EVENT: Psychology colloquium: Prof John Dunn (Adelaide)
Monday 31st October 5-6pm in Bayliss MCS G.33, followed by post-talk drinks in the Psychology Courtyard (or, in bad weather, the Psychology Common Room, 2nd floor of main psychology building)
Presenter: Prof John Dunn (Adelaide)
Title: Testing models of decision making using state-trace analysis
Although research in experimental psychology is divided into many fields, research in these fields can be linked in two ways. First, much of it has focused on decision making wherein the different fields are primarily distinguished by the content of the decision made. I explore this observation in relation to my own work in the fields of recognition memory, categorization, reasoning, and judgement and choice, where decisions concern, respectively, whether or not an item was in a study list, is a member of this or that category, is necessarily true, or is preferable to a risky option. Second, these decisions are also theoretically linked. Across different fields, remarkably similar debates arise concerning whether decision making is based on one or more that one process, system, or source of information. I propose that these kinds of debate are most appropriately addressed using the methods of state-trace analysis. I outline this methodology, describe recent conceptual and statistical advances, and reviews its application to the abovementioned fields.
John Dunn is currently a professor of psychology at the University of Adelaide. Prior to this, he taught at the University of Western Australia in the School of Psychiatry and Clinical Neurosciences and at the University of Queensland. John's research interests are broadly in the field of cognitive psychology with a focus on memory, decision making, reasoning, and categorization. He has a particular interest in the development and application of mathematical models, including signal detection models and state-trace analysis. His current research involves the application of state-trace analysis to reasoning and risky decision making, and the application of signal detection models to the evaluation of eyewitness testimony.
Prof John Dunn
Bayliss Building MCS G. 33
: 6488 3267
Mon, 31 Oct 2016 17:00
Mon, 31 Oct 2016 18:00
Admin Psy <[email protected]>
Wed, 19 Oct 2016 12:03
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