Modeling human decision making associated with discrete and continuous
tasks
P.A. Wieringa1 ,M.E. Vriezen1 and F. Vanderhaegen2
1Man-Machine Systems
Group, Delft University of Technology, Delft, The Netherlands
2Laboratoire dAutomatique, de Mécaniques et dInformatique
Industrielles et Humaines, University of Valenciennes, Valenciennes, France
The goal of this research is to develop a format for obtaining data to
related to the human decision making. The operators perform a monitoring
task of a complex system which includes discrete and continuous control
tasks.
Method & Results
The basic idea is that the decision making is mainly based on personal
weighting of the costs and benefits of the execution (model developed
at the University of Valenciennes). The model consists of two main parts:
the criteria definition and the decision making. The first part de.nes
the increase of certain criteria (e.g. safety, productivity and workload)
as a function of a situation S and a certain action A which can be performed
in that situation. The second part of the model calculates a so-called
preference for each possible action (Act*), as function of the situation
and based on the differences between the criteria (i.e. .Safety(S,A)).
These preferences are compared with the actual performed action (Act).
Data to fill out the model are collected during experiments with 9 participants.
Data are recorded while a subject controls the a simulation program called
NewTranspall. Data are collected in four 15-minutes sessions (two sessions
on a complex system and two sessions on a less complex system). The first
dataset on each system is used to .t the decision making of the model.
The subject based data are collected during a verbal protocol in which
a human performs a rating scale questionnaire on the different criteria.
A rules set is formed and validated which is the base of the criteria
definition.
Conclusion
Preliminary conclusions are that
- The set of rules is probably sufficient, though not optimal, accurate
to serve as input for the human decision making.
- The exponential trade-off has better performance modeling the decision
making, than the fuzzy model using 1 antecedent, 1 consequent rules.
This could be due to the fact that fuzzy model does not explicitly introduce
trade-offs between the different criteria.
Paper presented
at Measuring Behavior 2005
, 5th International Conference on Methods and Techniques
in Behavioral Research, 30 August - 2 September 2005, Wageningen, The
Netherlands.
© 2005 Noldus
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