Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Virtual, Augmented, and Mixed Reality for Human-robot Interaction

A Survey and Virtual Design Element Taxonomy

Bibliographic Data

ID22190606
AuthorsMichael 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)
Year2023
Volume12
Issue4
Pages1-39
Publication date2023-12-31
Open AccessYes
TypeARTICLE
VenueACM Transactions on Human-Robot Interaction (JOURNAL)
Journal identifiersISSN: 2573-9522 • E-ISSN: 2573-9522
PublisherAssociation for Computing Machinery (ACM) (PUBLISHER)
DOI10.1145/3597623
OpenAlexW4378807214
LanguageEN
Citations received7
References cited30

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

    Open Access•Marco C Rozendaal, Jered Vroon et al.•ACM Transactions on Human-Robot…•2025

  • Influence of Autonomy and Interfaces on Human and Multi-Robot Teams

    Marcel Kaufmann, Giovanni Beltrame•ACM Transactions on Human-Robot…•2026

  • Identity, Form, and Function

    Karla Bransky, Penny Sweetser et al.•ACM Transactions on Human-Robot…•2026

  • Designing Gesture-Based Interfaces for Cobots

    Patricia Pons, José L Soler-Domínguez et al.•ACM Transactions on Human-Robot…•2026

  • Evaluating Digital Twin Visualisations for Safety and Trust in Robot-Assisted Dressing

    Open Access•Yunus Emre Cogurcu, Mirco Bartolomei et al.•ACM Transactions on Human-Robot…•2026

  • Exploring technological landscape to uncover technological opportunities for immersive technologies in the Metaverse using patent data

    Open Access•Juite Wang•Scientometrics•2025

  • Indicating Robot Vision Capabilities with Augmented Reality

    Open Access•Hong Wang, Ridhima Phatak et al.•International Journal of Social…•2026

  • User Centered System Design

    Derek A Norman, Donald A Norman et al.•User Centered System Design•1986

  • A Study on Different User Interfaces for Teaching Virtual Borders to Mobile Robots

    Open Access•Dennis Sprute, Klaus Tönnies et al.•International Journal of Social…•2018

Citations per year7
Citation span2025 - 2026 (2)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae