NASA TLX: Software for assessing subjective mental workload

Cao, Alex; Chintamani, Keshav; Pandya, Abhilash; Ellis, R. Darin

doi:10.3758/brm.41.1.113

Cited by 200 publications

(103 citation statements)

References 12 publications

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“…The use of the six subscales provides valuable information about sources of workload and, relative to unidimensional workload ratings, has been found to reduce variability among participants in the overall workload score. 94 Each subscale is subjectively rated on a 21-point visual analogue scale, from very low to very high.…”

Section: Surg-tlx Questionnairementioning

confidence: 99%

A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making

Randell

Honey

Hindmarsh

et al. 2017

Health Serv Deliv Res

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Health Services and Delivery ResearchISSN 2050-4349 (Print) ISSN 2050-4357 (Online) This journal is a member of and subscribes to the principles of the Committee on Publication Ethics (COPE) (www.publicationethics.org/).Editorial contact: journals.library@nihr.ac.ukThe full HS&DR archive is freely available to view online at www.journalslibrary.nihr.ac.uk/hsdr. Print-on-demand copies can be purchased from the report pages of the NIHR Journals Library website: www.journalslibrary.nihr.ac.uk Criteria for inclusion in the Health Services and Delivery Research journalReports are published in Health Services and Delivery Research (HS&DR) if (1) they have resulted from work for the HS&DR programme or programmes which preceded the HS&DR programme, and (2) they are of a sufficiently high scientific quality as assessed by the reviewers and editors. HS&DR programmeThe Health Services and Delivery Research (HS&DR) programme, part of the National Institute for Health Research (NIHR), was established to fund a broad range of research. It combines the strengths and contributions of two previous NIHR research programmes: the Health Services Research (HSR) programme and the Service Delivery and Organisation (SDO) programme, which were merged in January 2012.The HS&DR programme aims to produce rigorous and relevant evidence on the quality, access and organisation of health services including costs and outcomes, as well as research on implementation. The programme will enhance the strategic focus on research that matters to the NHS and is keen to support ambitious evaluative research to improve health services.For more information about the HS&DR programme please visit the website: http://www.nets.nihr.ac.uk/programmes/hsdr This reportThe research reported in this issue of the journal was funded by the HS&DR programme or one of its preceding programmes as project number 12/5005/04. The contractual start date was in September 2013. The final report began editorial review in September 2016 and was accepted for publication in February 2017. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HS&DR editors and production house have tried to ensure the accuracy of the authors' report and would like to thank the reviewers for their constructive comments on the final report document. However, they do not accept liability for damages or losses arising from material published in this report.This report presents independent research funded by the National Institute for Health Research (NIHR). The views and opinions expressed by authors in this publication are those of the authors and do not necessarily reflect those of the NHS, the NIHR, NETSCC, the HS&DR programme or the Department of Health. If there are verbatim quotations included in this publication the views and opinions expressed by the interviewees are those of the interviewees and do not necessarily reflect those of the authors, those of the NHS, the NIHR, NETSCC, the HS&DR programme or the Department...

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Section: Surg-tlx Questionnairementioning

confidence: 99%

A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making

Randell

Honey

Hindmarsh

et al. 2017

Health Serv Deliv Res

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“…The study population consisted of nursing staff from all public hospitals in Kashan with at least one year of experience. The following formula was used to determine the sample volume:, in which Z is confidence coefficient (equal to 95% confidence), The second part of the questionnaire assessed the mental work load status using the assessment scale of the NASA-TLX, one of the most commonly used tools to evaluate mental workload in terms of individual perspective (Cao et al, 2009;Holden et al, 2010;Holden et al, 2011;Safari et al, 2013). Several reports have confirmed the reliability and validity of NASA-TLX to evaluate mental workload (Hoonakker et al, 2011;Rubio et al, 2004); for instance, Hoonakker et al (2011) reported the appropriateness of convergent and discriminant validities of the NASA mental workload scale (Hoonakker et al, 2011).…”

Section: Materials-methodsmentioning

confidence: 99%

Assessment of workload effect on nursing occupational accidents in hospitals of Kashan, Iran

et al. 2017

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Background: Nurses often experience occupational accidents and injuries. The mental workload is one of the factors that often cause tiredness. Perilous behaviors possibly occur more in tired persons resulting in injuries. The aim of the study was to evaluate the correlation between mental workload and nursing occupational accidents in public hospitals of Kashan, as well as factors affecting them. Methods: The analytic-descriptive study described herein consisted of nursing staff from public hospitals of Kashan, Iran. Information was collected using a three-part questionnaire from a selected clustery of 406 nursing personnel in 2016. The questionnaire was used to collect demographics, assess mental workload (per the National Aeronautics and Space Administration Task Load Index (NASA-TLX)), and assess frequency of accidents. The data were analyzed using SPSS software version 16. Results: A total of 455 occupational accidents were recorded for 2016 with about 2.27±1.21 accidents per nurse.

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“…On the participant side, the traditional NASA TLX test requires two steps: measuring participant workload on six subscales presented by the questionnaire, and then creating an individual weighting for each subscale through pairwise comparison regarding their perceived importance. RTLX omits the second part, which allows faster execution of the experiment while still providing valid results that are highly correlated with traditional TLX scores [24].…”

Section: Experiments Designmentioning

confidence: 99%

StreamSpace: Pervasive Mixed Reality Telepresence for Remote Collaboration on Mobile Devices

Ryskeldiev

Cohen

Herder

2018

Journal of Information Processing

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We present a system that exploits mobile rotational tracking and photospherical imagery to allow users to share their environment with remotely connected peers "on the go." We surveyed related interfaces and developed a unique groupware application that shares a mixed reality space with spatially-oriented live video feeds. Users can collaborate through realtime audio, video, and drawings in a virtual space. The developed system was tested in a preliminary user study, which confirmed an increase in spatial and situational awareness among viewers as well as reduction in cognitive workload. Believing that our system provides a novel style of collaboration in mixed reality environments, we discuss future applications and extensions of our prototype.

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NASA TLX: Software for assessing subjective mental workload

Cited by 200 publications

References 12 publications

A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making

A realist process evaluation of robot-assisted surgery: integration into routine practice and impacts on communication, collaboration and decision-making

Assessment of workload effect on nursing occupational accidents in hospitals of Kashan, Iran

StreamSpace: Pervasive Mixed Reality Telepresence for Remote Collaboration on Mobile Devices

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