Commemorative essay. Ray L. Birdwhistell (1918-1994)

Kendon, Adam; Sigman, Stuart J.

doi:10.1515/semi.1996.112.3-4.231

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…As Kendon commented [40], Birdwhistell was probably ahead of his time. Advances in signal processing and computer vision techniques offer new opportunities to examine his theory in practice.…”

Section: Related Workmentioning

confidence: 99%

Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction

Xiao

Georgiou

Baucom

et al. 2015

IEEE Trans. Multimedia

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This paper presents a computational study of head motion in human interaction, notably of its role in conveying interlocutors’ behavioral characteristics. Head motion is physically complex and carries rich information; current modeling approaches based on visual signals, however, are still limited in their ability to adequately capture these important properties. Guided by the methodology of kinesics, we propose a data driven approach to identify typical head motion patterns. The approach follows the steps of first segmenting motion events, then parametrically representing the motion by linear predictive features, and finally generalizing the motion types using Gaussian mixture models. The proposed approach is experimentally validated using video recordings of communication sessions from real couples involved in a couples therapy study. In particular we use the head motion model to classify binarized expert judgments of the interactants’ specific behavioral characteristics where entrainment in head motion is hypothesized to play a role: Acceptance, Blame, Positive, and Negative behavior. We achieve accuracies in the range of 60% to 70% for the various experimental settings and conditions. In addition, we describe a measure of motion similarity between the interaction partners based on the proposed model. We show that the relative change of head motion similarity during the interaction significantly correlates with the expert judgments of the interactants’ behavioral characteristics. These findings demonstrate the effectiveness of the proposed head motion model, and underscore the promise of analyzing human behavioral characteristics through signal processing methods.

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Section: Related Workmentioning

confidence: 99%

Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction

Xiao

Georgiou

Baucom

et al. 2015

IEEE Trans. Multimedia

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show abstract

“…Studies that have shortly followed have shown a relation between postural styles and personality characteristics (Allport, 1937;Lowen, 1958), motivations, attitudes, and intentions that may not be spoken (Deutsch, 1947(Deutsch, , 1952Fromm-Reichmann, 1950) From an anthropological stand-point, it was hypothesized that body movements are patterned by culturally specific interactions and cannot be assessed as universal (Birdwhistell, 1952;Kendon & Sigman, 1996).…”

Section: Kinesicsmentioning

confidence: 99%

Sending all the right signals

Francu¹

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Non-verbal communication

Payrató¹

2003

Handbook of Pragmatics

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Commemorative essay. Ray L. Birdwhistell (1918-1994)

Cited by 6 publications

References 10 publications

Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction

Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction

Sending all the right signals

Non-verbal communication

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