PerspectAR: Addressing Perspective Distortion on Very Large Displays with Adaptive Augmented Reality Overlays

要旨

We present PerspectAR, a novel system addressing perspective distortion on displays caused by large size and wide viewing angles. PerspectAR has three components: a virtual AR screen that curves dynamically according to a user's position relative to the display, a sliding transparent window giving unobstructed access to the physical display in front of the user, and gaze indicators to assist collaborators when they are looking at different renderings. In a within-subjects study in a semi-controlled public environment with 12 pairs, we compared physical display-only and PerspectAR configurations for data analysis tasks. Participants reported less physical workload with PerspectAR and spent more time near the physical display without compromising task performance. Feedback indicates that PerspectAR addressed perspective distortion and provided a contextual view that was useful as a memory aid. Due to the virtual screen curvature, PerspectAR was seen as less effective for tasks involving distance estimates between objects.

著者
Muhammad Raza
Dalhousie University, Halifax, Nova Scotia, Canada
Vachiraporn Ketsoi
Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada
Joseph Malloch
Dalhousie University, Halifax, Nova Scotia, Canada
Saman Bashbaghi
Ericsson, Montreal, Quebec, Canada
Hakimeh Purmehdi
Ericsson, Montreal, Quebec, Canada
Derek Reilly
Dalhousie University, Halifax, Nova Scotia, Canada
DOI

10.1145/3706598.3713389

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713389

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: AR Interaction

Annex Hall F206
7 件の発表
2025-04-30 23:10:00
2025-05-01 00:40:00
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