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 language | English (US) |
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Title of host publication | Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 376-386 |
Number of pages | 11 |
ISBN (Electronic) | 9798350374025 |
DOIs | |
State | Published - 2024 |
Event | 31st IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024 - Orlando, United States Duration: Mar 16 2024 → Mar 21 2024 |
Publication series
Name | Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024 |
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Conference
Conference | 31st IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2024 |
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Country/Territory | United States |
City | Orlando |
Period | 3/16/24 → 3/21/24 |
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