Postural coordination in looking and tracking tasks

Oullier, Olivier; Bardy, Benoît G.; Stoffregen, Thomas A.; Bootsma, Reinoud J.

doi:10.1016/s0167-9457(02)00093-3

Cited by 86 publications

(81 citation statements)

References 33 publications

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“…PSO measures the percentage of movement frequencies common to both partners in a pair. Defined as the area of intersection between each participant's normalized spectral plots, the PSO is an indicator of the strength of the frequency entrainment between the two participants (Oullier, Bardy, Stoffregen, & Bootsma, 2002). Finally, a third measure, the peak frequency, defined as the frequency at the maximum of the (movement) FFT power spectrum, was computed for each participant in each segment of a trial.…”

Section: Discussionmentioning

confidence: 99%

“…Human movements can be affected unintentionally by the vision of an object oscillating in their environment as illustrated by experiments using a moving-room paradigm (e.g. Lee & Lishman, 1975;Oullier et al, 2002;Stoffregen, 1985). In addition, experimental data show that the mere observation of the movements of another person interferes with one's execution of a similar action (Kilner, Paulignan & Blakemore, 2003).…”

Section: Discussionmentioning

confidence: 99%

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Social coordination dynamics: Measuring human bonding

Oullier¹,

Guzman²,

Jantzen³

et al. 2008

Social Neuroscience

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Spontaneous social coordination has been extensively described in natural settings but so far no controlled methodological approaches have been employed that systematically advance investigations into the possible self-organized nature of bond formation and dissolution between humans. We hypothesized that, under certain contexts, spontaneous synchrony -a well-described phenomenon in biological and physical settings-could emerge spontaneously between humans as a result of information exchange. Here, a new way to quantify interpersonal interactions in real time is proposed. In a simple experimental paradigm, pairs of participants facing each other were required to actively produce actions, while provided (or not) with the vision of similar actions being performed by someone else. New indices of interpersonal coordination, inspired by the theoretical framework of coordination dynamics (based on relative phase and frequency overlap between movements of individuals forming a pair) were developed and used. Results revealed that spontaneous phase synchrony (i.e., unintentional in-phase coordinated behavior) between two people emerges as soon as they exchange visual information, even if they are not explicitly instructed to coordinate with each other. Using the same tools, we also quantified the degree to which the behavior of each individual remained influenced by the social encounter even after information exchange had been removed, apparently a kind of social memory.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Social coordination dynamics: Measuring human bonding

Oullier¹,

Guzman²,

Jantzen³

et al. 2008

Social Neuroscience

Self Cite

322

282

View full text Add to dashboard Cite

show abstract

“…10), and the relative phase between ankle and hip is difficult to estimate. This strong reduction of the ankle amplitude is typical of human phase transition [11], [12], [13]. The hip amplitude is larger than the ankle amplitude for the anti-phase mode as mentioned in [11], [12], [13].…”

Section: A Methodsmentioning

confidence: 75%

“…Following previous studies [11], [12], the experiment consists in tracking a moving target with the head while standing. Participants stood on a force platform in front of a physical target moved by a linear motor in antero-posterior direction, with the knees locked and the soles constantly in contact with the ground (Fig.…”

Section: A Methodsmentioning

confidence: 99%

A closed loop musculoskeletal model of postural coordination dynamics

Bonnet

Fraisse

Ramdani

et al. 2009

Proceedings of the 48h IEEE Conference on Decision and Control (CDC) Held Jointly With 2009 28th Chinese Control Conference

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Abstract-A closed-loop model with actuator dynamics and sensory feedback has been developed to capture the complex postural behaviors observed in a human head tracking task. In motor-control litterature, spindle feedback gains are scaled by the central nervous system to adapt muscle stiffness depending on the postural task. We propose to identify spindle reflex equivalent feedback gains for several target's frequency values. Comparison with experimental results on human shows the relevance of this modeling, since our musculoskeletal model is able to exhibit reasonably well the behavioral invariants observed in human postures.

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“…After searching the literature, we find that the spectral analysis techniques that Oullier et al (2002) and Oullier et al (2008) use to study the physical and social functions of human body movement are useful to our research goal. In Oullier et al 's (2002) work, subjects stood in a moving room and were to track a target attached to the wall.…”

Section: Spectral Analysis Methodologymentioning

confidence: 99%

Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance

Reitter²

2017

Proceedings of the 55th Annual Meeting of the Association For Computational Linguistics (Volume 1: Long Papers)

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We propose a perspective on dialogue that focuses on relative information contributions of conversation partners as a key to successful communication. We predict the success of collaborative task in English and Danish corpora of task-oriented dialogue. Two features are extracted from the frequency domain representations of the lexical entropy series of each interlocutor, power spectrum overlap (PSO) and relative phase (RP). We find that PSO is a negative predictor of task success, while RP is a positive one. An SVM with these features significantly improved on previous task success prediction models. Our findings suggest that the strategic distribution of information density between interlocutors is relevant to task success.

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Postural coordination in looking and tracking tasks

Cited by 86 publications

References 33 publications

Social coordination dynamics: Measuring human bonding

Social coordination dynamics: Measuring human bonding

A closed loop musculoskeletal model of postural coordination dynamics

Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance

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