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Exploring Apple s data entry paradigm and implementing my own version challenged me to think deeply about why Apple chose this particular implementation and what designs may have been left on the cutting room floor. Some people complain about the perceived inefficiency of Apple s data entry paradigm, but for most users an intuitive interface actually outperforms a potentially faster, but more ambiguous interface. Efficiency is defined as achieving maximum productivity with minimum wasted effort or expense. There are lots of ways for an iPhone UI to waste user effort, but wasting taps seems to be the focus of most left-brained iPhone developers.

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Shovel Strike plates and strike boxes, assorted types and sizes Utility knife and assorted blades Vacuum cleaner Weiser shim pick Wood chisels, assorted sizes (Fig. 2.39) Wood glue

11 20 40 30 99 30 50

When I first started mocking up UI elements for Trip Cubby, every feature was measured by the number of taps required to accomplish a specific result. My thought was that by minimizing the number of taps, I was creating a more efficient application. But as I continued studying design and started actually using the early builds of Trip Cubby, my initial ideas and assumptions about what makes a truly efficient UI on the iPhone were thrown out the window.

29 20 00 10 59 10 10 Sum: Mean of sum:

Figure 2.37 A boring jig is a tem-

841 400 0 100 3481 100 100 5022 717.43

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One of the keys to creating great UI on the iPhone is taking a step back and thinking a bit about how users actually interact with the iPhone with their fingers Yes, that s incredibly obvious, but something so obvious generally caries significance that few people take the time to explore The finger is an incredibly efficient pointing device, far more efficient than the mouse When the mouse was first introduced, it revolutionized human interaction with computers I would argue that Apple s multitouch interface will, in time, prove to be even more revolutionary A mouse manifests an unnatural disconnect between the motion of the user s hand and the action on screen.

plate that acts as a guide for drilling precise installation holes and cutouts for locks and door hardware. (Keedex Mfg.)

As the chart shows, the average of the squared differences is 717.43. To derive the standard deviation, simply find the square root of that value. The result is approximately 26.78. To interpret the standard deviation, remember that it is the average distance from the mean of each element in the sample. The standard deviation tells you how representative the mean is of the entire sample. For example, if you owned a candy bar factory and your plant foreman reported that the daily

output averaged 2,500 bars last month but that the standard deviation was 2,000, you would have a pretty good idea that the production line needed better supervision! Here is an important rule of thumb: assuming that the data you are using conforms to a normal distribution, about 68 percent of the data will be within one standard deviation from the mean, and about 95 percent will be within two standard deviations. The stdDev( ) method shown next computes the standard deviation of an array of values:

Most people these days have used a computer enough to be somewhat accustomed to the mouse, but if you watch someone use a computer for the first time, you ll see a definite learning curve to using a mouse! I ve even noticed a bit of a learning curve when using a new mouse or tracking settings with which I m unfamiliar But the human finger, that s something just about every human being in the world is quite accustomed to using We ve learned since birth how to control our fingers with an amazing level of precision and speed Imagine if you were to attempt playing the piano with a mouse Your tune would be choppy and unmusical at best A touch-screen piano, however, would be playable, even if it didn t match a real piano for feel and accuracy.

Figure 2.38 Hole saws and spade bits are used to install locks on doors. (Skil Corporation)

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