User Behavior Analytics in Virtual Training Environments for Sensory Substitution Devices

Abstract

Virtual Training Environments (VTE) are crucial for the testing and development of Sensory Substitution Devices (SSD) in a safe, controlled manner. User Analytics serve to collect and analyze user behavior, to provide clear design decisions for improving SSdev development and implementation. We implemented an analytics framework capable of tracking user behavior, map real-time paths and aggregate data over multiple nominal testing sessions. Aggregated data is used to reveal patterns of use and match them to individual abilities and user groups.