LEARNING FROM OUR MISTAKES: HOW AND WHEN COMPLEX DECISIONS FAIL

Grant number: DP160102360 | Funding period: 2016 - 2019

Completed

Abstract

The project aims to develop a novel mathematical framework, augmented by simulations and a set of experiments, to study when and how people commit errors. The modern environment bombards us with signals, such as radio and television advertisements as we sit at home or warning lights and car honks as we cross the road. Despite years of psychological research, it is not entirely clear how efficiently people cope with increasing amounts of information nor is it clear whether they process multiple signals simultaneously (in parallel) or one after the other (serial). The project offers new measures, based on the rate and pattern of error responses, to supplement the commonly used response times. ..

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Related publications (12)

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Statistical analyses of the resilience function

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Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perceptual and Cognitive Mechanisms

DR Little, N Altieri, M Fifić, CT Yang

2017-04-07

© 2017 Elsevier Inc. All rights reserved. Systems Factorial Technology: A Theory Driven Methodology for the Identification of Perc..

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Can Confusion-Data Inform SFT-Like Inference? A Comparison of SFT and Accuracy-Based Measures in Comparable Experiments

Zachary L Howard, Ami Eidels, Noah H Silbert, Daniel R Little

2017-01-01

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Xue-Jun Cheng, Sarah Moneer, Nicole Christie, Daniel R Little

2017-01-01

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Historical Foundations and a Tutorial Introduction to Systems Factorial Technology

Nicholas Altieri, Mario Fific, Daniel R Little, Cheng-Ta Yang

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Logical-Rule Based Models of Categorization: Using Systems Factorial Technology to Understand Feature and Dimensional Processing

David W Griffiths, Anthea G Blunden, Daniel R Little

2017-01-01

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Stretching Mental Processes: An Overview of and Guide for SFT Applications

Mario Fific, Daniel R Little

2017-01-01

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Global Cue Inconsistency Diminishes Learning of Cue Validity

Tony SL Wang, Nicole Christie, Piers DL Howe, Daniel R Little

2016-11-11

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The appropriacy of averaging in the study of context effects

Shi Xian Liew, Piers DL Howe, Daniel R Little

2016-10-01

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Sequence-sensitive exemplar and decision-bound accounts of speeded-classification performance in a modified Garner-tasks paradigm

Daniel R Little, Tony Wang, Robert M Nosofsky

2016-09-01

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Selective attention modulates the effect of target location probability on redundant signal processing

Ting-Yun Chang, Daniel R Little, Cheng-Ta Yang

2016-08-01

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