What is Mangold INTERACT video coding software
Mangold INTERACT software - A quick overview of Mangold INTERACT, covering video playback, coding systems, transcripts, data analysis, state-space grids, and rater reliability.
Research Blog
Expert articles on observational research using Mangold INTERACT, Mangold Observation Studio, and AV systems for behavioral analysis.
Adjust Multimedia Timing in Mangold INTERACT
Learn how to shift the times of your media files to link multiple files or perform behavioral coding with time-of-day information.
Educational Research - First UNIKlasse in Saxony
How the first UNIKlasse in Saxony uses VideoSyncPro and INTERACT for classroom observation, video analysis, and research-based teacher education at TU Chemnitz.
Finding Co-Occurring Events in INTERACT - A Complete Tutorial Guide
Learn how to use INTERACT’s co-occurrence analysis to automatically detect and code overlapping behaviors, saving time and improving research accuracy.
How to Synchronize and Analyze Multiple Media Files in Mangold INTERACT
Learn how to open, sync, and manage multiple media files in Mangold INTERACT for accurate behavioral research and video analysis.
Creating an Observational Research Lab
A technical guide to building a modern observational research lab: multimodal data collection, sensor integration, data synchronization, behavioral research software, and the key challenges of designing a state-of-the-art behavioral lab.
Where Observation Labs Generate Benefits
Discover where modern observational research labs create measurable value - from usability testing and UX research to clinical behavioral analysis, HMI studies, cognitive load measurement, and medical simulation training.
Data Types and Formats in Observational Research
A practical guide to data formats in observational research: MP4 video, WAV/MP3 audio, CSV/TSV event logs, EDF physiological data, and HDF5 - what each format is best suited for and why TSV beats CSV.
Navigating Multimodal Data in Observation Labs | Mangold
Explore multimodal data challenges in observation labs, from synchronization and sampling-rate mismatch to annotation, statistical modeling and machine learning.
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