Exploring Natural Interactions for Implicit User Authentication in VR

Woojin Jeon, Chaejin Lim, Hyoungshick Kim

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

Abstract

We propose an implicit user authentication system for virtual reality (VR), leveraging natural interactions such as grabbing, pointing, and typing. A key challenge in VR authentication is the limited user data available during initial registration, along with the need to pre-collect attacker data for binary-classification settings. In this paper, we address these limitations and develop a practical implicit user authentication solution. We conducted a study with 16 participants, achieving an average Equal Error Rate (EER) of 6.90%, with typing interactions demonstrating a notably low EER of 3.86%. This approach highlights the potential for seamless and unobtrusive authentication in VR environments.

Original languageEnglish
Title of host publicationCHI EA 2025 - Extended Abstracts of the 2025 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400713958
DOIs
StatePublished - 26 Apr 2025
Externally publishedYes
Event2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025 - Yokohama, Japan
Duration: 26 Apr 20251 May 2025

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2025 CHI Conference on Human Factors in Computing Systems, CHI EA 2025
Country/TerritoryJapan
CityYokohama
Period26/04/251/05/25

Keywords

  • Behavioral Interaction
  • User Authentication
  • Virtual Reality

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