2022
DOI: 10.3389/fpsyg.2022.897230
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Assessing Sensorimotor Synchronisation in Toddlers Using the Lookit Online Experiment Platform and Automated Movement Extraction

Abstract: Adapting gross motor movement to match the tempo of auditory rhythmic stimulation (sensorimotor synchronisation; SMS) is a complex skill with a long developmental trajectory. Drumming tasks have previously been employed with infants and young children to measure the emergence of rhythmic entrainment, and may provide a tool for identification of those with atypical rhythm perception and production. Here we describe a new protocol for measuring infant rhythmic movement that can be employed at scale. In the curre… Show more

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Cited by 5 publications
(5 citation statements)
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“…Our ongoing work will use the data in the current report to feed into models of language outcome, which may contribute vital knowledge regarding developmental pathways towards successful language acquisition. Whilst in this case measurements were derived using Motion Capture, which requires specialist equipment, the same analyses can be applied to 2D video data using AI technology (e.g., Rocha & Addyman, 2022), or even by measuring the sound signal produced by the drumming infant (e.g., Rocha et al., 2021). The current data can therefore provide distinct added value to neural measures in finding behavioural markers that are suitable for large scale, low cost, screening for intervention.…”
Section: Discussionmentioning
confidence: 99%
“…Our ongoing work will use the data in the current report to feed into models of language outcome, which may contribute vital knowledge regarding developmental pathways towards successful language acquisition. Whilst in this case measurements were derived using Motion Capture, which requires specialist equipment, the same analyses can be applied to 2D video data using AI technology (e.g., Rocha & Addyman, 2022), or even by measuring the sound signal produced by the drumming infant (e.g., Rocha et al., 2021). The current data can therefore provide distinct added value to neural measures in finding behavioural markers that are suitable for large scale, low cost, screening for intervention.…”
Section: Discussionmentioning
confidence: 99%
“…While our sample size is typical for lab-based infant visual attention experiments (e.g., Reynolds et al, 2013 ), completion of the study in the home environment may have further introduced noise in the data through environmental variability and the increased presence of distractions. In addition, the Lookit platform is still very new and only few studies using Lookit have been published thus far (e.g., Yoon and Frank, 2019 ; Lapidow et al, 2021 ; Rocha and Addyman, 2022 ). These studies were conducted with 2-year-olds and preschool children.…”
Section: Discussionmentioning
confidence: 99%
“…Using Lookit helps to recruit more diverse samples and its data quality allows for in-depth analysis of looking behavior ( Nelson and Oakes, 2021 ). Lookit has been utilized in diverse recent studies examining infant development (e.g., Nelson and Oakes, 2021 ; Luchkina and Waxman, 2022 ; Rocha and Addyman, 2022 ; Wang, 2022 ; Colomer and Woodward, 2023 ).…”
Section: Introductionmentioning
confidence: 99%
“…Participants completed the current study asynchronously utilizing the online platform Lookit (Scott and Schulz, 2017 ; Scott et al, 2017 ). Lookit has been used in a variety of recent infant studies conducted online (e.g., Nelson and Oakes, 2021 ; Luchkina and Waxman, 2022 ; Rocha and Addyman, 2022 ; Bursalioglu et al, 2023 ; Colomer and Woodward, 2023 ; Wang, 2023 ). The Lookit platform provided us the opportunity to obtain data from participants across the United States and allowed participants to flexibly complete the study on their own schedules.…”
Section: Discussionmentioning
confidence: 99%