There are many algorithms to solve scheduling problems, but in practice the knowledge of human experts almost always needs to be involved to get satisfiable solutions. In this paper, we describe a set of decision support features that can be used to improve human computer interfaces for scheduling. They facilitate and optimize human decisions at all stages of the scheduling procedure. Based on a study with 35 test subjects and overall 105 hours of usability testing we verify that the use of the features improves both quality and practicability of the produced schedules.
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