A Multimodal Dataset on Territorial Intrusiveness in Mixed Reality: Perceived Intrusivenes

48 participants completed a within-subjects mixed reality experiment using a Meta Quest Pro headset. The dataset includes perceived intrusiveness, physiological arousal, embodied avoidance behaviors, and cognitive performance metrics, all timestamp-synchronized at the trial level. Authored by Yuxuan Li and hosted on Harvard Dataverse, it was last updated in July 2026.

Use Cases

• Modeling perceived territorial intrusiveness based on physical territory type, interaction distance, and agent anthropomorphism.
• Correlating physiological arousal metrics like phasic GSR and HRV with subjective social presence and spatial ownership.
• Analyzing embodied avoidance behaviors such as gaze aversion ratio and headset retreat displacement in response to virtual agents.
• Investigating the impact of territorial intrusion on cognitive performance using Dual N-back task error rates and reaction times.

Strengths

• Data from 48 participants with balanced gender representation (24 males, 24 females).
• Includes synchronized multimodal data streams: subjective ratings, physiological signals, behavioral tracking, and cognitive metrics.
• Experimental design is a within-subjects 3 × 3 × 2 factorial, allowing for controlled comparisons.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The participant age range is limited to 19–32 years, which may affect generalizability.

Provenance

Source

Harvard Dataverse

Collection Method

Data collected from a controlled within-subjects mixed reality experiment using a Meta Quest Pro headset.

Freshness

Last updated 2026-07-15 05:15:48; freshness should be verified.