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Comparing VR Exploration Support for Ground-Based Rescue Robots

Willich, Julius von ; Matviienko, Andrii ; Günther, Sebastian ; Mühlhäuser, Max (2022)
Comparing VR Exploration Support for Ground-Based Rescue Robots.
24th International Conference on Human-Computer Interaction with Mobile Devices and Services. Vancouver, Canada (28.09.-01.10.2022)
doi: 10.1145/3528575.3551440
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Rescue robots have been extensively used in crisis situations for exploring dangerous areas. This exploration is usually facilitated via a remote operation by the rescue team. Although Virtual Reality (VR) was proposed to facilitate remote control due to its high level of immersion and situation awareness, we still lack intuitive and easy-to-use operation modes for search and rescue teams in VR environments. In this work, we propose four operation modes for ground-based rescue robots to utilize an efficient search and rescue: (a) Handle Mode, (b) Lab Mode, (c) Remote Mode, and (d) UI Mode. We evaluated these operation modes in a controlled lab experiment (N = 8) in terms of robot collisions, number of rescued victims, and mental load. Our results indicate that control modes with robot automation (UI and Remote mode) outperform modes with full control given to participants. In particular, we discovered that UI and Remote Mode lead to the lowest number of collisions, driving time, visible victims remaining, rescued victims, and mental load.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Willich, Julius von ; Matviienko, Andrii ; Günther, Sebastian ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: Comparing VR Exploration Support for Ground-Based Rescue Robots
Sprache: Englisch
Publikationsjahr: 28 September 2022
Verlag: ACM
Buchtitel: MobileHCI '22: Adjunct Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services
Veranstaltungstitel: 24th International Conference on Human-Computer Interaction with Mobile Devices and Services
Veranstaltungsort: Vancouver, Canada
Veranstaltungsdatum: 28.09.-01.10.2022
DOI: 10.1145/3528575.3551440
Kurzbeschreibung (Abstract):

Rescue robots have been extensively used in crisis situations for exploring dangerous areas. This exploration is usually facilitated via a remote operation by the rescue team. Although Virtual Reality (VR) was proposed to facilitate remote control due to its high level of immersion and situation awareness, we still lack intuitive and easy-to-use operation modes for search and rescue teams in VR environments. In this work, we propose four operation modes for ground-based rescue robots to utilize an efficient search and rescue: (a) Handle Mode, (b) Lab Mode, (c) Remote Mode, and (d) UI Mode. We evaluated these operation modes in a controlled lab experiment (N = 8) in terms of robot collisions, number of rescued victims, and mental load. Our results indicate that control modes with robot automation (UI and Remote mode) outperform modes with full control given to participants. In particular, we discovered that UI and Remote Mode lead to the lowest number of collisions, driving time, visible victims remaining, rescued victims, and mental load.

Freie Schlagworte: rescue robots, virtual reality, operation concepts, interaction techniques
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > emergenCITY
Hinterlegungsdatum: 01 Feb 2023 11:37
Letzte Änderung: 02 Mai 2023 10:48
PPN: 507381246
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