Cognitive3D

Cognitive3D is a spatial analytics platform designed to cater to companies of all sizes, from small startups to large enterprises. The platform is specifically tailored for those developing VR/MR training simulations or research applications. With its comprehensive range of features, Cognitive3D serves a variety of professionals, including researchers, data analysts, business analysts, and UX designers. Industries that benefit from Cognitive3D include VR and MR development, gaming and entertainment, academic research, consumer research, and training simulation.

Key Features

SceneExplorer: Gain insights into user behavior by replaying immersive simulations in a one-to-one 3D format. Capture eye tracking, biometrics, and participant action data, and easily share sessions with annotations.

Dynamic Objects: Collect data from specific objects within the 3D environment to track participant interactions and create object heatmaps. Filter and compare objects based on properties and participant interactions using the Dynamic Objects Dashboard.

Objectives System: Evaluate user behavior within simulations based on predefined success criteria. Ingest spatial behavior data from participants and measure success by creating steps based on spatial behavior. Validate hypotheses, assess participant compliance and competence.

ExitPoll: Deliver questionnaires directly within VR/AR experiences for instant feedback. Capture participant emotions and opinions, aggregate results on the dashboard, and evaluate them as required steps within the Objectives System.

Scene Viewer: Visualize gaze, positioning, and event-based data to understand user behavior in 3D environments. Use the Slice Model to query and filter aggregate data based on specific properties.

After Action Review (AAR): Review and replay participant sessions to assess performance from multiple perspectives. Automatically assess objectives across user sessions, generate individual user reports, and evaluate performance and historical progress.

Aggregated 3D Insights: Analyze eye tracking, biometrics, and participant actions to identify patterns and trends. Measure metrics such as gaze duration, object interaction order, and completion rates to improve training outcomes and optimize 3D applications.

Intuitive Dashboard: Monitor app performance, optimize spatial usage, track user-object interactions, and evaluate user behavior at scale. Dive deeper into data with real-time visualization, create customizable objectives and reports, and share them with the team.

Eye Tracking: Capture and analyze user gaze behavior using eye tracking hardware. Evaluate situational awareness, measure user engagement, and understand user preferences. Customize eye tracking fixation algorithms based on research preferences.

Biometric Sensors: Capture physiological responses during VR/AR experiences using biometric sensors. Gain insights into user reactions and emotional responses, measure user engagement, and evaluate the impact of stimuli. Analyze biometric data alongside other spatial data for a comprehensive understanding of user behavior.