Invisible Mesh: Effects of X-Ray Vision Metaphors on Depth Perception in Optical-See-Through Augmented Reality

Haoyu Tan, Tongyu Nie, Evan Suma Rosenberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper investigates the influence of X-ray vision metaphors on distance estimation in optical-see-through augmented reality (AR) in action space. A within-subjects study $(\mathrm{N}=30)$ was conducted to evaluate depth judgments across five conditions, including a novel 'invisible mesh' technique. Participants performed a series of blind walking tasks that required estimating the depth of AR objects displayed at multiple distance ranges in front or behind a physical occluding surface. Although quantitative results regarding the impact of different X-ray vision metaphors on distance perception were inconclusive, participant feedback revealed a diversity of strategies and preferences. Overall, the findings suggest that no single metaphor was considered universally superior, and multiple X-ray vision metaphors may be suitable for different users and situations. This research contributes to understanding of X-ray vision techniques and informs the design considerations for AR systems aiming to enhance depth perception and user experience.

Original languageEnglish (US)
Title of host publicationProceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages376-386
Number of pages11
ISBN (Electronic)9798350374025
DOIs
StatePublished - 2024
Event31st IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024 - Orlando, United States
Duration: Mar 16 2024Mar 21 2024

Publication series

NameProceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024

Conference

Conference31st IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024
Country/TerritoryUnited States
CityOrlando
Period3/16/243/21/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Computer graphics
  • Computing methodologies
  • Graphics systems and interfaces
  • Human computer interaction (HCI)
  • Human-centered computing
  • Interaction paradigms
  • Mixed / augmented reality

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