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An unscienti c observation made here was that older subjects, such as visiting professors who graciously agreed to participate in the experiment, were more critical of the human computer interface than younger ubjects The latter were more willing than the former to accept the test results as measuring their real spatial reasoning abilities In the examples above, subjects were given a chance to get used to the task before a formal test was carried out, but no attempt was made to consistently study the effect of practice on human performance he effect of training is especially serious in the case of arm operation, in view of the growing area of teleoperation tasks (consider the arm operator on the Space Shuttle, or a partially disabled person commanding an arm manipulator to take food from the refrigerator) This suggests that the training factor must be a part of the larger study.

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This list covers a good number of issues and consequently calls for a rather ambitious study In the speci c study described below, not all questions on the list have been addressed thoroughly enough, due to the dif culty of arranging a statistically representative group of subjects Some questions were addressed only cursorily For example, attempts to enlist in the experiment a local kindergarten or a primary school had a limited success, and so was an attempt to round up enough subjects over the age of 60 The very limited number of tests carried out for these insuf ciently studied issues provide these observations: (a) Children do not seem to do better than adults in our tests (b) Subjects aged 60 and over seem to have signi cantly more dif culty carrying out the tests: in the arm test, in particular, they would give In .

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says that observation data from the subjects performance in motion In Visual Studio NET Using Barcode printer for ASP The results of testing the effect of interface on the imulation group data and the booth group data are shown in Table 75; here, Virt stands for virtual and Phys stands for physical Given the signi cance level p < 001, we reject the null hypothesis (which says the two group data sets came from the same population) We therefore conclude that there is a statistically signi cant difference between the virtual tests (tests where subjects move the arm on the computer screen) and physical tests (tests where subjects move the physical arm) In other words, the interface factor has a statistically signi cant effect on the length of paths produced by the subjects.

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Furthermore, this effect is present whether or not the task is implemented in a visible or invisible environment, and whether or not the direction of motion is left-to-right or right-to-left While the Mann Whitney statistical test isolates the single factor we are interested in, the interface factor, its results do not reconcile easily with the observations summarized in Table 71 Namely, Table 71 shows that while in the easier (left-to-right) task the subjects performed better with the physical arm than with the virtual arm, this difference practically disappeared in the harder (right-to-left) task This calls for more re ned statistical tests, with two separate direction-of-motion data sets These are summarized next 4 Here the Mann Whitney test measures the effect of the interface factor using only the left-to-right (LtoR) data sets The results are shown in Table 76 Given the signi cance level p < 0.

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