SMI Experiment Suite HMD

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Design, deploy and analyze data from immersive experiments with software functionalities especially developed to work with eye tracking virtual reality headsets.

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We help you choose the best eye tracking solution for your application field.

Features

Design complex experimental scenes for use in modified VR HMDs. Control the experiment flow by assigning tasks to selected participants, by using randomization options and trigger AOIs. Specify factors for precise analysis with stimulus conditions.

Collect eye and gaze data and observe the experiment and annotate behavior in real time with the annotation feature. Synchronize with biometric sensors such as EEG and GSR by sending TTL triggers and software messages.

SMI BeGaze is the trusted analysis component of SMI Experiment Suite HMD. It provides a comprehensive spectrum of smart functions for analysis and visualization of the data collected in SMI Experiment Center, or in other popular stimulus software via SDK

Results can be visualized by, for example, scan paths or heat maps and can be exported as a video or an image for documentation and presentations. Static Areas of Interest (AOIs) and Dynamic AOIs for video stimuli allow aggregated statistics and visualizations for multiple participants over the entire recording. Key Performance Indicators (KPIs) provide both quantitative and qualitative information on visual behavior and impact for each AOI.

Using the proportion of looks analysis allows aggregation and comparison of hits on areas of interest, across stimuli and participants, and of AOIs by flexibly selecting parameters and building up comparisons step-by-step. AOI Sequence Chart shows the temporal order at which AOIs were hit by a participant. Gridded AOIs allow for visualization of statistic parameters and provide quick access to scan path comparisons.

SMI’s powerful statistics allows configuration and export of statistical data tables of more than 100 statistical variables. All metrics can be exported to file with just one click and later analyzed in R, SPSS or any other statistics program.

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