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Universidade Federal Fluminense

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1 document by Universidade Federal Fluminense in the Game Industry Library, the newest “Identifying Cybersickness Causes in Virtual Reality Games Using Symbolic Machine Learning Algorithms” (2021).

Documents

Cover of Identifying Cybersickness Causes in Virtual Reality Games Using Symbolic Machine Learning Algorithms
Whitepaper13 pages

Identifying Cybersickness Causes in Virtual Reality Games Using Symbolic Machine Learning Algorithms

Virtual reality developers face a persistent challenge in mitigating cybersickness, a condition that significantly hinders user retention and accessibility.

  • The primary mechanical triggers for cybersickness are exposure duration, rapid rotation, and sudden acceleration.
  • Flight-based simulations induce symptoms more frequently than racing titles, indicating that genre choice directly impacts user comfort.
  • Novice users exhibit higher sensitivity to sensory conflicts in virtual environments compared to experienced players, necessitating mechanics tailored to user proficiency.
Entertainment ComputingDec 2021

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