Dr Emmanouil Konstantinidis
- Position: Associate Professor in Behavioural Decision Making
- Areas of expertise: Cognitive psychology and decision-making with an emphasis on mathematical and computational modelling of the underlying psychological and cognitive processes
- Email: E.Konstantinidis@leeds.ac.uk
- Phone: +44(0)113 343 7726
- Location: 1.16 Charles Thackrah
Before joining the Centre for Decision Research at the University of Leeds, I was a post-doctoral research fellow in the School of Psychology at the University of New South Wales in Sydney, Australia (2015-2017), and the Department of Social and Decision Sciences at Carnegie Mellon University in Pittsburgh, USA (2014-2015). During my time at these institutions I was involved in research projects pertaining various issues in the field of decision-making and learning, including risky decision-making, decision-making in uncertain and dynamic environments, and computational modelling thereof.
My doctoral research was conducted in the Department of Experimental Psychology at University College London (Ph.D. awarded in 12/2014) and explored the role of unconscious influences on decision-making under uncertainty, incorporating experimental and computational modelling approaches. During my Ph.D. training, I spent 3 months in the Department of Psychological and Brain Sciences at Indiana University Bloomington, where I worked on topics related to computational modelling of experience-based decision-making.
The main focus of my research has been on cognitive psychology and decision-making with an emphasis on mathematical and computational modelling of the underlying psychological and cognitive processes. Specifically, one strand of my research concerns the examination of decision-making behaviour in uncertain and dynamic environments. My colleagues and I have utilised experimental and computational methods to understand how core psychological processes (e.g., awareness, confidence, cognitive load, memory, and learning) interact and affect decision-making behaviour. Some aspects of this work include a) the development and testing of computational models that attempt to explain peoples confidence judgments in experiential decision-making tasks, based on the principles of reinforcement-learning and signal detection theory, b) how people combine different sources of information when making decisions, and how the complexity of the decision environment (i.e., number of options and number of outcomes from each option) affect decision making behaviour, c) experimental and computational insights on the exploration-exploitation trade-off, d) principles of model comparison and development in experience-based decision-making.
Another strand of my research concerns the examination of risky intertemporal choice: how people make decisions between monetary prospects that are simultaneously risky and delayed into the future. Our approach examines how choice preferences are formed using computational models that are based on psychological and cognitive principles. Some aspects of this work include a) the use of sequential accumulator models (e.g., the Linear Ballistic Accumulator) as a framework to explain both choice and response time data in risky intertemporal choice tasks, b) the examination of the processing steps that are involved in making risky intertemporal decisions by utilising process-tracing methods. To that end, we have been developing and testing process models which are based on principles derived from simple choice rules and heuristics.
- Ph.D. Experimental Psychology and Cognitive Science | University College London (UK) | 2014
- M.Sc. Research Methods in Psychology | University College London (UK) | 2010
- M.Sc. Cognitive Science | University of Athens (Greece) | 2009
- B.Sc. Psychology | University of Athens (Greece) | 2008