A Division-of-Labor Hypothesis: Adaptations to Task Structure in Multiple-Cue Judgment
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Judgments that demand consideration of pieces of information in the environment occur repeatedly throughout our lives. One professional example is that of a physician that considers multiple symptoms to make a judgment about a patient’s disease. The scientific study of such, so called, multiple-cue judgments that involve multiple pieces of information (cues: e.g., symptoms) and continuous criterion (e.g., blood pressure) has been concerned with the statistical modelling of judgment data (see Brehmer, 1994; Cooksey, 1996; Hammond & Stewart, 2001). In this thesis behavioural experiments, cognitive modelling and brain imaging is used to investigate an adaptive division of labor between multiple memory representations in multiple-cue judgment. It is hypothesized that the additive, independent linear effect of each cue can be explicitly abstracted and integrated by a serial, additive judgment process (Einhorn, Kleinmuntz, & Kleinmuntz, 1979). It is further hypothesized that a variety of sophisticated task properties, like non-additive cue combination, nonlinear relations, and inter-cue correlation, are carried implicitly by exemplar-memory (Medin & Schaffer, 1978; Nosofsky, 1984; Nosofsky & Johansen, 2000). Study I and II investigates the effect of additive versus non-additive cue-combination and verify the predicted shift in cognitive representations as a function of the underlying cue-combination rule. The third study is a review that discusses the nature of these representational shifts; are they contingent upon early perceived learning performance instead of automatic and error-driven? Study IV verifies that this shift is evident also in the neural activity associated with making judgments in additive and non-additive tasks.
Place, publisher, year, edition, pages
Umeå: Psykologi , 2007. , 76 p.
Umeå studies in cognitive science, ISSN 1654-2568 ; 1654-2568 3
multiple-cue judgment, exemplar models, cue abstraction, cue-combination rule
Human Computer Interaction
IdentifiersURN: urn:nbn:se:umu:diva-1327ISBN: 978-91-7264-390-1OAI: oai:DiVA.org:umu-1327DiVA: diva2:140659
2007-09-21, Bt102, Beteendevetarhuset, 901 87, Umeå, 10:00 (English)
Lagnado, David, PhD
Juslin, Peter, Professor
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