While the aim of our methodology is to automate much of the
decision-making process, key points will require people to make
choices and the system realizing the methodology will require
human monitoring. E.g. in traffic management, determining the
trade-off between minimizing average journey times and setting
acceptable thresholds on maximum wait times requires human
monitoring. Other tasks such as communicating traffic state,
advising road users and road planners, require operators to
maintain a good mental model of the dynamics of the road system,
and also of the decision-making system itself (see the previous
section). The effectiveness of human decisions will be enhanced
to the extent that the dynamics of the entire system can be made
transparent.
We will address these issues through visualization technologies
that are tuned to what is known about human decision-making
processes. We will build on work in online information foraging
for decision-making [20] and in the time signature of the human
cognitive architecture to drive new designs for visualization.
Subtle changes in the time costs of making comparisons can lead