Exploring multi-embodiment in virtual reality for human-robot teaming

This study examined the design considerations for the visual representation of autonomous robot teammates in virtual reality for supporting human-robot teaming in time-critical scenarios. Participants in this research enacted collaborating with a second research participant in a team with autonomous robots in three immersive virtual reality (VR) simulations of a bushfire emergency control room. In the VR simulations, participants play specific roles across three time-critical emergency scenarios: a bushfire emergency, a search and rescue, and an evacuation operation. Participants were asked some questions about their demographics, personal characteristics (attitudes towards AI and robots, Big Five personality) and previous experience with VR and robots. Participants were also interviewed about their experiences in the simulations. This research was conducted in our VR lab on campus using HTC Vive Eye Pro head-mounted VR devices.
Type
collection
Title
Exploring multi-embodiment in virtual reality for human-robot teaming
Brief Title
Multi-Embodiment in VR
Collection Type
Repository
Access Privileges
ANU College of Systems and Society
Metadata Language
English
Data Language
English
Significance Statement
The first study on multi-embodiment in virtual reality
Brief Description
This repository contains the data collected from human participants in an immersive speculative enactment study conducted for a PhD in Computer Science in the field of human-robot interaction.
Full Description
This study examined the design considerations for the visual representation of autonomous robot teammates in virtual reality for supporting human-robot teaming in time-critical scenarios. Participants in this research enacted collaborating with a second research participant in a team with autonomous robots in three immersive virtual reality (VR) simulations of a bushfire emergency control room. In the VR simulations, participants play specific roles across three time-critical emergency scenarios: a bushfire emergency, a search and rescue, and an evacuation operation. Participants were asked some questions about their demographics, personal characteristics (attitudes towards AI and robots, Big Five personality) and previous experience with VR and robots. Participants were also interviewed about their experiences in the simulations. This research was conducted in our VR lab on campus using HTC Vive Eye Pro head-mounted VR devices.
Contact Email
karla.kelly@anu.edu.au; penny.kyburz@anu.edu.au
Contact Address
School of Computing, Building 108, 108 North Road The Australian National University
Contact Phone Number
0407627028
Principal Investigator
Karla Kelly
Supervisors
Penny Kyburz
Collaborators
Sabrina Caldwell; Tom Gedeon; Matthew J. Knight
Fields of Research
460708 - Virtual and mixed reality; 460806 - Human-computer interaction; 460810 - Social robotics
Socio-Economic Objective
220407 - Human-computer interaction; 280115 - Expanding knowledge in the information and computing sciences
Keywords
Multi-Embodiment; Virtual Reality; Human-Robot Teaming
Type of Research Activity
Experimental development
Date of data creation
2024
Year of data publication
2025
Creator(s) for Citation
Karla
Bransky
Publisher for Citation
The Australian National University Data Commons
Publications
10.1109/RO-MAN63969.2025.11217829
Exploring the Effects of (Re)Embodiment on Perceptions of Robot Teammates in Virtual Reality Environments
Bransky, K., & Sweetser, P. (2025, August). Exploring the Effects of (Re)Embodiment on Perceptions of Robot Teammates in Virtual Reality Environments. 34th IEEE International Conference on Robot and Human Interactive Communication (ROMAN). https://doi.org/10.1109/RO-MAN63969.2025.11217829
10.1145/3747327.3763037
You Like This Robot? I Don't! How Individual Differences Influence Perceptions of Robot Teammates in Virtual Reality
Bransky, K., & Sweetser, P. (2025). You Like This Robot? I Don’t! How Individual Differences Influence Perceptions of Robot Teammates in Virtual Reality. Companion Proceedings of the 27th International Conference on Multimodal Interaction (ICMI ’25 Companion). https://doi.org/10.1145/3747327.3763037
Access Rights Type
Restricted
Licence Type
CC-BY - Attribution

Request data files

Number of files: 25

Size: 918 KB

Identifier: anudc:6449

Status: Published
Published to:
  • Australian National University
  • Australian National Data Service
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