On the Go with AR: Attention to Virtual and Physical Targets while Varying Augmentation Density
You-Jin Kim, Radha Kumaran, Jingjing Luo, Tom Bullock, Barry Giesbrecht, Tobias Höllerer
TL;DR
This study examines how augmentation density and path guidance in on-the-go augmented reality affect attention, search performance, and memory during a walking task. Using a locomotion-based gem search with both physical and virtual targets and a moving spotlight, the authors quantify how clutter and guided navigation shape behavior and awareness of the environment. Key findings show that environmental clutter increases scanning and can reduce awareness of a salient object, with physical targets detected more reliably than virtual ones, while memory for physical and virtual items is similar but prone to source confusion. The work provides design guidance for AR-on-the-go applications, highlighting clutter reduction, safety-focused prioritization of physical cues, and personalized navigation to balance task performance with user comfort and safety.
Abstract
Augmented reality is projected to be a primary mode of information consumption on the go, seamlessly integrating virtual content into the physical world. However, the potential perceptual demands of viewing virtual annotations while navigating a physical environment could impact user efficacy and safety, and the implications of these demands are not well understood. Here, we investigate the impact of virtual path guidance and augmentation density (visual clutter) on search performance and memory. Participants walked along a predefined path, searching for physical or virtual items. They experienced two levels of augmentation density, and either walked freely or with enforced speed and path guidance. Augmentation density impacted behavior and reduced awareness of uncommon objects in the environment. Analysis of search task performance and post-experiment item recall revealed differing attention to physical and virtual objects. On the basis of these findings we outline considerations for AR apps designed for use on the go.
