Egocentric Distance Judgments in Full-Cue Video-See-Through VR Conditions are No Better than Distance Judgments to Targets in a Void
Koorosh Vaziri, Maria Bondy, Amanda Bui, Victoria Interrante
Abstract
Understanding the extent to which, and conditions under which, scene detail affects spatial perception accuracy can inform the responsible use of sketch-like rendering styles in applications such as immersive architectural design walkthroughs using 3D concept drawings. This paper reports the results of an experiment that provides important new insight into this question using a custom-built, portable video-see-through (VST) conversion of an optical-see-through head-mounted display (HMD). Participants made egocentric distance judgments by blind walking to the perceived location of a real physical target in a real-world outdoor environment under three different conditions of HMD-mediated scene detail reduction: full detail (raw camera view), partial detail (Sobel-filtered camera view), and no detail (complete background subtraction), and in a control condition of unmediated real world viewing through the same HMD. Despite the significant differences in participants' ratings of visual and experiential realism between the three different video-see-through rendering conditions, we found no significant difference in the distances walked between these conditions. Consistent with prior findings, participants underestimated distances to a significantly greater extent in each of the three VST conditions than in the real world condition. The lack of any clear penalty to task performance accuracy not only from the removal of scene detail, but also from the removal of all contextual cues to the target location, suggests that participants may be relying nearly exclusively on context - independent information such as angular declination when performing the blind-walking task. This observation highlights the limitations in using blind walking to the perceived location of a target on the ground to make inferences about people's understanding of the 3D space of the virtual environment surrounding the target. For applications like immersive architectural design, where we seek to verify the equivalence of the 3D spatial understanding derived from virtual immersion and real world experience, additional measures of spatial understanding should be considered.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get c4e357a9-8055-43a8-ade9-90510cfca011Cited by top-tier papers3
- Depth Perception in Augmented Reality: The Effects of Display, Shadow, and PositionHaley Adams, Jeanine K. Stefanucci, Sarah H. Creem-Regehr, Bobby BodenheimerIEEE VR 2022 · 78 citations
- Effects of Field of View on Egocentric Distance Perception in Virtual RealitySina Masnadi, Kevin Pfeil, Jose-Valentin T. Sera-Josef, Joseph J. LaViolaCHI 2022 · 37 citations
- How Do We Evaluate Experiences in Immersive Environments?Xiang Li, Wei He, Per Ola KristenssonCHI 2026 · 4 citations
Related papers
- Distance Perception with a Video See-Through Head-Mounted DisplayKevin Pfeil, Sina Masnadi, Jacob Belga, Jose-Valentin T. Sera-Josef et al.CHI 2021 · 48 citations
- Interpupillary to Inter-Camera Distance of Video See-Through AR and its Impact on Depth PerceptionFranziska Westermeier, Chandni Murmu, Kristopher Kohm, Christopher Pagano et al.IEEE VR 2025 · 4 citations
- Impact of Visual Virtual Scene and Localization Task on Auditory Distance Perception in Virtual RealitySarah Roßkopf, Andreas Mühlberger, Felix Stärz, Steven van de Par et al.IEEE VR 2025 · 6 citations
- Invisible Mesh: Effects of X-Ray Vision Metaphors on Depth Perception in Optical-See-Through Augmented RealityHaoyu Tan, Tongyu Nie, Evan Suma RosenbergIEEE VR 2024 · 6 citations
- Occlusion Effect on Action Space Distance Estimations in Optical See-Through and Video See-Through Augmented RealityDakota Kenoyer-Healy, Matthew Sturgeon, Mohammed Safayet ArefinIEEE VR 2026
