Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives

Luca Longo

doi:10.1109/CBMS.2016.36

Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives

Luca Longo

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Mental workload is a design concept borrowed from Ergonomics with a significant adoption in the aviation and automobile industries. Nowadays, the consideration of this construct is also taking place in many modern clinical working environments for designing interacting and complex systems that impose ever greater cognitive demand on operators and less physical load. Measuring mental workload is essential for improving the interaction human-system, enhancing performance, reducing the operator's error and increasing safety. However, defining, measuring, assessing mental workload and understanding how this impinges on performance are still open problems. This secondary research is firstly aimed at introducing the construct of mental workload, its foundations, measurements techniques as well as applications in medicine. It then discusses open problems for applied research and eventually, it concludes with a list of challenges for scholars and practitioners. The goal is to provide the reader with a picture of the state of the science of mental workload in medicine and clinical domains with an eye towards future research.

Original language	English
Title of host publication	Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	106-111
Number of pages	6
ISBN (Electronic)	9781467390361
DOIs	https://doi.org/10.1109/CBMS.2016.36 https://doi.org/10.1109/cbms.2016.36
Publication status	Published - Jun 2016
Event	29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016 - Belfast, Ireland Duration: 20 Jun 2016 → 23 Jun 2016

Publication series

Name	Proceedings - IEEE Symposium on Computer-Based Medical Systems
Volume	2016-August
ISSN (Print)	1063-7125

Conference

Conference	29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016
Country/Territory	Ireland
City	Belfast
Period	20/06/16 → 23/06/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Critical systems
Healt-care
Medicine
Mental workload
Safety
System design

Access to Document

https://arrow.tudublin.ie/scschcomcon/182Licence: CC BY-NC-SA

Cite this

Longo, L. (2016). Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives. In Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016 (pp. 106-111). Article 7545966 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2016-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2016.36, https://doi.org/10.1109/cbms.2016.36

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title = "Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives",

abstract = "Mental workload is a design concept borrowed from Ergonomics with a significant adoption in the aviation and automobile industries. Nowadays, the consideration of this construct is also taking place in many modern clinical working environments for designing interacting and complex systems that impose ever greater cognitive demand on operators and less physical load. Measuring mental workload is essential for improving the interaction human-system, enhancing performance, reducing the operator's error and increasing safety. However, defining, measuring, assessing mental workload and understanding how this impinges on performance are still open problems. This secondary research is firstly aimed at introducing the construct of mental workload, its foundations, measurements techniques as well as applications in medicine. It then discusses open problems for applied research and eventually, it concludes with a list of challenges for scholars and practitioners. The goal is to provide the reader with a picture of the state of the science of mental workload in medicine and clinical domains with an eye towards future research.",

keywords = "Critical systems, Healt-care, Medicine, Mental workload, Safety, System design",

author = "Luca Longo",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016 ; Conference date: 20-06-2016 Through 23-06-2016",

year = "2016",

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doi = "10.1109/CBMS.2016.36",

language = "English",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

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Longo, L 2016, Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives. in Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016., 7545966, Proceedings - IEEE Symposium on Computer-Based Medical Systems, vol. 2016-August, Institute of Electrical and Electronics Engineers Inc., pp. 106-111, 29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016, Belfast, Ireland, 20/06/16. https://doi.org/10.1109/CBMS.2016.36, https://doi.org/10.1109/cbms.2016.36

Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives. / Longo, Luca.
Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 106-111 7545966 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2016-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Longo L. Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives. In Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 106-111. 7545966. (Proceedings - IEEE Symposium on Computer-Based Medical Systems). doi: 10.1109/CBMS.2016.36, 10.1109/cbms.2016.36

Mental workload in medicine: Foundations, applications, open problems, challenges and future perspectives

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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