Choosing SMI Experiment Suite HMD
This is SMI’s dedicated software package for immersive research in fields such as psychology, neuroscience, consumer research, linguistics and education. It is built on SMI Experiment Center – for designing and deploying experiments – and the analysis tool BeGaze.
The HMD version of this package has been created to meet the needs of immersive research using virtual reality hardware such as the HTC Vive, which has been modified with SMI eye tracking.
In addition to the existing features of Experiment Suite, the HMD version allows the user to –
- Retrospectively view and manipulate experiments in 360°or in ‘2D’ mode with the ability to tilt up and down and pan left and right.
- Define areas of interest in the full 360° field of view
- Work with video or still images as stimulus
- Analyze results as KPIs, scan paths and heat maps
Are you interested in learning more?
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.