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Designs and Interactions for Near-Field Augmented Reality: A Scoping Review

Lookup NU author(s): Jake HobbsORCiD, Dr Christopher BullORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Augmented reality (AR), which overlays digital content within the user’s view, is gaining traction across domains such as education, healthcare, manufacturing, and entertainment. The hardware constraints of commercially available HMDs are well acknowledged, but little work addresses what design or interactions techniques developers can employ or build into experiences to work around these limitations. We conducted a scoping literature review, with the aim of mapping the current landscape of design principles and interaction techniques employed in near-field AR environments. We searched for literature published between 2016 and 2025 across major databases, including the ACM Digital Library and IEEE Xplore. Studies were included if they explicitly employed design or interaction techniques with a commercially available HMD for near-field AR experiences. A total of 780 articles were returned by the search, but just 7 articles met the inclusion criteria. Our review identifies key themes around how existing techniques are employed and the two competing goals of AR experiences, and we highlight the importance of embodiment in interaction efficacy. We present directions for future research based on and justified by our review. The findings offer a comprehensive overview for researchers, designers, and developers aiming to create more intuitive, effective, and context-aware near-field AR experiences. This review also provides a foundation for future research by outlining underexplored areas and recommending research directions for near-field AR interaction design.


Publication metadata

Author(s): Hobbs J, Bull C

Publication type: Article

Publication status: Published

Journal: Informatics

Year: 2025

Volume: 12

Issue: 3

Online publication date: 01/08/2025

Acceptance date: 24/07/2025

Date deposited: 19/08/2025

ISSN (electronic): 2227-9709

Publisher: MDPI

URL: https://doi.org/10.3390/informatics12030077

DOI: 10.3390/informatics12030077

Data Access Statement: The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.


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