2015
DOI: 10.1109/taffc.2015.2422702
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Head Movement Dynamics during Play and Perturbed Mother-Infant Interaction

Abstract: We investigated the dynamics of head movement in mothers and infants during an age-appropriate, well-validated emotion induction, the Still Face paradigm. In this paradigm, mothers and infants play normally for 2 minutes (Play) followed by 2 minutes in which the mothers remain unresponsive (Still Face), and then two minutes in which they resume normal behavior (Reunion). Participants were 42 ethnically diverse 4-month-old infants and their mothers. Mother and infant angular displacement and angular velocity we… Show more

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Cited by 41 publications
(22 citation statements)
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“…The amount of head movement (i.e., head scanning), was quantified using the root mean square (RMS) of the head angular velocity. [22][23][24] For each trial, we calculated the RMS of the head velocity using the following equation:…”
Section: Head Motion Recordingmentioning
confidence: 99%
“…The amount of head movement (i.e., head scanning), was quantified using the root mean square (RMS) of the head angular velocity. [22][23][24] For each trial, we calculated the RMS of the head velocity using the following equation:…”
Section: Head Motion Recordingmentioning
confidence: 99%
“…Automatic computational methods theoretically offer the possibility to extract and analyse communication of several partners simultaneously by taking an integrative perspective, considering the multimodal nature and dynamics of social signals/behaviours, and measuring synchrony between partners' actions. 19 Few seminal studies tried to apply social signal processing to mother–infant interaction focusing on head movements, 20 facial expression, 21 motherese 22 and speech turn. 1 , 8 In the era of RGB-D sensors (for example, Microsoft Kinect), new body movement cues have been proposed based on the online extraction of the skeleton.…”
Section: Introductionmentioning
confidence: 99%
“…The promise of applying BSP to characterize social interactions in ASD (or indeed in conversations among typical speakers) lies in the potential for modeling how interlocutors adaptively modulate the temporal dynamics of prosody and turn-taking behaviors over the course of an interaction and how these modulations influence the behavioral constructs that observers abstract from the behavior. The development of BSP models has enabled the estimation of behavioral constructs such as a child's level of engagement as it varies over time (Gupta et al, 2016), affective synchrony between child and parent (Hammal, Cohn, & Messinger, 2015), and affective synchrony between child and psychologist (Bone, Lee, Potamianos, & Narayanan, 2014). These models provide the potential to estimate abstract behavioral constructs that provide reliable and clinically meaningful measures of social interaction.…”
Section: Social Interaction In Autismmentioning
confidence: 99%