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CHI '26 · Honorable mention · full-paper review · confidence medium-high

Investigating How Physical Surfaces Can Serve as Common-Region Cues for Perceptual Grouping of Virtual Elements in Augmented Reality

Xuanhui Yang , Xuning Hu , Hai-Ning Liang , Xiaojuan Ma

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This is a solid, well-scoped empirical paper that turns a familiar Gestalt idea into an AR-specific question with clear experimental evidence. The contribution is not a grand theory shift, but it is a useful and credible clarification of when physical surfaces matter as common-region cues and where the effect breaks down.

Axes Lens

Rare contribution shape, typical evidence profile. The point here is not a score. It is to show what kind of claim the paper makes, and whether the evidence pattern is unusual or baseline in this 268 -review set.

Review Summary

This paper’s value is in making a conceptually simple but under-tested claim concrete: in AR, physical surfaces are not just scenery or placement support; they can function as common-region cues that alter perceptual grouping of virtual elements. That is a meaningful departure from the common-sense framing of surfaces as passive context, and the authors support it with two within-subject studies rather than a single demonstration. The first study establishes the core effect in 3D and adds an important boundary condition: the influence depends on distance along the viewing direction. The second study then moves beyond a single-cue story and examines how proximity and common-region cues interact, using both objective and subjective measures. The result that competing cues reduce group clarity is a useful empirical finding for AR interface design, especially for assisted grouping tasks. The paper is strongest as descriptive and methodological knowledge: it clarifies a cue interaction, identifies a distance-sensitive effect, and offers design recommendations grounded in the observed behavior. It is less strong as a broad general theory because the authors themselves narrow the scope. They explicitly note that they did not vary physical-background to virtual-object distance widely, did not fully examine other spatial factors such as card spacing and its interaction with background distance, and used abstract tasks whose generality under dynamic grouping remains uncertain. So the contribution is credible and well aligned with the evidence, but it should be read as a focused empirical step rather than a universal account of grouping in AR.

What Changed

Canon before

Perceptual grouping in AR is usually discussed through intrinsic cues like proximity or through virtual layout and occlusion; physical surfaces are more often treated as background/context than as active common-region cues for virtual elements.

Departure from common sense

The paper challenges the default assumption that physical surfaces in AR are merely contextual backdrops or placement affordances. It argues that they can actively function as extrinsic common-region cues that shape how users perceptually group virtual elements, and that this influence varies with surface distance along the viewing direction.

Actual novelty

The paper’s main novelty is an empirical clarification of how physical surfaces operate as common-region cues for virtual elements in AR, including a distance-dependent effect in 3D and the interaction between common-region and proximity cues. The contribution is framed as a first step toward understanding this cue combination in assisted grouping tasks.

Evidence

Two within-subject studies support the claims. Study 1 used repetition discrimination tasks and found that surfaces can serve as common-region cues in 3D, with effects depending on distance to targets. Study 2 combined objective and subjective measures to examine cue interaction in AR and found that competing cues reduce group clarity. The paper also states explicit limitations about fixed participant location, unexamined spatial factors, and abstract tasks.

Limits

Method limits

The authors note that they did not investigate scenarios where the distance between physical backgrounds and virtual objects varied widely, and they did not fully examine other spatial factors such as card spacing and its interaction with card-background distance.

Deployment limits

The findings are tied to assisted grouping tasks in AR and to the specific experimental setup; the paper cautions that it is unclear whether the effect persists when grouping changes dynamically and the number of groups exceeds what the environment affords.

Boundary conditions

The reported effect depends on distance along the viewing direction, on the interaction between proximity and common-region cues, and on the abstract task setup used in the studies. The authors explicitly flag uncertainty for wider background-object distances and dynamic grouping conditions.

Manual check: no

Position in field

This work extends perceptual grouping research in AR by treating physical surfaces as active common-region cues rather than passive context, and by empirically testing how extrinsic and intrinsic cues compete in assisted grouping tasks.

Abstract

Perceptual grouping enables people to organize elements into units according to intrinsic (e.g., proximity) and extrinsic (e.g., common region) principles. However, the role of physical surfaces as extrinsic grouping cues for virtual elements in Augmented Reality (AR) remains unclear. To provide a deeper understanding, we conducted two within-subject studies. The first study (N = 24) using repetition discrimination tasks revealed that surfaces can be common-region cues in 3D, with their influence depending on their distance to target objects along the viewing direction. Building on these findings, the second study (N = 24) employed both objective and subjective measures to capture the interaction between proximity and common-region cues in AR. Results indicate that competing cues reduce group clarity. They also enable us to distill people's strategies for improving the clarity by leveraging their physical and virtual environments. Finally, we propose design recommendations for future AR systems in assisted grouping tasks.