Speaker Head Motion Data Under Third-Person Observation During Dyadic Communication

Time-series data of a speaker's head motion collected during a dyadic communication experiment. The dataset, authored by Shun-ichi Amano and shared on figshare, investigates the influence of third-person observation on nonverbal role performance. The analysis includes features such as movement peaks and power spectral density derived from the head motion recordings.

Use Cases

• Analyzing the effect of social observation on movement patterns based on the number of movement peaks.
• Comparing local versus global organization of bodily movement over time based on autoregressive coefficients.
• Modeling the impact of socially defined role expectations on physical activity during speech.

Strengths

• Data originates from a controlled experiment designed to test a specific social hypothesis.
• Analysis includes both time-domain (movement peaks) and frequency-domain (power spectral density) features.
• Dataset is openly shared under a CC-BY-4.0 license.

Limitations

• The dataset size is 257.4 KB, indicating a very limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Collected from a laboratory experiment where a moderator observed dyadic communication.

Freshness

Last updated 2026-05-07 05:42:14; freshness should be verified.