Designing human-centered automation: trade-offs in collisionavoidance system design
Goodrich, M.A.
Boer, E.R.
Res. & Dev., Nissan Cambridge Basic Res., MA, USA;
This paper appears in: Intelligent Transportation Systems, IEEE Transactions on
Publication Date: Mar 2000
Volume: 1,
Issue: 1
On page(s): 40-54
ISSN: 1524-9050
References Cited: 61
CODEN: ITISFG
INSPEC Accession Number: 6724199
Digital Object Identifier: 10.1109/6979.869020
Current Version Published: 2002-08-06
Abstract
Human-centered automation problems have multiple attributes: an
attribute reflecting human goals and capabilities, and an attribute
reflecting automation goals and capabilities. In the absence of a
general theory of human interaction with complex systems, it is
difficult to define and find a unique optimal multiattribute resolution
to these competing design requirements. We develop a systematic approach
to such problems using a multiattribute decomposition of human and
automation goals. This paradigm uses both the satisficing decision
principle which is unique to two-attribute problems, and the domination
principle which is a common manifestation of the optimality principle in
multiattribute domains. As applied to human-centered automation in
advanced vehicle systems, the decision method identifies performance
evaluations and compares the safety benefit of a system intervention
against the cost to the human operator. We illustrate the method by
analyzing an automated system to prevent lane departures
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