Understanding interactions has never been easier
Scenarios
Large amounts of (complex) interactions to be captured
for insights and study of interaction patterns
Interlumo manages manly
Timeseries data in tabular form
Data aggregates in JSON format
International 3D standards
(glTF, Cesium 3D Tiles)
Kapto
Katpo service allows to record large amounts of users’ interactions performed using remote applications or equipment (e.g., interactive 3D applications in public exhibits, immersive devices in research infrastructures or labs, etc.). It was designed as a scalable service able to handle and track incoming interaction states via network connection, while storing them on a dedicated hub (or multiple hubs) in the H2IOSC federation.
Procezo
The second stage offers remote analysts a set of web tools to process captured records through process methods (filter and clean) and aggregate methods. Aggregate methods allow the generation of data aggregates with the use of machine learning (ML) models.
Merkhet
The final stage allows users to visually and immersively inspect such data, making it easier to interpret and study user behavior. This can be done collaboratively with other remote analysts online, directly through a standard web browser, including advanced features to annotate volumetric data and collaborative tools.