User models of decision-making for digital twins
User models of decision-making for digital twins
Digital twins of urban environments are widely used to predict traffic flow through cities. Digital twins model human behavior using agent-based modelling. Although successful, the psychological grounding of these models, and therefore validity, is limited. We will investigate how individual differences in decision making can be modelled in digital twins in a validated, psychologically plausible way.
Leendert van Maanen
Chris Janssen
Roland Geraerdts
Bas Spierings
Taoufik Bakri (TNO)
Floor Bontje