https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43643 Tue 27 Sep 2022 10:06:44 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:35430 Thu 27 Jul 2023 09:06:58 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32575 RT) based analyses. SFT is thus undeniably one of the most important contributions to the field of mathematical psychology. Although SFT is very powerful, it is, by definition, intrinsically linked to the research design that underpins its mathematics. Therefore, SFT cannot currently be applied in other frameworks, such as unique identification of signals from a range of response options. In this chapter we explore another powerful approach, General Recognition Theory ( Ashby & Townsend, 1986), that can be applied in such tasks. Specifically, we investigate the utility of applying GRT to ask similar questions that researchers may pose under SFT. We present data from three new experiments, based on similar SFT experiments, but focusing on accuracy measures and GRT analyses. We also provide a comprehensive set of simulation results to investigate the potential link between basic cognitive processing properties in SFT and GRT. We conclude by highlighting the need for future research to further combine both accuracy and RT approaches to allow a more comprehensive account of cognitive processing.]]> Thu 21 Jun 2018 11:39:19 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51057 Thu 17 Aug 2023 10:21:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26303 workload capacity of information processing of multidimensional perceptual stimuli. Capacity, which describes how the processing rate of the system changes as the number of stimulus dimensions or attributes is increased, is an important property of information processing systems. Inferences based on one measure of capacity, the capacity coefficient (Townsend and Nozawa, 1995), are typically computed by comparing the processing of single targets, which provide a measure of the baseline processing time of the system, to the processing of a double target. The single targets are typically assumed to be presented alone without any irrelevant distracting information. In this paper, we derive new capacity predictions for situations when distractor information is present. This extension reveals that, with distractors, the value of the capacity coefficient no longer provides unique diagnostic information about the underlying processing system. We further show how to rectify this situation by contrasting distractors of different discriminability.]]> Sat 24 Mar 2018 07:40:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46267 Mon 14 Nov 2022 15:00:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47903 Mon 06 Feb 2023 14:27:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48409 Fri 19 Apr 2024 14:25:52 AEST ]]>