A Taxonomy of Functional Augmented Reality for Human-Robot Interaction
Paper in proceeding, 2022

Augmented reality (AR) technologies are today more frequently being introduced to Human-Robot Interaction (HRI) to mediate the interaction between human and robot. Indeed, better technical support and improved framework integration allow the design and study of novel scenarios augmenting interaction with AR. While some literature reviews have been published, so far no classifications have been devised for the role of AR in HRI. AR constitutes a vast field of research in HCI, and as it is picking up in HRI, it is timely to articulate the current knowledge and information about the functionalities of AR in HRI. Here we propose a multidimensional taxonomy for AR in HRI that distinguishes the type of perception augmentation, the functional role of AR, and the augmentation artifact type. We place sample publications within the taxonomy to demonstrate its utility. Lastly, we derive from the taxonomy some research gaps in current AR-for-HRI research and provide suggestions for exploration beyond the current state-of-the-art.

Taxonomy

Human-Robot Interaction

Augmented Reality

Literature Review

Author

Ornnalin Phaijit

University of New South Wales (UNSW)

Mohammad Obaid

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Claude Sammut

University of New South Wales (UNSW)

Wafa Johal

University of Melbourne

ACM/IEEE International Conference on Human-Robot Interaction

21672148 (eISSN)

Vol. 2022-March 294-303
9781538685549 (ISBN)

17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Sapporo, Japan,

Subject Categories

Media and Communication Technology

Interaction Technologies

Human Computer Interaction

Areas of Advance

Information and Communication Technology

DOI

10.1109/HRI53351.2022.9889622

More information

Latest update

10/27/2023