Levity: a virtual reality system that responds to cognitive load

Lynda Gerry, Barrett Ens, Adam Drogemuller, Bruce Thomas, Mark Billinghurst

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

7 Citations (Scopus)


This paper presents the ongoing development of a proof-of-concept, adaptive system that uses a neurocognitive signal to facilitate efficient performance in a Virtual Reality visual search task. The Levity system measures and interactively adjusts the display of a visual array during a visual search task based on the user’s level of cognitive load, measured with a 16-channel EEG device. Future developments will validate the system and evaluate its ability to improve search efficiency by detecting and adapting to a user’s cognitive demands.

Original languageEnglish
Title of host publicationExtended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
EditorsAnna Cox, Mark Perry
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
ISBN (Electronic)9781450356206, 9781450356213
Publication statusPublished - 2018
Externally publishedYes
EventInternational Conference on Human Factors in Computing Systems 2018 - Palais des Congrès de Montréal, Montreal, Canada
Duration: 21 Apr 201826 Apr 2018
Conference number: 36th
https://dl.acm.org/doi/proceedings/10.1145/3173574 (Proceedings)


ConferenceInternational Conference on Human Factors in Computing Systems 2018
Abbreviated titleCHI 2018
Internet address


  • Brain-Computer Interface
  • Cognitive Load
  • Virtual Reality
  • Visual Search Task

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