“Because humans and computers are such different kinds of systems, it should be possible to develop a strategy for complementary interaction. Alas, today's approaches are wrong. One major theme is to make computers more like humans. This is the original dream behind classic artificial intelligence: to simulate human intelligence. Another theme is to make people more like computers. This is how technology is designed today; the designers determine the needs of the technology and then ask people to conform to those needs. The result is an ever-increasing difficulty in learning the technology, and an ever-increasing error rate. It is no wonder that society exhibits an ever-increasing frustration with technology
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People excel at qualitative considerations, machines at quantitative ones. As a result, for people, decisions are flexible because they follow qualitative and well as quantitative assessment, modified by special circumstances and context. For the machine, decisions are consistent, based upon quantitative evaluation of numerically specified, context-free variables. Which is to be preferred? Neither: We need both.”