Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery

Fuente: arXiv
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Autori principali: Sergeeva, Anastasia, Negri-Ribalta, Claudia, Lenzini, Gabriele
Natura: Preprint
Pubblicazione: 2025
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author Sergeeva, Anastasia
Negri-Ribalta, Claudia
Lenzini, Gabriele
author_facet Sergeeva, Anastasia
Negri-Ribalta, Claudia
Lenzini, Gabriele
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2507_02868
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery
Sergeeva, Anastasia
Negri-Ribalta, Claudia
Lenzini, Gabriele
Human-Computer Interaction
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.
title Identifying Ethical Challenges in XR Implementations in the Industrial Domain: A Case of Off-Highway Machinery
topic Human-Computer Interaction
url https://arxiv.org/abs/2507.02868