ArticleBehavior research methods2022
REPP: A robust cross-platform solution for online sensorimotor synchronization experiments.
Article in Behavior research methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Musical rhythm abilities and risk for developmental speech-language problems and disorders: epidemiological and polygenic associations.Nature communications · 2025Pooled it
- Cortico-striatal network architecture shapes rhythmic biases in music.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Distinct Rhythmic Competencies Identified via Internet-Based Assessment.Annals of the New York Academy of Sciences · 2026Article
- Rooks (Corvus frugilegus) can show spontaneous vocal flexibility when exposed to dynamically changing rhythmic sounds.Animal cognition · 2026Article
- Humans can find rhythm in randomly timed sounds.Royal Society open science · 2025Article
- Neural Correlates of Rhythm in Post-Stroke Aphasia.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Article
- Commonality and variation in mental representations of music revealed by a cross-cultural comparison of rhythm priors in 15 countries.Nature human behaviour · 2024Article
- Mobile version of the Battery for the Assessment of Auditory Sensorimotor and Timing Abilities (BAASTA): Implementation and adult norms.Behavior research methods · 2024Article
- Tapping to drumbeats in an online experiment changes our perception of time and expressiveness.Psychological research · 2024Article
- Genome-wide association study of musical beat synchronization demonstrates high polygenicity.Nature human behaviour · 2022Article
- FORUM: Remote testing for psychological and physiological acoustics.The Journal of the Acoustical Society of America · 2022Article
- You got rhythm, or more: The multidimensionality of rhythmic abilities.Attention, perception & psychophysics · 2022Article
- Editorial: Social Convergence in Times of Spatial Distancing: The Role of Music During the COVID-19 Pandemic.Frontiers in psychology · 2022Article
- Slow update of internal representations impedes synchronization in autism.Nature communications · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sensorimotor synchronization (SMS), the rhythmic coordination of perception and action, is a fundamental human skill that supports many behaviors, including music and dance (Repp, 2005; Repp & Su, 2013). Traditionally, SMS experiments have been performed in the laboratory using finger tapping paradigms, and have required equipment with high temporal fidelity to capture the asynchronies between the time of the tap and the corresponding cue event. Thus, SMS is particularly challenging to study with online research, where variability in participants' hardware and software can introduce uncontrolled latency and jitter into recordings. Here we present REPP (Rhythm ExPeriment Platform), a novel technology for measuring SMS in online experiments that can work efficiently using the built-in microphone and speakers of standard laptop computers. In a series of calibration and behavioral experiments, we demonstrate that REPP achieves high temporal accuracy (latency and jitter within 2 ms on average), high test-retest reliability both in the laboratory (r = .87) and online (r = .80), and high concurrent validity (r = .94). We also show that REPP is fully automated and customizable, enabling researchers to monitor experiments in real time and to implement a wide variety of SMS paradigms. We discuss online methods for ensuring high recruiting efficiency and data quality, including pre-screening tests and automatic procedures for quality monitoring. REPP can therefore open new avenues for research on SMS that would be nearly impossible in the laboratory, reducing experimental costs while massively increasing the reach, scalability, and speed of data collection.
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