Use TrackLab to quantify spatial behavior and gain insights into consumer behavior, place-preference, social interactions, and many more parameters. You can also analyze your data for individual subjects and experimental groups.
TrackLab offers different types of heatmaps to visualize place-preference behaviors. For example, you can use a density plot to show place-preference across a site, while a place-time preference plot shows at which times people prefer to visit a specific area.
Movement is measured with parameters of velocity, distance, and type of activity (standing, walking, running). You can calculate results for the complete data selection or choose the time interval you want to review.
Areas of interest
You can pan and zoom across the map and draw custom regions of interest. This way, you can get the frequencies and durations of subject visits for each of the defined areas. Ideal for when you want to study different floor concepts of shops, classrooms, or hospital rooms.
Analyze social behavior to gain insights in group relations. TrackLab offers two social behavior indicators: basic proximity to any other person (frequencies and duration), and a social network analysis that calculates the pair relations within a group.
Individual and group behavior
You can examine the behavior of individuals in detail and add characteristics information for each subject. TrackLab also offers the option to explore results for experimental groups. When you add information to define the groups in the Variables module, TrackLab automatically calculates group statistics in the Group Results module.
Choose your time interval
Examine results for a complete selected time interval, or view results per minute, hour, day, or per larger intervals. This way, you can analyze changes over time and gain meaningful insights.
The TrackLab software is based on an ‘open solution’ concept, meaning that processes are transparent. Furthermore, all data can be exported for custom processing with your preferred mathematical or statistical tool.