiden gezien. Ook is er de zogenaamde spiegel-aanrakingsynesthesie, waarbij dezelfde fysieke pijn ervaren wordt als men ziet dat iemand anders fysieke pijn heeft.[1] Deze eigenschap van de hersenen komt bij relatief weinig mensen voor. Deze nemen meerdere soorten impulsen tegelijk waar, ook als die in feite in het algemeen door andere zintuigen worden gegenereerd.
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| − | --- http://knitting.smeech.co.uk/knit-rgb-disco-thur-5th-march-whitworth-gallery/
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| − | http://youtube.be/hoiuYw5pVQ4
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| − | http://www.phillipstearns.com
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| − | These last years hackers and makers have started to open up knitting machines and found new ways to hack them by allowing the machines to be controlled directly by a modern computer. These hacked knitting machines become a sort of textile printer. Having s direct communication between digital tools and the knitting machine pushes teh boundaries of traditional knitted patterns and gives us the oppurunity to think of new way's in conceiving patterns.
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| − | Human error Human error has been cited as a primary cause or contributing factor in disasters and accidents in industries as diverse as nuclear power. Prevention of human error is generally seen as a major contributor to reliability and safety of (complex) systems. Human error is one of the many contributing causes of Risk events.
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| − | Human error means that something has been done that was "not intended by the actor; not desired by a set of rules or an external observer; or that led the task or system outside its acceptable limits". This, indeed, may be the first step but solving the problem of human error is proving to be far from simple. One commanding suggestion is that since to err is human, we should put our faith in things that supposedly do not make mistakes: computers.
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| − | Yet studies have found that we are not all enamoured, as some believe we should be, by the possibilities of computers limiting our own inbuilt defects. In 2014, three University of Pennsylvania researchers coined the term “algorithm aversion” to describe peoples’ desire to place trust in other humans rather than unbiased and, apparently, infallible, digital hardware and software.
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| − | “Aside from their systematic failings, people get sick, tired, distracted and bored. We get emotional. We can retain and recall a limited amount of information under the very best of circumstances
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| − | However, if humans are prone to errors, then aren’t the most complex of algorithms and computerised machines also capable of making mistakes? In 1997, the chess grandmaster Garry Kasparov sat down to play an IBM-designed supercomputer nicknamed Deep Blue. It was to be the ultimate battle of man against machine – the survival of human thought against the future of technological assurance – and few doubted that machine would triumph. They were correct. However, towards the middle of the contest, a software glitch in Deep Blue forced it to make a random move. Kasparov, believing the machine to be perfect, responded as if this was intentional and, making a strategic error himself because of this, handed the game to the robot.
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| − | Humans will always make mistakes and so will machines because there are human made. We are intrested in the Human error, and the mistakes that are offten blaimed on the machines. Like the facical reconison app that whas not able to track people with a dark skin, people blaimed the program and said that it whas rasist. But the program just dous what it is programmed to do and this algorithm was giving data with only light skin people. The data that whas giving by the humans was rasist data. The error is Human. We want so resourch the human error in machines and we want to do this with different knitting machines. Right now we are working on the open knitting machine, a machine made by humans, it was not working when we got it from the interaction station and we are trying to find the human error. we would like to experiment with knitting the human error.
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