Task analysis of discrete and continuous skills: a dual methodology approach to human skills capture for automation

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dc.contributor.authorEveritt, Jamie
dc.contributor.authorFletcher, Sarah R.
dc.contributor.authorCaird-Daley, Antoinette
dc.date.accessioned2016-06-14T11:15:19Z
dc.date.available2016-06-14T11:15:19Z
dc.date.issued2015-04-11
dc.description.abstractThere is a growing requirement within the field of intelligent automation for a formal methodology to capture and classify explicit and tacit skills deployed by operators during complex task performance. This paper describes the development of a dual methodology approach which recognises the inherent differences between continuous tasks and discrete tasks and which proposes separate methodologies for each. Both methodologies emphasise capturing operators’ physical, perceptual, and cognitive skills, however, they fundamentally differ in their approach. The continuous task analysis recognises the non-arbitrary nature of operation ordering and that identifying suitable cues for subtask is a vital component of the skill. Discrete task analysis is a more traditional, chronologically ordered methodology and is intended to increase the resolution of skill classification and be practical for assessing complex tasks involving multiple unique subtasks through the use of taxonomy of generic actions for physical, perceptual, and cognitive actions.en_UK
dc.identifier.citationJ. Everitt, S. Fletcher and A. Caird-Daley. Task analysis of discrete and continuous skills: a dual methodology approach to human skills capture for automation. Theoretical Issues in Ergonomics Science, Volume 16, Issue 5, 2015, pp513-532en_UK
dc.identifier.issn1463-922X
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/9974
dc.language.isoenen_UK
dc.publisherTaylor and Francisen_UK
dc.rightsThis is a postprint of an article whose final and definitive form has been published in Theoretical Issues in Ergonomics Science, (c)2015 Taylor & Francis; Theoretical Issues in Ergonomics Science is available online at: http://www.informaworld.com/ with the DOI:10.1080/1463922X.2015.1028508 -- Attribution-Non-Commercial 3.0 Unported (CC BY-NC 3.0) You are free to: Share — copy and redistribute the material in any medium or format, Adapt — remix, transform, and build upon the material. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectautomationen_UK
dc.subjecthuman-centred automationen_UK
dc.subjecttask decompositionen_UK
dc.subjecthierarchical task analysisen_UK
dc.subjecthuman factors methodsen_UK
dc.titleTask analysis of discrete and continuous skills: a dual methodology approach to human skills capture for automationen_UK
dc.typeArticleen_UK

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