User-Centered Requirements for Augmented Reality as a Cognitive Assistant for Safety-Critical Services
Author:
Abstract
Augmented reality (AR) is widely acknowledged to be beneficial for services with exceptionally high requirements regarding knowledge and simultaneous tasks to be performed and are safety-critical. This study explores the user-centered requirements for an AR cognitive assistant in the operations of a large European maritime logistics hub. Specifically, it deals with the safety-critical service process of soil sounding. Based on fourteen think-aloud sessions during service delivery, two expert interviews, and two expert workshops, five core requirements for AR cognitive assistants in soil sounding are derived, namely (1) real-time overlay, (2) variety in displaying information, (3) multi-dimensional tracking, (4) collaboration, and (5) interaction. The study is the first one on the applicability and feasibility of AR in the maritime industry and identifies requirements that impact further research on AR use in safety-critical environments.
- Citation
- BibTeX
Bräker, J., Osterbrink, A., Semmann, M. & Wiesche, M.,
(2023).
User-Centered Requirements for Augmented Reality as a Cognitive Assistant for Safety-Critical Services.
Business & Information Systems Engineering: Vol. 65, No. 2.
Springer.
(S. 161-178).
DOI: 10.1007/s12599-022-00779-3
@article{mci/Bräker2023,
author = {Bräker, Julia AND Osterbrink, Anna AND Semmann, Martin AND Wiesche, Manuel},
title = {User-Centered Requirements for Augmented Reality as a Cognitive Assistant for Safety-Critical Services},
journal = {Business & Information Systems Engineering},
volume = {65},
number = {2},
year = {2023},
,
pages = { 161-178 } ,
doi = { 10.1007/s12599-022-00779-3 }
}
author = {Bräker, Julia AND Osterbrink, Anna AND Semmann, Martin AND Wiesche, Manuel},
title = {User-Centered Requirements for Augmented Reality as a Cognitive Assistant for Safety-Critical Services},
journal = {Business & Information Systems Engineering},
volume = {65},
number = {2},
year = {2023},
,
pages = { 161-178 } ,
doi = { 10.1007/s12599-022-00779-3 }
}
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ISSN: 1867-0202
xmlui.MetaDataDisplay.field.date: 2023
Content Type: Text/Journal Article