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Activity prioritization to focus the control task analysis
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)In: Journal of Cognitive Engineering and Decision Making, ISSN 1555-3434, E-ISSN 2169-5032, Vol. 10, no 1, p. 91-104Article in journal (Refereed) Published
Resource type
Text
Place, publisher, year, edition, pages
2016. Vol. 10, no 1, p. 91-104
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-298003DOI: 10.1177/1555343416629307ISI: 000374661200006OAI: oai:DiVA.org:uu-298003DiVA, id: diva2:1043877
Projects
MODASAvailable from: 2016-03-01 Created: 2016-06-29 Last updated: 2020-01-08Bibliographically approved
In thesis
1. Cognitive work analysis in practice: Adaptation to project scope and industrial context
Open this publication in new window or tab >>Cognitive work analysis in practice: Adaptation to project scope and industrial context
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:nbn:se:uu:diva-284334 (URN)
Supervisors
Available from: 2016-03-11 Created: 2016-04-17 Last updated: 2018-01-10Bibliographically approved
2. Aiming at Moving Targets: Applying Cognitive Work Analysis to Work Domains in Transition
Open this publication in new window or tab >>Aiming at Moving Targets: Applying Cognitive Work Analysis to Work Domains in Transition
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The design of IT systems for complex work environments is essential for workers to be able to operate more effectively and efficiently. To design a system that supports the workers' specific tasks we need to understand the work demands and the context in which the system operates. However, this is a difficult task because of the dynamic nature of complex systems. The thesis investigates how the cognitive work analysis (CWA) framework (Vicente, 1999) can be applied to understand a domain under transformation by (1) developing methods to manage challenges associated with applying CWA to real-world complex systems and (2) investigating how models from the CWA framework can be used to contend with the moving target for development. The studies are carried out within two quite different application domains: long-haul driving and health care. An activity prioritization method was suggested as a useful technique to focus the analyzing efforts during the analysis of tasks and strategies. However, adaption to practical constraints has to be done thoughtfully in order not to lose the value of the analysis. Moreover, workshops were proposed as a means to bridge the gap between the analysis and design by finding design metaphors and possible future work strategies from the domain knowledge of the drivers. Third, a study was done using the abstraction hierarchy (AH) to learn about digitization in health care, which is an example of ongoing change in a work domain. The AH was also adapted to model health IT systems as a means to provide an overview and consistent vision of strategic decisions. Using the AH as an overview of sub-systems that were developed by different organizations or organizational units would make it possible to identify collaboration needs or a lack of connectivity and integration between systems. The AH can therefore be applied to support the development of an IT system that is to be part of a transforming work domain.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2020. p. 73
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 1893
Keywords
cognitive work analysis, work domain analysis, control task analysis, strategies analysis, abstraction hierarchy, contextual activity template, activity prioritization, systems design, heavy vehicle development, long haul trucks, intensive care, nursing, digitalization.
National Category
Human Computer Interaction
Research subject
Computer Science with specialization in Human-Computer Interaction
Identifiers
urn:nbn:se:uu:diva-401128 (URN)978-91-513-0846-3 (ISBN)
Public defence
2020-02-27, ITC 2446, Lägerhyddsvägen 2, Uppsala, 13:15 (English)
Opponent
Supervisors
Available from: 2020-02-06 Created: 2020-01-08 Last updated: 2020-02-06

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