Augmented Reality Views for Occluded Interaction
Authors
We rely on our sight when manipulating objects. When objects are occluded, manipulation becomes difficult. Such occluded objects can be shown via augmented reality to re-enable visual guidance. However, it is unclear how to do so to best support object manipulation. We compare four views of occluded objects and their effect on performance and satisfaction across a set of everyday manipulation tasks of varying complexity. The best performing views were a see-through view and a displaced 3D view. The former enabled participants to observe the manipulated object through the occluder, while the latter showed the 3D view of the manipulated object offset from the object's real location. The worst performing view showed remote imagery from a simulated hand-mounted camera. Our results suggest that alignment of virtual objects with their real-world location is less important than an appropriate point-of-view and view stability.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
Flicker Augmentations: Rapid Brightness Modulation for Real-World Visual Guidance using Augmented Reality
CHI '24· AR Navigation & Context Awareness
- 100%
AReading with Smartphones: Understanding the Trade-offs between Enhanced Legibility and Display Switching Costs in Hybrid AR Interfaces
CHI '25· AR Navigation & Context Awareness
- 100%
BeeAR: Augmented Reality Beeline Navigation for Spatial Knowledge Acquisition
MobileHCI '23· AR Navigation & Context Awareness
- 100%
Experience from Designing Augmented Reality Browsing Interfaces for Real-world Walking Scenarios
MobileHCI '24· AR Navigation & Context Awareness
- 100%
Predicting Signal Reception Information from GNSS Satellites in Indoor Environments without Site Survey: Towards Opportunistic Indoor Positioning based on GNSS Fingerprinting
UbiComp '24· AR Navigation & Context Awareness
- 100%
Reflected Reality: Augmented Reality through the Mirror
UbiComp '24· AR Navigation & Context Awareness
Based on Jaccard similarity of research subtopics & professions (≥60%)