An experimental methodology to capture user and gameplay data tied to cybersickness

Abstract

Virtual reality (VR) and head-mounted displays are constantly gaining popularity in various fields such as education, military, entertainment, and bio/medical informatics. Although such technologies provide a high sense of immersion, they can also trigger symptoms of discomfort. This condition is called cybersickness (CS) and is quite popular in recent publications in the virtual reality context. We created and conducted an iterative evaluating protocol methodology and proposed two VR games (a racing game and a flight game). The recorded data can be used for further machine learning analysis tied to cybersickness.

Cybersickness Analysis Using Symbolic Machine Learning Algorithms

“…Proposing an experimental methodology to capture user and gameplay data tied to cybersickness. We created and conducted an iterative evaluating protocol methodology and proposed two VR games (a racing game and a flight game) for user and gameplay data acquisition [Porcino et al 2021e].…”