Augmented Reality Spatial Guidance Cues for Flexible Multi-Objective Task Environments

Improving the efficiency of Augmented Reality (AR) task guidance is actively explored in education and industry. Current AR techniques often let users to follow a fixed task sequence, limiting flexibility. This research explores the benefits and limitations of allowing participants to choose task order in AR task guidance. In large spaces, providing an overview of task locations is essential for effective navigation and completion of tasks dispersed in various locations. In a user study, we compared the baseline condition of spatially anchored tags to two spatial guidance techniques, line guidance and radar guidance, that guide users to navigate in a task environment with multiple distributed tasks locations. The results showed line guidance outperformed radar in task completion efficiency and recall. These methods significantly influenced route-planning strategies, and the results highlighted line guidance as a promising option for multi-objective task AR guidance interfaces.

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Publication Details

Published
2024-12-01
DOI
https://doi.org/10.1145/3703619.3706047
Citations
4
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
1.00
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article

Augmented Reality Spatial Guidance Cues for Flexible Multi-Objective Task Environments

Gun Lee, Mark Billinghurst, Hyunwoo Cho, Bowen Yuan
4 citations
Augmented Reality Applications
1.00
article

Augmented Reality Spatial Guidance Cues for Flexible Multi-Objective Task Environments

Gun Lee, Mark Billinghurst, Hyunwoo Cho, Bowen Yuan
article en
4 citations

Abstract

Improving the efficiency of Augmented Reality (AR) task guidance is actively explored in education and industry. Current AR techniques often let users to follow a fixed task sequence, limiting flexibility. This research explores the benefits and limitations of allowing participants to choose task order in AR task guidance. In large spaces, providing an overview of task locations is essential for effective navigation and completion of tasks dispersed in various locations. In a user study, we compared the baseline condition of spatially anchored tags to two spatial guidance techniques, line guidance and radar guidance, that guide users to navigate in a task environment with multiple distributed tasks locations. The results showed line guidance outperformed radar in task completion efficiency and recall. These methods significantly influenced route-planning strategies, and the results highlighted line guidance as a promising option for multi-objective task AR guidance interfaces.

Openalex Percentile: Top 21%
Augmented Reality Applications
1.00
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