2018
DOI: 10.1037/xhp0000516
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Atypical biological kinematics are represented during observational practice.

Abstract: The present study investigated the effect of stimulus-response compatibility on the representation of atypical biological kinematics during observational practice. A compatible group observed an atypical model that moved rightward, whereas an incompatible group observed an atypical model that moved leftward. Both groups were instructed to observe the model with the intention to later reproduce the movement trajectory. This was examined in a posttest where participants were asked to move rightward with a kinema… Show more

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Cited by 4 publications
(3 citation statements)
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“…Here, we present an application-level solution for Bluetooth-based device synchronization in a setup featuring multiple unsynchronized KiDs. Measuring and quantifying complex, naturalistic, unrestrained, and minimally shaped behavior presents formidable conceptual and technical challenges, which are only just beginning to be addressed in behavioral and neuroscience research 14,[18][19][20][21] (see Supplementary Discussion, "Motor behavior or sensorimotor analysis"). To tackle this challenge, it is often crucial to collect synchronized responses from multiple devices.…”
Section: Discussionmentioning
confidence: 99%
“…Here, we present an application-level solution for Bluetooth-based device synchronization in a setup featuring multiple unsynchronized KiDs. Measuring and quantifying complex, naturalistic, unrestrained, and minimally shaped behavior presents formidable conceptual and technical challenges, which are only just beginning to be addressed in behavioral and neuroscience research 14,[18][19][20][21] (see Supplementary Discussion, "Motor behavior or sensorimotor analysis"). To tackle this challenge, it is often crucial to collect synchronized responses from multiple devices.…”
Section: Discussionmentioning
confidence: 99%
“…The experiment consisted of a 3‐phase adapted version of an observational practice protocol used by Foster et al (2018), whereby participants performed a baseline, observational practice, and a post‐test (see Figure 1b). The baseline consisted of 10 imitation trials, where on each trial participants were instructed to observe the horizontal trajectory of the typical model with the intention to overtly reproduce the movement following action‐observation.…”
Section: Methodsmentioning
confidence: 99%
“…Using these moments, we then extracted the time-series position data for each baseline, and post-test trial. The position data for each trial were processed using a low-pass 4th order autoregressive filter with an 8 Hz cut-off (Foster et al, 2018(Foster et al, , 2020b. The filter minimized measurement noise in the experimental time-series data before differentiation using a 2-point central difference algorithm to obtain velocity.…”
Section: Hand Movement Datamentioning
confidence: 99%