Macquarie University

Data available upon request

Force-Matching Task Data Files and Analysis Code

posted on 2022-05-10, 01:24 authored by David McNaughtonDavid McNaughton, Mike JonesMike Jones, Alissa BeathAlissa Beath

The force-matching task integrates haptic technology and electrical engineering to determine an individual’s level of sensory attenuation to somatic stimuli. The task requires a detailed methodology to facilitate reliable and replicable estimates, and there has been a distinct lack of re-evaluation of the methodological processes related to this paradigm. In this task, subjects are asked to match a force delivered to their finger, either by pressing directly on their own finger with their other hand (known as the direct condition) or by controlling the device using an external potentiometer to control the force indirectly through a torque motor (known as the slider condition). We analysed N=138 subjects to determine 1) the optimal number of replications (2, 4, 6 or 8 replications) of the target force, 2) the optimal time-window (1-1.5s, 1.5-2s, 2-2.5s and 2.5-3s) to extract the estimate of sensory attenuation, 3) if participants’ performance during the task improved, worsened or was stable across the experimental period regardless of condition, and 4) if learning effects were related to psychological traits. 

.do script file can be read using STATA


David McNaughton was the recipient of the Chiropractic Australia PhD Research Scholarship. A portion of the funds was used to commission the construction of the force-matching device.


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