xHits: An Automatic Team Performance Metric for VR Police Training

Jakob Carl Uhl; Huu Quynh Huong Nguyen; Yannick Hill; Markus Murtinger; Manfred Tscheligi

doi:10.1109/MetroXRAINE58569.2023.10405600

xHits: An Automatic Team Performance Metric for VR Police Training

Jakob Carl Uhl (Speaker), Huu Quynh Huong Nguyen, Yannick Hill, Markus Murtinger, Manfred Tscheligi

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

VR training offers scenario-based sessions with analyzable replays, but performance assessment often relies on trainers’ subjective judgment. To increase objectivity, we identified key performance indicators (KPIs) through trainer interviews for VR police training and examined their feasibility for automatic VR tracking during a user study. The amount of rooms cleared before the first shot, the teams movement and the stress reaction after the first shot significantly predicted the teams success, operationalized as the number of team members shot in the scenario, which resulted in the "xHits" team performance metric. This paper details the methodology of creating such indicators, the xHits model, and its evaluation, demonstrating the potential of metrology for objective team performance measurements.

Original language	English
Title of host publication	2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings
Subtitle of host publication	IEEE MetroXRAINE Milano 2023
Pages	178-183
ISBN (Electronic)	979-8-3503-0080-2
DOIs	https://doi.org/10.1109/MetroXRAINE58569.2023.10405600
Publication status	Published - Oct 2023
Event	2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering - Milano, Italy Duration: 25 Oct 2023 → 27 Oct 2023 https://metroxraine.org/

Conference

Conference	2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
Abbreviated title	IEEE MetroXRAINE
Country/Territory	Italy
City	Milano
Period	25/10/23 → 27/10/23
Internet address	https://metroxraine.org/

Research Field

Experience Business Transformation

Keywords

virtual reality
training
performance
police

Access to Document

10.1109/MetroXRAINE58569.2023.10405600

Cite this

Uhl, J. C., Nguyen, H. Q. H., Hill, Y., Murtinger, M., & Tscheligi, M. (2023). xHits: An Automatic Team Performance Metric for VR Police Training. In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023 (pp. 178-183) https://doi.org/10.1109/MetroXRAINE58569.2023.10405600

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title = "xHits: An Automatic Team Performance Metric for VR Police Training",

abstract = "VR training offers scenario-based sessions with analyzable replays, but performance assessment often relies on trainers{\textquoteright} subjective judgment. To increase objectivity, we identified key performance indicators (KPIs) through trainer interviews for VR police training and examined their feasibility for automatic VR tracking during a user study. The amount of rooms cleared before the first shot, the teams movement and the stress reaction after the first shot significantly predicted the teams success, operationalized as the number of team members shot in the scenario, which resulted in the {"}xHits{"} team performance metric. This paper details the methodology of creating such indicators, the xHits model, and its evaluation, demonstrating the potential of metrology for objective team performance measurements.",

keywords = "virtual reality, training, performance, police",

author = "Uhl, {Jakob Carl} and Nguyen, {Huu Quynh Huong} and Yannick Hill and Markus Murtinger and Manfred Tscheligi",

note = "Q4/2023; 2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering , IEEE MetroXRAINE ; Conference date: 25-10-2023 Through 27-10-2023",

year = "2023",

month = oct,

doi = "10.1109/MetroXRAINE58569.2023.10405600",

language = "English",

isbn = "979-8-3503-0081-9",

pages = "178--183",

booktitle = "2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings",

url = "https://metroxraine.org/",

}

Uhl, JC , Nguyen, HQH, Hill, Y, Murtinger, M & Tscheligi, M 2023, xHits: An Automatic Team Performance Metric for VR Police Training. in 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023. pp. 178-183, 2023 IEEE MetroXRAINE - International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering , Milano, Italy, 25/10/23. https://doi.org/10.1109/MetroXRAINE58569.2023.10405600

xHits: An Automatic Team Performance Metric for VR Police Training. / Uhl, Jakob Carl (Speaker); Nguyen, Huu Quynh Huong; Hill, Yannick et al.
2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings: IEEE MetroXRAINE Milano 2023. 2023. p. 178-183.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

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KW - performance

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BT - 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering. Proceedings

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Y2 - 25 October 2023 through 27 October 2023

ER -

xHits: An Automatic Team Performance Metric for VR Police Training

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