Simulating and predicting others’ actions

Springer, Anne; Hamilton, Antonia F. de C.; Cross, Emily S.

doi:10.1007/s00426-012-0443-y

Cited by 12 publications

(11 citation statements)

References 41 publications

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“…In addition it is consistent with the kinematical correlations found between cooperative agents (Georgiou et al 2007) and with the hypothesis of motor resonance . The latter posits that when an individual observes other people’s movements, his/her brain runs an internal motor simulation, used to understand the other’s people intentions and to predict the future course of the observed action (Rizzolatti and Craighero 2004; Springer et al 2012). …”

Section: Discussionmentioning

confidence: 99%

Humans adjust their grip force when passing an object according to the observed speed of the partner’s reaching out movement

et al. 2018

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The way an object is released by the passer to a partner is fundamental for the success of the handover and for the experienced fluency and quality of the interaction. Nonetheless, although its apparent simplicity, object handover involves a complex combination of predictive and reactive control mechanisms that were not fully investigated so far. Here, we show that passers use visual-feedback based anticipatory control to trigger the beginning of the release, to launch the appropriate motor program, and adapt such predictions to different speeds of the receiver’s reaching out movements. In particular, the passer starts releasing the object in synchrony with the collision with the receiver, regardless of the receiver’s speed, but the passer’s speed of grip force release is correlated with receiver speed. When visual feedback is removed, the beginning of the passer’s release is delayed proportionally with the receiver’s reaching out speed; however, the correlation between the passer’s peak rate of change of grip force is maintained. In a second study with 11 participants receiving an object from a robotic hand programmed to release following stereotypical biomimetic profiles, we found that handovers are experienced as more fluent when they exhibit more reactive release behaviours, shorter release durations, and shorter handover durations. The outcomes from the two studies contribute understanding of the roles of sensory input in the strategy that empower humans to perform smooth and safe handovers, and they suggest methods for programming controllers that would enable artificial hands to hand over objects with humans in an easy, natural and efficient way.

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Section: Discussionmentioning

confidence: 99%

Humans adjust their grip force when passing an object according to the observed speed of the partner’s reaching out movement

et al. 2018

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“…To successfully align ourselves with others in space and time, we need to rely on assumptions about the other person's internal processes. Current answers to this question propose that predictive processes are at the core of successful social interactions (Graziano, 2013;Manera, Schouten, Verfaillie, & Becchio, 2013;Ramnani & Miall, 2004;Sparenberg, Springer, & Prinz, 2012;Springer, Hamilton, & Cross, 2012). The idea is that we use our own cognitive resources to build mental models of other people's cognitions.…”

Section: Hierarchical Predictive Approach To Joint-actionmentioning

confidence: 99%

Predictive joint-action model: A hierarchical predictive approach to human cooperation

2017

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Research in a number of related fields has recently begun to focus on the perceptual, cognitive, and motor workings of cooperative behavior. There appears to be enough coherence in these efforts to refer to the study of the mechanisms underlying human cooperative behavior as the field of joint-action (Knoblich, Butterfill, & Sebanz, 2011; Sebanz, Bekkering, & Knoblich, 2006). Yet, the development of theory in this field has not kept pace with the proliferation of research findings. We propose a hierarchical predictive framework for the study of joint-action that we call the predictive joint-action model (PJAM). The presentation of this theoretical framework is organized into three sections. In the first section, we summarize hierarchical predictive principles and discuss their application to joint-action. In the second section, we juxtapose PJAM's assumptions with empirical evidence from the current literature on joint-action. In the third section, we discuss the overall success of the hierarchical predictive approach to account for the burgeoning empirical literature on joint-action research. Finally, we consider the model's capacity to generate novel and testable hypotheses about joint-action. This is done with the larger goal of uncovering the empirical and theoretical pieces that are still missing in a comprehensive understanding of joint action.

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“…This visual function of motor control is reflected in motorvisual facilitation effects in dual tasks which apply biological motion displays (Miall et al, 2006). In particular, metric positional prediction of future visual movement states is facilitated when compatible movements are planned or executed (Graf et al, 2007; Springer et al, 2011, 2012; Saygin and Stadler, 2012; Stadler et al, 2012). …”

Section: How Are Perceptual Effect Representations Processed In Actiomentioning

confidence: 99%

Investigating Ideomotor Cognition with Motorvisual Priming Paradigms: Key Findings, Methodological Challenges, and Future Directions

Thomaschke¹

2012

Front. Psychology

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Ideomotor theory claims that perceptual representations of action-effects are functionally involved in the planning of actions. Strong evidence for this claim comes from a phenomenon called motorvisual priming. Motorvisual priming refers to the finding that action planning directly affects perception, and that the effects are selective for stimuli that share features with the planned action. Motorvisual priming studies have provided detailed insights into the processing of perceptual representations in action planning. One important finding is that such representations in action planning have a categorical format, whereas metric representations are not anticipated in planning. Further essential findings regard the processing mechanisms and the time course of ideomotor cognition. Perceptual representations of action-effects are first activated by action planning and then bound into a compound representation of the action plan. This compound representation is stabilized throughout the course of the action by the shielding of all involved representations from other cognitive processes. Despite a rapid growth in the number of motorvisual priming studies in the current literature, there are still many aspects of ideomotor cognition which have not yet been investigated. These aspects include the scope of ideomotor processing with regard to action types and stimulus types, as well as the exact nature of the binding and shielding mechanisms involved.

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Simulating and predicting others’ actions

Cited by 12 publications

References 41 publications

Humans adjust their grip force when passing an object according to the observed speed of the partner’s reaching out movement

Humans adjust their grip force when passing an object according to the observed speed of the partner’s reaching out movement

Predictive joint-action model: A hierarchical predictive approach to human cooperation

Investigating Ideomotor Cognition with Motorvisual Priming Paradigms: Key Findings, Methodological Challenges, and Future Directions

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