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Taxonomy of advice types

This comes from a combination of the system model and the end-user model. We need a taxonomy of the responses given by systems that not only covers what will come out of grammar checkers, but that also covers what actual advice various end-user classes would need to allow them to correct an error -- what ought to come out of grammar checkers, as it were.

The structure of a response is an ordered set of suggestions, each of which has a given advice type, and the instantiation of that type has a certain advice quality. Characteristics of advice are:

The number of suggestions and their order:
This is related to precision/recall questions concerning how easy it is for the end-user to choose among the suggestions.

Type of diagnosis support:
By this we mean any material that accompanies a suggestion designed to enable the end-user to decide whether to accept that suggestion or not. Where there are multiple suggestions the task is choosing among the set of suggestions plus the option of ignoring them all. The kinds of value we identify are:

Type of suggestions:
We identify the following main kinds of value for this characteristic:
Certain pieces of advice may contain more than one of these elements, which can confuse matters.


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Next: Relationships among parts of Up: Task model Previous: A Taxonomy of grammar

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