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

Date published

2015-04-11

Free to read from

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor and Francis

Department

Type

Article

ISSN

1463-922X

Format

Citation

J. 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, pp513-532

Abstract

There 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.

Description

Software Description

Software Language

Github

Keywords

automation, human-centred automation, task decomposition, hierarchical task analysis, human factors methods

DOI

Rights

This 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.

Relationships

Relationships

Supplements

Funder/s