Body Motion Dyadic Modes in Scientific Conversations

Motion data from 12 dyads of scientists recorded during face-to-face conversations using depth-sensing cameras. It was created to analyze dyadic modes and motion motifs, such as synchronized parallel torso motion and still segments. The data supports the study of individuality in motion modes, which was maintained for at least 6 months in a subset of 5 dyads.

Use Cases

• Identify motion motifs like synchronized parallel torso motion and still segments from dyadic motion data.
• Analyze dyad individuality in the use of motion modes across 12 recorded conversations.
• Study the temporal persistence of motion mode individuality using the 6-month follow-up data from 5 dyads.
• Apply the defined dyadic modes to understand joint action and coordination in conversational settings.

Strengths

• Data from 12 dyads provides a basis for analyzing interpersonal motion patterns.
• Includes longitudinal evidence from a subset of 5 dyads tracked for at least 6 months.
• Publicly available analysis tools accompany the motion dataset.

Limitations

• Small sample size of 12 dyads may limit statistical power and generalizability.
• Focus on scientific conversations may introduce demographic or contextual bias.
• Precise data dimensions, row counts, and file formats are unspecified.

Provenance

Source

Dryad

Collection Method

Recorded using two Microsoft Kinect depth-sensing cameras during scientific conversations.

Freshness

Last updated in June 2020.