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Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery
SERGEEVA, Anastasia; NEGRI RIBALTA, Claudia Sofia; LENZINI, Gabriele
2025CHIXR/2025/08
Peer reviewed
 

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Keywords :
Computer Science - Human-Computer Interaction
Abstract :
[en] Although extended reality(XR)-using technologies have started to be discussed in the industrial setting, it is becoming important to understand how to implement them ethically and privacy-preservingly. In our paper, we summarise our experience of developing XR implementations for the off-highway machinery domain by pointing to the main challenges we identified during the work. We believe that our findings can be a starting point for further discussion and future research regarding privacy and ethical challenges in industrial applications of XR.
Disciplines :
Computer science
Author, co-author :
SERGEEVA, Anastasia  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
NEGRI RIBALTA, Claudia Sofia  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
LENZINI, Gabriele  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC
External co-authors :
no
Language :
English
Title :
Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery
Publication date :
26 April 2025
Number of pages :
9
Event name :
CHIXR/2025/08
Event date :
26.04.2025
Audience :
International
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Development Goals :
8. Decent work and economic growth
European Projects :
HE - 101092861 - THEIA-XR - Making The Invisible Visible for Off-Highway Machinery by Conveying Extended Reality Technologies
FnR Project :
FNR16554939 - REMEDIS - Regulatory Solutions To Mitigate Online Disinfomation, 2021 (01/06/2022-31/05/2026) - Gabriele Lenzini
Funders :
Marie Skłodowska-Curie Actions grant agreement No. 101081455 (OBIPIA)
European Union
Funding text :
This paper has received funding from the European Union Horizon 2020 research and innovation programme HORIZON-CL4-2022-HUMAN01-14 (TheiaXR), the Luxembourg National Research Fund REMEDIS (REgulatory and other solutions to MitigatE online DISinformation - INTER/FNRS/21/16554939) and from the European Uninion Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Actions grant agreement No. 101081455 (OBIPIA) link https://yia.uni.lu/.
Commentary :
Presented at CHI 2025 (arXiv:2504.07475)
Available on ORBilu :
since 11 August 2025

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