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Cognitive work analysis in practice: Adaptation to project scope and industrial context
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The Cognitive Work Analysis (CWA) framework is widely used by researchers for the analysis of complex systems. It, however, lacks the same impact amongst industrial practitioners. This thesis investigates possible adaptations of the framework to project and industrial constraints, and the consequences associated with such adaptations. Long haul heavy vehicle transportation is the application domain for the work presented in the thesis. The CWA framework has been applied within the Methods for Designing Future Autonomous Systems (MODAS) project. Adaptations have been made to fit the framework within the project constraints and the industrial contexts. Interviews with stakeholders in an industrial organization regarding possible use of models from the CWA framework have been made. The CWA was scaled to available resources when applied within the MODAS project. From this we realized that prioritization of work activity can have consequences on the resulting systems ability to handle unforeseen events. Further, a focus on the current system probed a rapid out-dating of the analysis due to technical development. The conclusion is that even if advantages are lost during adaptation due to practical constraints, the CWA framework could add value to practitioners within industry if adapted to the industrial context.

Place, publisher, year, edition, pages
Uppsala University, 2016.
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2016-005
National Category
Human Computer Interaction
Research subject
Computer Science with specialization in Human-Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-284334OAI: oai:DiVA.org:uu-284334DiVA: diva2:920189
Supervisors
Available from: 2016-03-11 Created: 2016-04-17 Last updated: 2017-12-05Bibliographically approved
List of papers
1. Developing a 1st Iteration Concept HMI for Supervising and Controlling a Self-Driving Truck
Open this publication in new window or tab >>Developing a 1st Iteration Concept HMI for Supervising and Controlling a Self-Driving Truck
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(English)Manuscript (preprint) (Other academic)
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-335442 (URN)
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2017-12-05
2. Development and Assessment of Concept HMI for Supervising and Controlling a SelfDriving Truck
Open this publication in new window or tab >>Development and Assessment of Concept HMI for Supervising and Controlling a SelfDriving Truck
Show others...
(English)Manuscript (preprint) (Other academic)
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-335451 (URN)
Note

Title in thesis list of papers: "Developing and Assessing a 2nd and 3rd Iteration Concept HMI for Supervising and Controlling a Self-Driving Truck"

Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2017-12-12
3. Activity prioritization to focus the control task analysis
Open this publication in new window or tab >>Activity prioritization to focus the control task analysis
2016 (English)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, 91-104 p.Article in journal (Refereed) Published
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-298003 (URN)10.1177/1555343416629307 (DOI)000374661200006 ()
Projects
MODAS
Available from: 2016-03-01 Created: 2016-06-29 Last updated: 2017-12-05Bibliographically approved
4. Rebuttal to Burns and Naikar
Open this publication in new window or tab >>Rebuttal to Burns and Naikar
2016 (English)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, 109-110 p.Article in journal, Editorial material (Other academic) Published
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-299392 (URN)10.1177/1555343416629179 (DOI)000374661200008 ()
Available from: 2016-03-31 Created: 2016-07-18 Last updated: 2017-12-05Bibliographically approved
5. Eliciting strategies in revolutionary design: Exploring the hypothesis of predefined strategy categories
Open this publication in new window or tab >>Eliciting strategies in revolutionary design: Exploring the hypothesis of predefined strategy categories
2018 (English)In: Theoretical Issues in Ergonomics Science, ISSN 1463-922X, E-ISSN 1464-536X, Vol. 19, no 1, 101-117 p.Article in journal (Refereed) Published
Abstract [en]

Introducing automation in a human-machine system changes the tasks performed by human operators. It is difficult to analyse systems for which there are no experienced operators. This issue emerged within a project with the aim to develop a human–machine interface for a highly automated long-haul vehicle. To handle the problem, a formative strategies analysis method with promises to enable desktop analyses through predefined strategy categories was adopted. The method was used to investigate strategies for controlling the future long haul vehicle by conducting workshops with today's drivers. The method was shown to be a valuable asset in eliciting strategies for revolutionary design.

Keyword
Cognitive work analysis, strategies analysis, automation, revolutionary systems design, long haul trucks
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-292799 (URN)10.1080/1463922X.2017.1278805 (DOI)
Projects
MODAS
Available from: 2017-01-27 Created: 2016-05-09 Last updated: 2017-12-05
6. Supporting industrial uptake of cognitive work analysis
Open this publication in new window or tab >>Supporting industrial uptake of cognitive work analysis
2015 (English)In: Proc. Human Factors and Ergonomics Society 59th Annual Meeting, Thousand Oaks, CA: Sage Publications, 2015, 170-174 p.Conference paper, Published paper (Refereed)
Abstract [en]

As part of a broader industrial project, the first two stages of a Cognitive Work Analysis (CWA, Work Domain Analysis [WDA] and Control Task Analysis [ConTA]) were completed for Long Haul Commercial Road Transport. To support the potential uptake of CWA by different stakeholders within the industrial organization, parts of the ConTA Contextual Activity Template (CAT) were truncated. The goal of the current, exploratory study, was to identify which stakeholders within the industrial organization could benefit from using the WDA or CAT for either their Strategic (Research) or Product (Development) planning, and over what time horizon. We observed differences in the perceived usefulness of the WDA and the CAT between the different stakeholders. Innovative solutions to the issues raised should significantly enhance the industrial use of Cognitive Work Analysis.

Place, publisher, year, edition, pages
Thousand Oaks, CA: Sage Publications, 2015
National Category
Human Computer Interaction
Identifiers
urn:nbn:se:uu:diva-268730 (URN)978-0-945289-47-0 (ISBN)
Conference
HFES 2015, October 26–30, Los Angeles, CA
Available from: 2015-10-30 Created: 2015-12-09 Last updated: 2017-12-05Bibliographically approved

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