Virtual, Augmented, and Mixed Reality for Human-robot Interaction
A Survey and Virtual Design Element Taxonomy
Bibliographic Data
| ID | 22190606 |
|---|---|
| Authors | Michael Walker (0000-0002-7389-9518, University of North Carolina at Chapel Hill), Thao Phung (0000-0003-2442-5292, Colorado School of Mines), Tathagata Chakraborti (0000-0003-2905-5454, IBM Research AI, United States), Tom Williams (0000-0002-7901-4987, Colorado School of Mines), Daniel Szafır (0000-0003-1848-7884, University of North Carolina at Chapel Hill) |
| Year | 2023 |
| Volume | 12 |
| Issue | 4 |
| Pages | 1-39 |
| Publication date | 2023-12-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM Transactions on Human-Robot Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2573-9522 • E-ISSN: 2573-9522 |
| Publisher | Association for Computing Machinery (ACM) (PUBLISHER) |
| DOI | 10.1145/3597623 |
| OpenAlex | W4378807214 |
| Language | EN |
| Citations received | 7 |
| References cited | 30 |
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) has been gaining considerable attention in HRI research in recent years. However, the HRI community lacks a set of shared terminology and framework for characterizing aspects of mixed reality interfaces, presenting serious problems for future research. Therefore, it is important to have a common set of terms and concepts that can be used to precisely describe and organize the diverse array of work being done within the field. In this article, we present a novel taxonomic framework for different types of VAM-HRI interfaces, composed of four main categories of virtual design elements (VDEs). We present and justify our taxonomy and explain how its elements have been developed over the past 30 years as well as the current directions VAM-HRI is headed in the coming decade
Augmented reality · Human–computer interaction · Human–robot interaction · Mixed reality · Robot · Terminology · Virtual reality · Augmented Reality Applications · Computer Science · Teleoperation and Haptic Systems · Virtual Reality Applications and Impacts · Artificial Intelligence
Enacting Human–Robot Encounters with Theater Professionals on a Mixed Reality Stage
Influence of Autonomy and Interfaces on Human and Multi-Robot Teams
Identity, Form, and Function
Designing Gesture-Based Interfaces for Cobots
Evaluating Digital Twin Visualisations for Safety and Trust in Robot-Assisted Dressing
Exploring technological landscape to uncover technological opportunities for immersive technologies in the Metaverse using patent data
Indicating Robot Vision Capabilities with Augmented Reality
| Citations per year | 7 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |