Predicting Tapping Coordination Between Partners With the Two-Frequency Resonance Map
Presenter Type
UNO Graduate Student (Masters)
Major/Field of Study
Biomechanics
Author ORCID Identifier
0000-0001-5630-2305
Advisor Information
Biomechanics, Assistant Professor
Location
CEC RM #116
Presentation Type
Oral Presentation
Start Date
22-3-2024 1:00 PM
End Date
20-3-2024 2:30 PM
Abstract
Individuals often coordinate their actions towards shared goals through a phenomenon known as inter-personal multifrequency coordination (IMC). Behaviors in IMC synchronize at varying tempos (p:q, e.g. 2:1). With any ratio combination being possible, some are more stable to perform than others. The Farey tree predicts the performance stability of these ratios by organizing them into levels based on a mathematical relationship. Using this model, intra-personal coordination has been studied and shows that higher level ratios (unstable) tend to transition to lower level ratios (stable) over time. However, similar research on IMC has not been conducted yet. Given the widespread applicability of this model, we hypothesized that bimanual IMC adheres to similar principles as intra-personal MC. 21 dyads faced each other, holding a horizontal bar with their dominant hand pronated, while extending their index finger. They performed 16 multifrequency ratios through 1-minute trials (1:1, 2:1, 3:1, 3:2, 4:1, 4:3, 5:1, 5:2, 5:3, 5:4, 7:2, 7:3, 7:4, 7:5, 8:3, 8:5). Each trial involved one member tapping to the 'p' frequency while the other synchronized to 'q', using individual headphones. Participants initially synchronized taps to their metronome for 15 seconds with closed eyes, then the metronome stopped, and they attempted to maintain their frequency while observing their partner for 45 seconds. Kinematic data were captured with the Optotrak motion tracking system (100Hz). Phase angles were extracted from finger oscillations in five 10-second windows, plotted against each other, and subjected to linear regression to determine performed ratios. A multilevel model was applied, with the frequency ratio as the dependent variable, and Window, Intended Ratio, and their interaction as fixed effects. The best model included Window and Intended Ratio fixed effects (χ2(15) =4208.82, p
Predicting Tapping Coordination Between Partners With the Two-Frequency Resonance Map
CEC RM #116
Individuals often coordinate their actions towards shared goals through a phenomenon known as inter-personal multifrequency coordination (IMC). Behaviors in IMC synchronize at varying tempos (p:q, e.g. 2:1). With any ratio combination being possible, some are more stable to perform than others. The Farey tree predicts the performance stability of these ratios by organizing them into levels based on a mathematical relationship. Using this model, intra-personal coordination has been studied and shows that higher level ratios (unstable) tend to transition to lower level ratios (stable) over time. However, similar research on IMC has not been conducted yet. Given the widespread applicability of this model, we hypothesized that bimanual IMC adheres to similar principles as intra-personal MC. 21 dyads faced each other, holding a horizontal bar with their dominant hand pronated, while extending their index finger. They performed 16 multifrequency ratios through 1-minute trials (1:1, 2:1, 3:1, 3:2, 4:1, 4:3, 5:1, 5:2, 5:3, 5:4, 7:2, 7:3, 7:4, 7:5, 8:3, 8:5). Each trial involved one member tapping to the 'p' frequency while the other synchronized to 'q', using individual headphones. Participants initially synchronized taps to their metronome for 15 seconds with closed eyes, then the metronome stopped, and they attempted to maintain their frequency while observing their partner for 45 seconds. Kinematic data were captured with the Optotrak motion tracking system (100Hz). Phase angles were extracted from finger oscillations in five 10-second windows, plotted against each other, and subjected to linear regression to determine performed ratios. A multilevel model was applied, with the frequency ratio as the dependent variable, and Window, Intended Ratio, and their interaction as fixed effects. The best model included Window and Intended Ratio fixed effects (χ2(15) =4208.82, p