Abstract
We outline a model for types and levels of automation that provides
a framework and an objective basis for deciding which system functions
should be automated and to what extent. Appropriate selection is
important because automation does not merely supplant but changes
human activity and can impose new coordination demands on the human
operator. We propose that automation can be applied to four broad
classes of functions: 1) information acquisition; 2) information
analysis; 3) decision and action selection; and 4) action implementation.
Within each of these types, automation can be applied across a continuum
of levels from low to high, i.e., from fully manual to fully automatic.
A particular system can involve automation of all four types at different
levels. The human performance consequences of particular types and
levels of automation constitute primary evaluative criteria for automation
design using our model. Secondary evaluative criteria include automation
reliability and the costs of decision/action consequences, among
others. Examples of recommended types and levels of automation are
provided to illustrate the application of the model to automation
design
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