Experiments with the INCA scheduling system suggest that: it improves its ability to predict user choices over timeit improves its ability to predict user choices over time personalized case libraries are more effective than genericpersonalized case libraries are more effective than generic its advice provides greater benefit on harder problemsits advice provides greater benefit on harder problems linear models give useful predictions even when falselinear models give useful predictions even when false more detailed guidance speeds the user-modeling processmore detailed guidance speeds the user-modeling process These studies (Gervasio et al., 1999) used a mixture of human and synthetic subjects.
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