2017
DOI: 10.3389/fnbot.2017.00021
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Communication and Inference of Intended Movement Direction during Human–Human Physical Interaction

Abstract: Of particular interest to the neuroscience and robotics communities is the understanding of how two humans could physically collaborate to perform motor tasks such as holding a tool or moving it across locations. When two humans physically interact with each other, sensory consequences and motor outcomes are not entirely predictable as they also depend on the other agent’s actions. The sensory mechanisms involved in physical interactions are not well understood. The present study was designed (1) to quantify h… Show more

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Cited by 34 publications
(30 citation statements)
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“…Side-by-side walking with hand contact is a common situation that we naturally experience since infancy. The relationship between force and motion represents an important means for communicating between biological agents (Rosenbaum et al, 2006 ; van der Wel et al, 2011 ; Ganesh et al, 2014 ; Roelofsen et al, 2016 ; Lanini et al, 2017 ; Mojtahedi et al, 2017 ; Sawers et al, 2017 ). The developed approach and metrics to assess the sensory and motor mechanisms underlying human-human interaction, and the directional forces and their variability in particular, can be used to successfully identify interactions during various locomotor tasks, such as haptic guidance during dimensional locomotion, unstable walking, etc.…”
Section: Discussionmentioning
confidence: 99%
“…Side-by-side walking with hand contact is a common situation that we naturally experience since infancy. The relationship between force and motion represents an important means for communicating between biological agents (Rosenbaum et al, 2006 ; van der Wel et al, 2011 ; Ganesh et al, 2014 ; Roelofsen et al, 2016 ; Lanini et al, 2017 ; Mojtahedi et al, 2017 ; Sawers et al, 2017 ). The developed approach and metrics to assess the sensory and motor mechanisms underlying human-human interaction, and the directional forces and their variability in particular, can be used to successfully identify interactions during various locomotor tasks, such as haptic guidance during dimensional locomotion, unstable walking, etc.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, the average gait speed increase for patients in the experimental group was 0.1 m/s, compared to an increase of 0.03 m/s for the control group. The reported minimal clinically meaningful change for post-acute stroke patients in literature is 0.06 m/s [4], a value reasonably greater than the one for chronic patients. At the moment, we cannot exclude that the larger increase of gait speed in the experimental group may be partially due to the overall small sample size and the lower gait speed shown by the experimental group at T1, compared to the control one.…”
mentioning
confidence: 69%
“…Relatively small interaction forces may communicate movement goals during cooperative physical interactions [3]. However, despite the importance of haptic interaction in general and the natural use of hand contact between humans during walking, few studies have investigated forces arising from physical interactions [3][4][5], as well as they were not quantified for walking. Such studies may also provide insights into the role of interaction forces in the dyad's ability to communicate and interpret intended motion during locomotion.…”
Section: Referencesmentioning
confidence: 99%
“…Joint actions from two randomly-paired individuals could potentially induce environmental uncertainty. Specifically, when two brains are controlling effectors (one upper limb each), it is expected that either brain cannot fully predict the action of the other (Mojtahedi et al, 2017 ). Therefore, each individual may treat the motor output on the other handle as partially environmental noise or uncertainty.…”
Section: Discussionmentioning
confidence: 99%