Improving Usability of Search and Rescue Decision Support Systems : WARA-PS Case Study
(2020) 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020 In IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020-September. p.1251-1254- Abstract
Novel autonomous search and rescue systems, although powerful, still require a human decision-maker involvement. In this project, we focus on the human aspect of one such novel autonomous SAR system. Relying on the knowledge gained in a field study, as well as through the literature, we introduced several extensions to the system that allowed us to achieve a more user-centered interface. In the evaluation session with a rescue service specialist, we received positive feedback and defined potential directions for future work.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c59ed58c-4872-4185-a13d-763891c17178
- author
- Domova, Veronika
; Gärtner, Erik
LU
; Präntare, Fredrik ; Pallin, Martin ; Källström, Johan and Korzhitskii, Nikita
- organization
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Control System, Public Safety, Search and Rescue, User Interface
- host publication
- Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
- series title
- IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
- volume
- 2020-September
- article number
- 9211980
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020
- conference location
- Vienna, Austria
- conference dates
- 2020-09-08 - 2020-09-11
- external identifiers
-
- scopus:85093356637
- ISSN
- 1946-0740
- 1946-0759
- ISBN
- 9781728189567
- DOI
- 10.1109/ETFA46521.2020.9211980
- language
- English
- LU publication?
- yes
- id
- c59ed58c-4872-4185-a13d-763891c17178
- date added to LUP
- 2020-11-10 10:44:25
- date last changed
- 2024-06-27 02:35:18
@inproceedings{c59ed58c-4872-4185-a13d-763891c17178, abstract = {{<p>Novel autonomous search and rescue systems, although powerful, still require a human decision-maker involvement. In this project, we focus on the human aspect of one such novel autonomous SAR system. Relying on the knowledge gained in a field study, as well as through the literature, we introduced several extensions to the system that allowed us to achieve a more user-centered interface. In the evaluation session with a rescue service specialist, we received positive feedback and defined potential directions for future work.</p>}}, author = {{Domova, Veronika and Gärtner, Erik and Präntare, Fredrik and Pallin, Martin and Källström, Johan and Korzhitskii, Nikita}}, booktitle = {{Proceedings - 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020}}, isbn = {{9781728189567}}, issn = {{1946-0740}}, keywords = {{Control System; Public Safety; Search and Rescue; User Interface}}, language = {{eng}}, pages = {{1251--1254}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE International Conference on Emerging Technologies and Factory Automation, ETFA}}, title = {{Improving Usability of Search and Rescue Decision Support Systems : WARA-PS Case Study}}, url = {{http://dx.doi.org/10.1109/ETFA46521.2020.9211980}}, doi = {{10.1109/ETFA46521.2020.9211980}}, volume = {{2020-September}}, year = {{2020}}, }