Ph.D., Texas Tech University Research InterestsMy laboratory investigates decision making in complex dynamic environments.
Such environments are characterized by the need for people to make
multiple, interdependent, real-time decisions in reaction to both external
changes, as well as the effects of their past decisions.
We ask the general question of how decision makers adapt and learn in
dynamic situations. This question naturally leads to a focus on the match
between decision processes and the dynamic situations in which those
decisions are made. DDM theory and methods, therefore, are particularly
suited to programs concerned with the integration of humans and complex
systems.
Practical applications of our research extend from front-end system design
activities to back-end training and decision-support. On the front-end, we
can provide principled guidance and empirical support for the design of
systems that exploit DDM strengths. On the back-end, we can help decision
makers exploit system strengths. In this respect, DDM theory and methods are
particularly suited for the design of training interventions. But the
closely related activity of decision support design is no stretch for the
skill set our multi-disciplinary team provides. Recent Publications- Cronin M, Gonzalez C: Understanding the building blocks of systems dynamics. System Dynamics Review, 23(1): 1-17, 2007.
- Gonzalez C: Task workload and cognitive abilities in dynamic decision making. Human Factors, 47(1): 92-101, 2005.
- Gonzalez C, Dana J, Koshino H, Just M: The framing effect and risky decisions: Examining cognitive functions with fMRI. Journal of Economic Psychology, 26(1): 1-20, 2005.
- Gonzalez C, Thomas R, Vanyukov P: The relationships between cognitive ability and dynamic decision making. Intelligence, 33(2): 169-186, 2005.
- Gonzalez C, Vanyukov P, Martin MK: The use of microworlds to study dynamic decision making. Computers in Human Behavior, 21: 273-286, 2005.
- Gonzalez C: Learning to make decisions in dynamic environments: Effects of time constraints and cognitive abilities. Human Factors, 46(3): 449-460, 2004.
- Gonzalez C, Lerch FJ, Lebiere C: Instance-based learning in dynamic decision making. Cognitive Science, 27: 591-635, 2003.
- Gonzales C, Quesada J: Learning in dynamic decision making: The recognition process. Computational and Mathematical Organization Theory, 9(4): 287-304, 2003.
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