Behavioral and Kinematic Outcomes of Adaptive Pauses in VR Training for Autistic Children

Forty-six autistic children with level 1 ASD participated in a randomized VR social cognition trial comparing four adaptive pause methods. The dataset includes continuous behavioral and kinematic recordings from VR sessions, alongside pre- and post-intervention social cognition assessments. Author Luna Maddalon published the results on figshare in 2026 under a CC-BY-4.0 license.

Use Cases

• Comparing the efficacy of rule-based, human-triggered, and algorithm-driven adaptive pauses based on the described intervention conditions.
• Analyzing trends in behavioral performance across VR training sessions as mentioned in the results.
• Investigating kinematic changes like acceleration and displacement as indicators of participant comfort.
• Replicating the study's main finding of social-cognitive improvement using the ToMTB assessment tool.

Strengths

• Dataset is associated with a structured clinical trial involving 46 participants across four experimental conditions.
• Includes multiple data modalities: continuous behavioral indices, kinematic data, and standardized pre/post social cognition assessments.
• Published under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analysis.
• The study's conclusions regarding adaptive pause efficacy are noted as preliminary due to limited statistical power.

Provenance

Source

Luna Maddalon via figshare

Collection Method

Data collected from a randomized controlled trial of a VR-based social cognition intervention.

Freshness

Last updated 2026-05-29 06:13:26; freshness should be verified.