A Time-Varying Measure of Dyadic Synchrony for Three-Dimensional Motion
Bibliographic Data
| ID | 19290132 |
|---|---|
| Authors | Philip T Reiss (0000-0002-8491-7080, University of Haifa, corresponding author), Hila Z Gvirts (0000-0002-3625-5959, Ariel University), Rotem Bennet (Technion – Israel Institute of Technology), Alisa Kanterman (0000-0003-1571-2652, University of Haifa), Nardine Fahoum (0000-0003-4482-2367, University of Haifa), Simone Shamay-Tsoory (0000-0003-1088-5212, University of Haifa), Simone G Shamay-Tsoory (University of Haifa) |
| Year | 2019 |
| Volume | 54 |
| Issue | 4 |
| Pages | 530-541 |
| Publication date | 2019-07-04 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2018.1547874 |
| PMID | 30957565 |
| OpenAlex | W2899244124 |
| Language | EN |
| Citations received | 3 |
| References cited | 38 |
We propose a novel approach to the analysis of synchronized three-dimensional motion in dyads. Motion recorded at high time resolution, as with a gaming device, is preprocessed in each of the three spatial dimensions by spline smoothing. Synchrony is then defined, at each time point, as the cosine between the two individuals' estimated velocity vectors. The approach is extended to allow a time lag, allowing for the analysis of leader-follower dynamics. Mean square cosine over the time range is proposed as a scalar summary of dyadic synchrony, and this measure is found to be positively associated with cognitive empathy
Data mining · Measure (data warehouse) · Motion (physics) · Motion analysis · Scalar (mathematics) · Smoothing · Statistics · Trigonometric functions · Action Observation and Synchronization · Artificial Intelligence · Computer Science · Mathematics · Neural dynamics and brain function · Neural Networks and Reservoir Computing
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| Citations per year | 0.6 |
|---|---|
| Citation span | 2021 - 2024 (4) |
| Highly cited | No |