Multimodal Deixis Gesture Coding Data with Reliability Annotations

Supplementary materials for a study on the effects of scale on multimodal deixis. The dataset includes gesture form coding from the study's first author and a reliability coder, along with annotation guidelines and an R script for statistical replication. The data was archived in the Texas Data Repository and last updated in March 2024.

Use Cases

• Replicate statistical analyses on gesture coding based on the included R script.
• Study inter-coder reliability in gesture annotation based on the datasets from two coders.
• Develop or refine annotation guidelines for multimodal deixis based on the provided documentation.
• Train models for gesture recognition or analysis based on the coded gesture forms.

Strengths

• Includes reliability coding from a second coder, which may support validation.
• Provides an R script for full replication of the paper's statistical analysis.
• Contains specific annotation guidelines, offering documentation for the coding scheme.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect the specific experimental context and participant bias inherent to the original study.

Provenance

Source

Kate Mesh (first author) and Nicolas Femia (reliability coder). Statistical analysis by Joost van de Weijier and Kate Mesh.

Collection Method

Data appears to be generated from a controlled study on multimodal deixis, with subsequent manual annotation.

Time Range

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Freshness

Last updated 2024-03 18 10:02:34; freshness should be verified.

Geography

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