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(4.108)

1658 1526 2008

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system provides enough bene ts, the user will be inclined to change his own decision behavior Benbasat and Todd (following Newell and Simon, 1972) use elementary information processes (EIP s) as the smallest task elements Decision aids should substitute such information processes so that other EIP s (either performed by man or machine) can use the output of these small elements In this way, intermediate results are understandable by the decision maker What is elementary is not de ned and contingent upon the goal of the analysis and the characteristics of the domain Note that this approach focuses rstly on the decision maker and only then on the problem structure Decomposing the problem in subproblems will probably mean that the optimal solution (or a very good solution) from a mathematical perspective will not be found.

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wirelessly. However, you don t need to make the investment in technology that a computer or receiver requires to wirelessly share your music. There are now some simpler ways to do so.

Whether this is acceptable or not is part of the trade-off between the efforts of the human planner to understand a solution and the quality of that solution The ideas of Benbasat and Todd (1996) can of course be applied to the domain of scheduling support Task-oriented scheduling support focuses on both (a) the domain characteristics and computational advances that have been made to solve scheduling problems in the domain and (b) the problem-solving processes of the human planner Changes in the task that are forced by the introduction of scheduling support do not pose a problem as long as the planner feels that either the task strain is reduced or the quality of the outcome is increased This approach can be applied if the quality of the outcome is important, but the task environment is unstable and requires human judgment.

1-1. 1-3. 1-4. 1-5. 1-6. 1-7. 1-9. 1.10.

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Consequential generation techniques can be understandable and acceptable to the user even if they are not based on symbolic information processing Therefore, domain-based techniques seem to be at an advantage because they can compute better solutions in most cases But such techniques should only be used for subtasks of which the human planner does not need intermediate results Generation algorithms can also be applied for subtasks on the level of mixed initiative Preferably, algorithms at the level of mixed initiative need to be able to communicate about the search process to the planner in a meaningful way This can be reached if an algorithm to perform a subtask at the level of mixed initiative uses algorithms that are made for subtasks of the subtask under consideration Then, the algorithm uses the same partitioning of the task as the planner and intermediate solutions are always understandable by the human user.

5:1

For this, however, the task structure of the human planner must be extracted This links the analysis of Benbasat and Todd to the task analyses that are used in the problem-solving-oriented generation techniques as discussed in Section 724 and in 3 (Hoc) and 4 (Jorna) In other words, making algorithms for subtasks combines the strengths of domain-oriented approaches and problem-solving-oriented approaches in the mixed initiative approach The concept is depicted in Figure 77 Each given subtask can be decomposed into smaller subtasks For each of these subtasks, it must be decided how it will be performed: by the computer, by the human planner, or by both in interaction with each other Each of the subtasks that will be executed in interaction can be decomposed itself For each of the sub-subtasks, the same analysis can be made..

The positioning of a product depends mainly on its ef cient use of resources, on the environmental impact of its production, on the environmental savings by using it in the marketplace, and by the amount of nal waste left at the end of its lifetime in other words, on its ability to be recycled. Plastics make a positive contribution in most of these sectors.

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sition but is not considered as mandatory for product release in current MSC clinical trials. 1.4.5 CONCLUSION

categories of tools and facilities is pretty representative of each class, including the various additional members in the software and service categories I present in the next section of this chapter.

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