The 3D Interaction Group would like to acknowledge its member’s contributions to CHI 2026.
PeriphAR: Fast and Accurate Real-World Object Selection with Peripheral Augmented Reality Displays
Yutong Ren, Arnav Reddy, Michael Nebeling
Abstract: Gaze-based selection in XR requires visual confirmation due to eye-tracking limitations and target ambiguity in 3D contexts. Current designs for wide-FOV displays use world-locked, central overlays, which are not conducive to always-on AR glasses. This paper introduces PeriphAR (per-ree-far), a visualization technique that leverages peripheral vision for feedback during gaze-based selection on a monocular AR display. In a first user study, we isolated text, color, and shape properties of target objects to compare peripheral selection cues. Peripheral vision was more sensitive to color than shape, but this sensitivity rapidly declined at lower contrast. To preserve preattentive processing of color, we developed two strategies to enhance color in users’ peripheral vision. In a second user study, our strategy that maximized contrast of the target to the neighboring object with the most similar color was subjectively preferred. As proof of concept, we implemented PeriphAR in an end-to-end system to test performance with real-world object detection.
When Hands Meet Physics in Virtual Reality: Effects of Interaction Fidelity on User Experience
Christos Lougiakis, Akrivi Katifori, Doug Bowman, Maria Roussou
Abstract: Physics governs everyday interaction, yet in Virtual Reality (VR) the fidelity of such interactions can diverge from reality. We investigate how Physical Fidelity (virtual object behavior) and Action Fidelity
(virtual hand behavior) of physics-driven interaction shape user experience. In a within-subject study (n = 34), participants performed gamified tasks under three conditions: No-Physics (lower Physical and Action Fidelity), Object-Physics (higher Physical, lower Action Fidelity), and Full-Physics (higher Physical and Action Fidelity). Results show that higher Physical Fidelity reduces task efficiency and increases overall workload, with the No-Physics condition outperforming the others in these metrics. When combined with
higher Action Fidelity, although efficiency gets even worse in some cases, the Full-Physics condition enhances body ownership and interaction quality. The hybrid Object-Physics condition consistently ranks lowest across all qualitative measures. Interpreting these results through the Interaction Fidelity Model, we offer design implications for VR applications.