Dynamic Simulation and Static Matching for Action Prediction: Evidence From Body Part Priming

Springer, Anne; Brandstädter, Simone; Prinz, Wolfgang

doi:10.1111/cogs.12044

Cited by 11 publications

(27 citation statements)

References 42 publications

(110 reference statements)

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“…According to this research, both mnemonic processes (Wilcox and Schweinle, 2003; Keane and Pylyshyn, 2006; Bosco et al, 2012; Springer et al, 2013) and sensorimotor processes (e.g., Graf et al, 2007; Southgate et al, 2009; Elsner et al, 2013) have been advocated to assist movement observation. Studies on object motion suggest that infants linearly extrapolate the ongoing trajectory of observed movement (e.g., von Hofsten et al, 1998).…”

Section: Introductionmentioning

confidence: 99%

“…Linear extrapolation corresponds to working memory operations (e.g., Baddeley and Hitch, 1974; Pelphrey and Reznick, 2002) maintaining an internal representation of the target movement during occlusion that can be matched following the reappearance to generate predictions. In line with this assumption, infants need to plan and control their eye movements based on previously collected information in order to match pre- and post-occlusion input (Bennett and Barnes, 2003; Rosander and von Hofsten, 2004; Springer et al, 2013; Kwon et al, 2014; Bache et al, 2015). …”

Section: Introductionmentioning

confidence: 99%

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10-Month-Old Infants Are Sensitive to the Time Course of Perceived Actions: Eye-Tracking and EEG Evidence

et al. 2017

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Research has shown that infants are able to track a moving target efficiently – even if it is transiently occluded from sight. This basic ability allows prediction of when and where events happen in everyday life. Yet, it is unclear whether, and how, infants internally represent the time course of ongoing movements to derive predictions. In this study, 10-month-old crawlers observed the video of a same-aged crawling baby that was transiently occluded and reappeared in either a temporally continuous or non-continuous manner (i.e., delayed by 500 ms vs. forwarded by 500 ms relative to the real-time movement). Eye movement and rhythmic neural brain activity (EEG) were measured simultaneously. Eye movement analyses showed that infants were sensitive to slight temporal shifts in movement continuation after occlusion. Furthermore, brain activity associated with sensorimotor processing differed between observation of continuous and non-continuous movements. Early sensitivity to an action’s timing may hence be explained within the internal real-time simulation account of action observation. Overall, the results support the hypothesis that 10-month-old infants are well prepared for internal representation of the time course of observed movements that are within the infants’ current motor repertoire.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

10-Month-Old Infants Are Sensitive to the Time Course of Perceived Actions: Eye-Tracking and EEG Evidence

et al. 2017

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“…Accordingly, perceptual codes linked to the motor command that generated the same action are activated in the observer (Blakemore & Frith, 2005;Hommel et al, 2001;Wolpert, Doya, & Kawato, 2003), arguably in real time (Springer, Brandstädter, & Prinz, 2013a;Springer, Parkinson, & Prinz, 2013b). Perception and action are thought to exist in a common representational domain and exert bi-directional effects on each other (Prinz, 1997;Prinz & Hommel, 2002).…”

Section: Introductionmentioning

confidence: 99%

An action-incongruent secondary task modulates prediction accuracy in experienced performers: evidence for motor simulation

Mulligan

Lohse

Hodges

2015

Psychological Research

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We provide behavioral evidence that the human motor system is involved in the perceptual decision processes of skilled performers, directly linking prediction accuracy to the (in)ability of the motor system to activate in a response-specific way. Experienced and non-experienced dart players were asked to predict, from temporally occluded video sequences, the landing position of a dart thrown previously by themselves (self) or another (other). This prediction task was performed while additionally performing (a) an action-incongruent secondary motor task (right arm force production), (b) a congruent secondary motor task (mimicking) or (c) an attention-matched task (tone-monitoring). Non-experienced dart players were not affected by any of the secondary task manipulations, relative to control conditions, yet prediction accuracy decreased for the experienced players when additionally performing the force-production, motor task. This interference effect was present for 'self' as well as 'other' decisions, reducing the accuracy of experienced participants to a novice level. The mimicking (congruent) secondary task condition did not interfere with (or facilitate) prediction accuracy for either group. We conclude that visual-motor experience moderates the process of decision making, such that a seemingly visual-cognitive prediction task relies on activation of the motor system for experienced performers. This fits with a motor simulation account of action prediction in sports and other tasks, and alerts to the specificity of these simulative processes.

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“…For example, superior prediction performance has been reported for videos of self compared to other-generated actions, possibly because the used forward models are more accurate in the former case (Colling et al, 2014; Knoblich & Flach, 2001). On the other hand, there is evidence that subjects may use a visual matching strategy to predict actions, suggesting the possibility that the task does not necessarily require involvement of the motor system (Springer, Brandstädter, & Prinz, 2013; see also Springer & Prinz, 2010). …”

Section: Introductionmentioning

confidence: 99%

Critical Motor Involvement in Prediction of Human and Non-biological Motion Trajectories

Wit

Buxbaum

2017

J Int Neuropsychol Soc

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Objectives Adaptive interaction with the environment requires the ability to predict both human and non-biological motion trajectories. Prior accounts of the neurocognitive basis for prediction of these two motion classes may generally be divided into those that posit that non-biological motion trajectories are predicted using the same motor planning and/or simulation mechanisms used for human actions, and those that posit distinct mechanisms for each. Using brain lesion patients and healthy controls, this study examined critical neural substrates and behavioral correlates of human and non-biological motion prediction. Methods Twenty-seven left hemisphere stroke patients and 13 neurologically intact controls performed a visual occlusion task requiring prediction of pantomimed tool use, real tool use, and non-biological motion videos. Patients were also assessed with measures of motor strength and speed, praxis, and action recognition. Results Prediction impairment for both human and non-biological motion was associated with limb apraxia and, weakly, with the severity of motor production deficits, but not with action recognition ability. Furthermore, impairment for human and non-biological motion prediction was equivalently associated with lesions in the left inferior parietal cortex, left dorsal frontal cortex, and the left insula. Conclusions These data suggest that motor planning mechanisms associated with specific loci in the sensorimotor network are critical for prediction of spatiotemporal trajectory information characteristic of both human and non-biological motions.

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Dynamic Simulation and Static Matching for Action Prediction: Evidence From Body Part Priming

Cited by 11 publications

References 42 publications

10-Month-Old Infants Are Sensitive to the Time Course of Perceived Actions: Eye-Tracking and EEG Evidence

10-Month-Old Infants Are Sensitive to the Time Course of Perceived Actions: Eye-Tracking and EEG Evidence

An action-incongruent secondary task modulates prediction accuracy in experienced performers: evidence for motor simulation

Critical Motor Involvement in Prediction of Human and Non-biological Motion Trajectories

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