BWDAT

BWDAT collects and synchronizes physiological signals from smartwatches, user interactions with video-on-demand interfaces, and self-reported data to analyze binge-watching behavior in naturalistic environments.

Key Features:

• Multimodal Data Collection: Integrates physiological measurements from smartwatches, interaction logs from video-on-demand interfaces, and self-reported information.
• User Interaction Monitoring: Captures viewer interactions with streaming platforms such as Netflix through a Chrome Extension.
• Physiological Signal Acquisition: Records physiological responses during viewing sessions using smartwatch-based sensors.
• Automated Data Analysis Reports: Generates automated reports summarizing collected behavioral and physiological data.
• Data Synchronization: Aligns physiological measurements with interaction logs and self-reported data for integrated analysis.

Scientific Applications:

• Binge-Watching Behavior Analysis: Enables investigation of behavioral patterns and physiological responses associated with binge-watching.
• Media Consumption Research: Supports studies of user interaction patterns with video-on-demand platforms in naturalistic environments.
• Human–Computer Interaction Studies: Facilitates analysis of user engagement and interaction behavior during digital media consumption.

Methodology:

BWDAT collects smartwatch physiological signals, logs user interactions with video-on-demand platforms through a Chrome Extension, integrates self-reported information, and synchronizes these data streams to generate automated analysis reports.